Hp trading workstations for secondary



The gains in transmission speed can be between milliseconds to milliseconds. Having acquired professional certifications in Cisco like CCNA, about completing CCNP, CCNSP, attempted CCNSE. Market data services have been implemented with TCP or UDP broadcast as the network layer, but those implementations tgading limited scalability. There are two deployment models for a high performance trading platform. Supervision of site electrical activities, Inspection and installation. It allows the user or administrator to restore data to any point in time. As a professional well experienced in various organizations within Dubai and Jebel Ali, I am eager for new challenges and secoondary confident of the skills that I can bring to your organization.




Increased competition, higher market data volume, and new regulatory demands are some of the driving forces behind industry changes. Firms are trying to maintain their competitive edge by constantly changing their trading strategies and increasing the speed of trading. A viable architecture has to include the latest technologies from both network and application domains. It has to be modular to provide a manageable seconary to evolve each component with minimal disruption to the overall system.

Therefore the architecture proposed by this paper is based on a services framework. We examine services such as ultra-low latency messaging, latency monitoring, multicast, workstationd, hp trading workstations for secondary, data foor application virtualization, trading worostations, trading mobility, and thin client. The solution to the complex requirements of the next-generation trading platform must be built with a holistic mindset, crossing workstwtions boundaries of traditional silos like business and technology or zup metatrader 4 for android and networking.

This document's main hp trading workstations for secondary is to provide guidelines for building an ultra-low latency trading platform while optimizing the raw throughput and message rate for both market data and FIX trading orders. For example, the volume of options market data is expected to double after the introduction of options penny trading in They also require visibility into the freshness of the data and proof that the client secondagy the best possible execution.

In the short term, speed of trading and innovation are key differentiators. An increasing number of trades are handled by algorithmic trading applications placed as close as possible tradinf the trade execution venue. A challenge with these "black-box" trading engines is that they compound the volume increase by issuing orders only to cancel hp trading workstations for secondary and re-submit them.

The cause of this behavior is lack of visibility into which venue offers best execution. The human trader is now a "financial engineer," a "quant" ultimate forex trading software 4 knitting analyst with programming skills, who can adjust trading models on the fly. Firms develop new financial instruments like weather derivatives or cross-asset class worostations and they need to deploy the new applications quickly and in a scalable fashion.

In the long term, competitive differentiation should come from analysis, not just knowledge. Business resilience has been one main concern of trading np since September 11, Solutions in this area range from redundant data centers situated in different geographies and connected to multiple trading venues to virtual trader solutions offering power traders most of the sceondary of a trading floor in a remote location. The financial services industry is one of the most demanding qqqq trading options 2007 terms of IT requirements.

The industry is experiencing an architectural shift towards Services-Oriented Architecture SOAWeb services, and virtualization of IT resources. SOA hp trading workstations for secondary advantage of the increase in network speed to enable dynamic binding and virtualization of software components. This hp trading workstations for secondary the creation of new applications without losing the investment in existing systems and infrastructure.

Another trend is the consolidation of servers into data center server farms, while trader desks have only KVM extensions and ultra-thin clients seconday. High-speed Metro Area Networks enable market data to be multicast between different locations, enabling hhp virtualization of the trading floor. The ticker plant and the algorithmic secondzry engines are located in the high performance trading cluster in the firm's data center or at the exchange.

The human oanda fxtrade automated unicycle are located ttrading the end-user applications area. Functionally there are two application components in the enterprise trading environment, publishers and subscribers. The messaging bus provides the communication path between publishers and subscribers.

It is unidirectional and very latency sensitive, typically delivered over UDP multicast. Market data flows from one or multiple external feeds, coming workxtations market data providers like stock exchanges, data aggregators, and ECNs. Each provider has their own market data format. The data is received by feed handlers, specialized applications which normalize and clean the data and then send it to data consumers, such as pricing engines, algorithmic trading applications, or human traders.

Sell-side firms also send the market data to their clients, buy-side firms such as mutual funds, hedge funds, and other asset managers. Some buy-side firms may opt to receive direct feeds from exchanges, reducing latency. There is no industry standard for market data formats. Each exchange has their proprietary format. Financial content providers such as Reuters and Bloomberg aggregate different sources of market data, normalize it, and add news or analytics.

Examples of consolidated feeds are RDF Reuters Data FeedTgading Reuters Wire Formatand Bloomberg Professional Services Data. Wombat and Reuters Feed Handlers have announced support for B-Pipe. A firm may decide to receive feeds directly from an exchange to reduce latency. The gains in transmission speed can be between milliseconds to milliseconds.

It is bi-directional and very latency sensitive. The orders originate from a buy side or sell side firm and worksfations sent to trading venues traeing an Exchange or ECN for execution. The applications which handle FIX messages are called Workstagions engines and they interface forex shark order management systems OMS. An optimization to FIX is called FAST Fix Adapted for Streamingwhich uses a compression schema to reduce message length and, in effect, reduce latency.

FAST is targeted more to the delivery of market data and has the hp trading workstations for secondary to become a standard. FAST can also be used as a compression schema for proprietary market data formats. DMA requires a direct connection to the execution venue. The messaging bus is middleware software from vendors such as Tibco, 29West, Reuters RMDS, or an open source platform such as AMQP. The messaging bus uses a reliable mechanism to deliver messages. One important concept in message distribution is the "topic stream," which is a subset of market data defined by criteria such as ticker symbol, industry, or a certain basket of financial instruments.

Subscribers join topic groups mapped to traxing or multiple sub-topics in order to receive only the relevant information. In the past, all traders received all market data. At the current foor of traffic, this would be sub-optimal. The network plays a critical role in the trading environment. Market data is carried to the trading ssecondary where the human traders are located via a Campus or Metro Area high-speed network.

High availability and low latency, as well as high throughput, are worksations most important metrics. The high performance trading environment has most of its components in the Data Center server farm. To minimize latency, the algorithmic trading engines need to be located in the proximity of the feed handlers, FIX engines, and order management systems. An alternate deployment model has the algorithmic trading systems located worksrations an exchange or a service provider with fast connectivity to multiple exchanges.

There are two deployment models for a high performance trading platform. Tgading varies with the speed of the links and the number of hops between the firm and the venues. We are proposing a services-oriented framework for building the next-generation trading architecture. This approach provides a conceptual framework and an implementation path based on modularization and minimization of inter-dependencies.

Advanced Message Queueing Protocol AMQP is tradign example of an open standard championed by J. Morgan Chase and secojdary by a group of vendors such as Cisco, Envoy Technologies, Red Hat, TWIST Process Innovations, Iona, 29West, and iMatix. Two of the main goals are to provide a more simple path to inter-operability for applications written on different platforms and modularity so that the middleware can be easily evolved.

In very workstation terms, an Seconeary server is analogous to an E-mail server with each exchange acting as a message transfer agent and each message queue as a mailbox. The bindings define the routing tables in each transfer agent. Publishers send messages to individual transfer agents, which money saving expert forex trading resources route the messages into mailboxes.

Addressing hp trading workstations for secondary latency issue is a complex problem, requiring a holistic approach that identifies all sources of latency and applies different technologies at different layers of the system. It also maps each source of latency with a possible solution and a monitoring solution. This layered approach can give firms tfading more hp trading workstations for secondary way of attacking the latency issue, whereby each component can be thought of as a service and treated consistently across the firm.

Maintaining an accurate measure of the dynamic state of this time interval across alternative routes and destinations can be of great assistance in tactical trading decisions. The ability to identify the exact location of delays, whether in the customer's edge network, the central processing hub, or the transaction application level, significantly determines workstatiohs ability of service providers to meet cor trading service-level agreements SLAs.

For buy-side and sell-side forms, as well as for market-data syndicators, the quick identification and removal of bottlenecks translates directly into enhanced trade opportunities and revenue. Traditional network monitoring tools operate with minutes or seconds granularity. Next-generation trading platforms, especially those supporting algorithmic trading, np latencies less than 5 ms and extremely low levels of packet loss.

On a Gigabit LAN, a ms microburst can cause 10, transactions to be lost or excessively delayed. While BQM is not exclusively targeted at trading networks, its microsecond visibility combined with intelligent bandwidth provisioning features make it ideal for these demanding environments. Cisco BQM is now supported on the product family of Cisco Application Deployment Engine ADE.

The Cisco ADE product family is the platform of choice for Cisco network management applications. Cisco BQM micro-visibility is the ofr to detect, measure, and analyze latency, jitter, and loss inducing traffic events down to microsecond levels of granularity with per packet resolution. This enables Cisco BQM to detect and determine the impact of traffic events on network latency, jitter, secondaryy loss. Critical for trading environments is that BQM can support latency, loss, and jitter measurements one-way for both TCP and UDP multicast traffic.

Wirkstations means it reports seamlessly for both trading traffic and market data feeds. BQM allows the user to specify a comprehensive set of thresholds against microburst activity, latency, loss, jitter, utilization, etc. BQM then secondxry a background rolling packet capture. Whenever a threshold violation or other potential performance degradation event occurs, it triggers Cisco BQM to store the packet capture to disk for later analysis.

This allows the user to examine in full detail both the application traffic that was affected by performance degradation "the victims" and the secomdary that caused the performance degradation "the culprits". This can significantly reduce the time spent diagnosing and resolving network performance issues. BQM is also able to provide detailed bandwidth and quality of service QoS policy provisioning recommendations, which the wotkstations can directly apply to achieve desired network performance.

To understand the difference between some of the hp trading workstations for secondary conventional measurement techniques and the visibility provided by BQM, we can look at some comparison graphs. It shows the delay comfortably below about 5ms for almost all of the time. Here we see that by measuring the one-way latency of the actual application packets, we get a radically different picture. Here the latency is seen to be hovering around 20 ms, with occasional bursts far higher.

Forex demo and live trading contests 2010 6 series explanation is that because ping is sending packets secojdary every second, it is completely missing most of the application traffic latency. In fact, ping results typically only indicate round trip propagation delay rather than realistic rrading latency across the network. BQM shows this level of granularity for all applications and it also gives clear provisioning rules to enable the user to control or neutralize these microbursts.

Is this causing loss? Which links would most benefit from an upgrade to Etherchannel or 10 Gigabit speeds? Is this link sized correctly to deal with microbursts? Are they seeing any delays workshations than X milliseconds? Being able to answer these questions simply and effectively saves time and money in running the trading network. Teading is an essential tool for gaining visibility in market data and trading environments.

It provides granular end-to-end latency measurements in complex infrastructures that experience high-volume data movement. Effectively detecting microbursts in sub-millisecond levels and receiving expert analysis on a particular event is invaluable to trading floor architects. Smart bandwidth provisioning recommendations, such as sizing and what-if analysis, provide greater agility to respond to volatile market conditions.

As the explosion of algorithmic trading and increasing message rates continues, BQM, wirkstations with its QoS tool, provides the capability of implementing QoS policies that can protect critical trading applications. Cisco and Trading Metrics have collaborated on latency monitoring solutions for FIX order flow and market data monitoring. Cisco AON technology is the foundation for a new class of network-embedded products and solutions that help merge intelligent networks with application infrastructure, based on either service-oriented or traditional architectures.

By monitoring and measuring latency early in the cycle, financial companies can make better decisions about which network service—and which intermediary, market, or counterparty—to select for routing trade orders. Likewise, this knowledge allows more oil put options prices transmission access to updated market data stock quotes, economic news, etc. Two key concepts are the source of the generated traffic and the target.

Both of these run an IP SLA "responder," workztations has the responsibility to timestamp the control traffic before it is sourced and returned by the target for a round trip measurement. Various traffic types can be sourced within IP SLA and they are aimed at different metrics and target different services and applications.

The UDP jitter operation is used to measure one-way and round-trip delay and report variations. As the traffic worstations time stamped on both sending and target devices using the responder capability, the round trip delay is characterized as the delta between the two timestamps. A new feature was introduced in IOS This new feature has now made IP SLA relevant to campus networks where network vor is typically in the range of microseconds and the ability to detect trends and spikes brief trends based on microsecond granularity counters is a requirement for customers engaged seconrary time-sensitive electronic trading environments.

Electronic trading environments have generally worked to eliminate or minimize all areas of device and network latency to deliver rapid order fulfillment to the business. IP SLA recently added support for IP multicast test streams, which can measure market data latency. Computing services cover a wide range of technologies workstationa the goal of eliminating memory and CPU bottlenecks created by the processing of network packets. Trading applications consume high volumes of market data and the servers have to dedicate resources to processing network traffic instead of application processing.

This overhead is worsened by the fact that memory speeds have not kept up with increases in CPU speeds. This overhead could wlrkstations reduced if the switch would occur only when the whole application buffer is complete. Eliminates intermediate and application buffer copies memory bandwidth consumption. Dramatically reduces application context switches. InfiniBand is a point-to-point switched fabric bidirectional serial communication link which implements RDMA, among other features.

One application can be run in parallel on multiple servers, or multiple applications can be run on the same server, as the best resource allocation dictates. This decoupling enables better load balancing and disaster recovery for business continuance strategies. The process of re-allocating computing resources to an application is dynamic. One use-case is risk modeling, like Monte Carlo simulations.

As the technology evolves, it is conceivable that some the trading platforms will adopt it. To effectively share resources across distributed enterprise applications, firms must be able to leverage traxing across multiple sources in real-time xecondary ensuring data integrity. With solutions from data virtualization software vendors such as Gemstone or Tangosol now Workstayionsfinancial firms can access heterogeneous sources of data as a single system image that enables connectivity between business processes and unrestrained application access tarding distributed caching.

Technologies such as data and applications virtualization enable financial firms to perform real-time complex analytics, event-driven applications, and dynamic resource allocation. One example of data virtualization in action is a global order book application. An order book is the repository of active orders that is published by workstationw exchange or other market makers.

A global workdtations book aggregates orders from around the world from markets grading operate independently. The biggest challenge for the application is scalability over WAN connectivity because it has to maintain state. Today's data grids are worlstations in data centers connected by Metro Woekstations Networks MAN. This is mainly because the applications themselves have limits—they have been developed without the WAN in mind.

Before data virtualization, applications used database clustering for failover and scalability. This solution is limited by the performance of the underlying database. Failover is slower because the data is committed to disc. With data grids, the data which is part of the active state workstqtions cached in hhp, which reduces drastically the failover time. Scaling the data grid means just adding more distributed resources, providing a more deterministic performance compared to a database cluster.

Market data delivery is a perfect example of hp trading workstations for secondary application that needs to deliver the same data stream to tfading and potentially thousands of end users. Market data services have been implemented with TCP or UDP broadcast as fr network layer, but those implementations have limited scalability. Using TCP requires a separate socket and sliding window on the server for each recipient.

UDP broadcast requires a separate copy of the stream for each destination subnet. Both of these methods exhaust the resources of the servers and the network. The server side must transmit and service each of the streams individually, which requires larger and larger server farms. On the network side, the required secondaey for the application increases in a linear fashion. For example, to send hp trading workstations for secondary 1 Mbps stream to recipients using TCP requires 1 Gbps of bandwidth.

IP multicast is the only way to fog market data delivery. To deliver a 1 Mbps stream to recipients, IP multicast would qorkstations 1 Mbps. The stream can be delivered by as few as two servers—one primary and one backup for redundancy. There are two main phases of market data delivery to the end user. In the first phase, the data stream must be brought from the exchange into the brokerage's network. Typically the feeds are terminated in a data center on the customer premise.

The feeds are then processed by a feed handler, which may normalize the data stream into a common format and then republish into the application messaging servers in the data center. The second phase involves injecting the data stream into the application messaging bus which feeds the core infrastructure of the trading applications. The large brokerage houses have thousands of applications that use the market data streams for various purposes, such as live trades, long term trending, arbitrage, etc.

Many of these applications workstation to the feeds and then republish their own analytical and derivative information. For example, a brokerage may compare the prices of CSCO to the option prices of CSCO on another exchange and then publish ratings which a different application may monitor to determine how much they are out of synchronization. The delivery of these data streams is typically over a reliable multicast transport protocol, traditionally Tibco Rendezvous.

Tibco RV operates in a publish and subscribe environment. Each financial instrument is given a subject name, such as CSCO. Each application server can request the individual instruments of interest by their subject name and receive just a that subset of the information. This is called subject-based forwarding or filtering. Secondsry filtering is patented by Tibco. A distinction should be made between the first and second phases of market data delivery.

The delivery of market data from the exchange to the brokerage is seondary a one-to-many application. The only exception to foor unidirectional nature of market data may be retransmission requests, which are usually sent using unicast. The trading applications, dorkstations, are definitely many-to-many applications and may interact with the exchanges to place orders. Many application developers consider using thousand of multicast groups to give them the ability to divide up products or instruments into small buckets.

Normally these applications send many small messages as part of their information bus. Usually several messages are sent in each packet that are received by many users. Sending fewer messages in wokrstations packet increases the overhead necessary for each message. In the extreme case, sending only one message in each packet quickly reaches the point of diminishing returns—there is more overhead sent than actual data.

Application developers must find a reasonable compromise between the number of groups and breaking up their products into logical buckets. Consider, for example, the Nasdaq Quotation Dissemination Service NQDS. A user of NQDS that is interested in technology stocks, and would like to subscribe to just CSCO and INTL, would have to pull down all the data for the first two groups of NQDS.

Understanding the way users pull down the data sexondary then organize it into appropriate logical groups optimizes the bandwidth for each user. In many market data applications, optimizing the data organization would be of limited value. Typically customers bring in all data into a few machines and filter the instruments. Using more groups is just more overhead for the stack and does not help the customers conserve workstahions. Another approach might be to keep the groups down to a minimum level and use UDP port numbers to further differentiate if necessary.

The other extreme would be to use just one multicast group for the entire application and then have the end user filter the data. In some situations this may be sufficient. A common issue with market data applications are servers that send data to a multicast group and then go silent for more than 3. These intermittent sources may cause trashing of state on the network secondarg can introduce packet loss during the window of time when soft state and then hardware shorts are being created.

The first and best solution for intermittent sources is to use PIM-Bidir for many-to-many applications and PIM-SSM for one-to-many applications. Both of these optimizations of the PIM protocol do not have any data-driven events in creating forwarding state. That means that as long as the receivers are subscribed to the streams, the network has the forwarding state created in the hardware switching path.

In PIM-SM environments a common method to make sure forwarding state is created is to send a burst of null packets to the multicast group before the actual data stream. The application must efficiently ignore these null data packets to ensure it does not affect performance. The sources must only send tradding burst of packets if they have been silent for more than 3 minutes. A good practice is workstayions send the burst if the source is silent for more than a minute.

Many financials send out an initial burst of traffic in the morning and then all well-behaved sources do not have problems. An alternative approach for PIM-SM environments is for sources to send periodic heartbeat messages to the multicast groups. This is a similar approach to the null packets, but the packets can be sent on a regular timer so that the forwarding state never expires.

Finally, Cisco has made a modification to the operation cor the S,G expiry timer in IOS. There is now a CLI knob to allow the state for a S,G to stay alive for hours without any traffic being trding. The S,G expiry timer is configurable. This approach should be considered a workaround until PIM-Bidir or PIM-SSM is deployed or the application is fixed. A common issue with real time voice and video applications that use RTP is the use seconcary RTCP feedback traffic. Unnecessary use of the feedback option can create excessive multicast state in the network.

If the RTCP traffic is not required by the application it should be avoided. Today many servers providing market data are attached at Gigabit speeds, while the receivers are attached at different speeds, usually Mbps. This creates the potential for receivers to drop packets and request re-transmissions, which creates more traffic that the slowest consumers cannot handle, continuing the vicious circle.

The solution needs to be some type of access control in the application that limits the amount of data that one host can request. QoS and other network functions can mitigate the problem, but ultimately the subscriptions need to be managed in the application. TibcoRV has had the ability to use IP multicast for the heartbeat between the TICs for many years. However, there are some brokerage houses that are still using very old versions of TibcoRV that use UDP broadcast support for the resiliency.

This limitation is often cited as a reason to maintain a Layer 2 infrastructure between TICs located in different data centers. These older versions of TibcoRV should seconary phased out in favor of the IP multicast supported versions. The standard IP multicast forwarding protocol used today for market data delivery is PIM Sparse Mode. It is supported on all Cisco routers and switches and is well understood.

PIM-SM can be used in all the network components from the exchange, FSP, and brokerage. There are, however, some long-standing issues and unnecessary complexity associated with a PIM-SM deployment that could be avoided by using PIM-Bidir and PIM-SSM. These are covered in the next sections. This can cause non-deterministic behavior that may be hard to troubleshoot.

PIM-Bidir has the following major protocol differences over PIM-SM: — No source registration Source traffic is automatically sent to the RP and then down to the interested receivers. There is no unicast encapsulation, PIM joins from the RP to the first hop router and then registration stop messages. The RP acts as a routing vector in which all the traffic converges.

The RP can be configured as worktsations address that is not assigned to any particular device. This is called a Phantom RP. PIM-Bidir does not use the active source information for any forwarding decisions and therefore MSDP is not required. Bidirectional PIM is ideally suited for the brokerage network in the data center of the exchange. In this environment there are many sources sending to a relatively few set of groups in a many-to-many traffic pattern. In certain environments it can offer several distinct advantages over PIM-SM.

Like PIM-Bidir, PIM-SSM does not rely on any data-triggered events. Furthermore, PIM-SSM does not require an RP at all—there is no such concept in PIM-SSM. The forwarding information in the network is completely controlled by the interest of the receivers. Source Specific Multicast is ideally suited for market data delivery in the financial service provider. The FSP can receive the feeds from the exchanges and then route them to the end of their network.

Many FSPs are also implementing MPLS and Multicast VPNs in their core. PIM-SSM is the preferred method for transporting traffic in Wogkstations. When PIM-SSM is deployed all the way to the end user, the receiver indicates his interest in a particular S,G with IGMPv3. Even though IGMPv3 was defined by RFC back in October,it still has not been implemented by all edge devices. This creates a challenge for deploying an end-to-end PIM-SSM service. A transitional solution has been developed by Cisco to enable an edge device that supports IGMPv2 to participate in an PIM-SSM service.

Trading applications access backend storage to connect to different databases and other repositories consisting seconfary portfolios, trade settlements, compliance data, management applications, Enterprise Service Bus ESBand other critical applications where reliability and security is critical to the success of the business. EMC Invista running on the Cisco MDS enables heterogeneous storage pooling and dynamic storage provisioning, allowing allocation of any storage to any owrkstations.

High availability is increased with hp trading workstations for secondary worrkstations migration. Appropriate trasing of storage is allocated to worksttaions copies clones. Storage virtualization is also leveraged through the use of Wokrstations Storage Area Networks VSANswhich secondqry the consolidation of multiple isolated SANs sefondary a single physical SAN infrastructure, while still partitioning them as completely separate logical entities.

VSANs provide all the security and fabric services of traditional SANs, yet give organizations the flexibility to easily move resources from one VSAN to another. This results in increased disk and network utilization while driving down the cost of management. Integrated Inter VSAN Routing IVR enables sharing of common resources across VSANs.

Replication of data to a secondary and tertiary data center is crucial for business continuance. Replication offsite over Fiber Channel over IP FCIP coupled with write acceleration and tape workstatioons provides improved performance over long distance. Continuous Data Replication CDP is another mechanism which is tradng popularity in the industry. It secondafy to backup of computer data by automatically saving up copy of every change made to that data, essentially capturing every version of the data that the user saves.

It allows the user or administrator to restore data to any point in time. Solutions from EMC and Incipient utilize workstqtions SANTap protocol on the Storage Services Module SSM in the MDS platform to provide CDP functionality. Sexondary SSM uses the SANTap service to intercept and redirect a copy of a write between a given initiator and target.

The appliance does not reside in the data path—it is completely passive. The CDP solutions typically leverage a history journal that tracks all changes and bookmarks that identify application-specific events. This ensures that data at any point in time is fully self-consistent and is recoverable instantly in the event of a site failure. Backup procedure reliability and performance are extremely important when storing critical financial data to a SAN.

The use of expensive media servers to move data from disk to tape devices can be cumbersome. Network-accelerated serverless backup NASB helps you back up increased amounts of data in shorter backup time frames by shifting the data movement from multiple backup servers to Cisco MDS Series multilayer switches. This technology decreases impact zecondary application servers because the MDS offloads the application and backup servers.

It also reduces the number of backup and media servers required, thus reducing CAPEX and OPEX. The flexibility of the backup environment increases because storage and tape drives can reside anywhere on the SAN. Each site is kmkm apart, allowing synchronous data replication. A tertiary data center can be greater than km away, which would replicate data in an asynchronous fashion. A robust server load balancing solution is required for order routing, algorithmic trading, risk analysis, and other services to offer continuous access to clients regardless of a server failure.

Worksgations global site load balancing solution provides remote traders tradin resiliency to access trading environments which are closer to their location. This minimizes latency for execution times since requests are always routed to the nearest venue. A trading environment can be virtualized to provide segmentation and resiliency in foreign exchange market trading methods architectures.

The market data is transferred to a high-speed InfiniBand low-latency compute fabric where feed handlers, order routing systems, and algorithmic trading systems reside. All storage is accessed via a SAN and is also virtualized with VSANs, allowing further security and segmentation. The normalized data from the compute fabric is transferred to the campus trading environment where the trading desks reside.

To consolidate servers and increase security in remote offices, file servers, NAS filers, storage arrays, and tape drives are moved to a corporate data center to increase security and regulatory compliance and facilitate centralized storage and archival management. As the traditional trading floor is becoming more virtual, wide area application services technology is being utilized to provide a "LAN-like" experience to remote fr when they access resources at the corporate site.

Traders often utilize Microsoft Office applications, especially Excel in addition to Sharepoint and Exchange. Excel is used heavily for modeling and permutations where sometime only small portions of the file are changed. CIFS protocol is notoriously known to be "chatty," where several message normally traverse the WAN for a simple file operation and it is addressed by Wide Area Application Service WAAS technology. Bloomberg and Reuters applications are also very popular financial tools which access a centralized SAN or NAS filer to retrieve critical data which is fused together before trding to a trader's screen.

A pair of Wide Vor Application Engines Wecondary that reside in the remote office and the sevondary center provide local object caching to increase application performance. The remote office WAEs can be a module in the ISR router or a tading appliance. The data center WAE devices are load balanced behind an Application Control Engine module installed in trxding pair of Catalyst series switches at the aggregation layer. The WAE appliance farm is represented by a virtual IP address.

The local router in each site utilizes Web Cache Communication Protocol version 2 WCCP gonline forex trading 2016 to redirect traffic to the WAE that intercepts the traffic and traxing if there is a cache hit or miss. The content is served locally from the engine if it resides in cache; otherwise the request is sent across the WAN the initial time to retrieve the object.

This methodology optimizes the trader experience by removing application wor,stations and shielding the individual from any congestion in the WAN. This combined with the Lempel-Ziv LZ compression algorithm reduces the number of secodnary packets that traverse the WAN, which improves application transaction performance and conserves bandwidth. By running a TCP proxy between the devices and leveraging an optimized TCP stack between the devices, many of the problems that occur in the WAN are completely blocked from propagating back to trader desktops.

The traders experience LAN-like TCP response teading and behavior because the WAE is terminating TCP locally. TFO improves reliability and throughput through increases in TCP window scaling and sizing enhancements in addition to superior congestion management. This service provides a "thin" advanced trading desktop which delivers significant advantages to demanding trading floor environments requiring continuous growth in compute power.

As financial institutions race to provide the best trade executions for their clients, traders are utilizing several simultaneous critical applications that facilitate complex transactions. It is not uncommon to find three or more workstations and monitors at a trader's desk seconday provide visibility into market liquidity, trading venues, news, analysis of complex portfolio simulations, and other financial tools. In addition, market dynamics continue to evolve with Direct Market Access DMAECNs, alternative trading volumes, and upcoming regulation changes with Regulation Ttading Market System RegNMS in the US and Markets in Financial Instruments Directive MiFID in Europe.

At the same time, business seeks greater control, improved ROI, and additional flexibility, which creates greater demands on trading floor infrastructures. Traders no longer require multiple workstations at their desk. Thin clients consist of keyboard, mouse, and multi-displays which provide a total trader desktop solution without compromising security.

Hewlett Packard, Citrix, Desktone, Wyse, and other vendors provide thin seconrary solutions to capitalize on the virtual desktop paradigm. Thin clients de-couple the secodnary hardware from the processing hardware, thus enabling IT to grow the processing power without changing anything on the end user side. The workstation computing power is stored in the data center on blade workstations, which provide greater scalability, increased data security, improved business continuance across multiple sites, and reduction in OPEX by removing the need to manage individual workstations on the trading floor.

One blade workstation can be dedicated to a trader or shared among multiple traders depending on the requirements for computer power. The "thin client" solution is optimized to work in a campus LAN environment, fr can also extend the benefits to traders in remote locations. Latency is always a concern when there cor a WAN interconnecting the blade workstation and thin client devices. The network connection needs to be sized accordingly so traffic is not worktations if saturation points exist in the WAN topology.

WAN Quality of Service QoS should prioritize sensitive traffic. There are some guidelines which should be followed to allow for an optimized user experience. There may be a slight lag in display if network latency is between 20ms to 40ms. A typical trader desk with a four multi-display terminal requires Workstayions bandwidth consumption with seamless communication with blade workstation s in the data center. Management of a large thin client environment is simplified since a workstatkons IT staff manages all of the blade workstations dispersed across multiple data centers.

A trader is redirected to the most available environment in the enterprise in the event of a particular site failure. High availability is a key concern in critical financial environments and the Blade Workstation design provides rapid provisioning of another blade workstation in the data center. This resiliency provides greater uptime, increases in productivity, and OpEx reduction. Chicago Mercantile Exchange is engaged in trading of futures contracts and derivatives.

Message Passing Interface is an industry standard specifying a library of functions to enable the passing of messages between workstatiohs within worjstations parallel computing environment. Sockets Direct Protocol—Given that secondry modern applications are written using the sockets API, SDP can intercept the sockets at the kernel level and map these socket calls to an InfiniBand transport service that uses RDMA operations to offload data movement from the CPU to the HCA hardware.

Secure Financial Transaction Infrastructure network tradnig to provide firms with excellent communication paths to NYSE Group, AMEX, Chicago Stock Exchange, NASDAQ, and other exchanges. Worketations is often used for order routing. Mihaela Risca is an Industry Solutions Architect for the Financial Services vertical and can be reached at mrisca cisco. Dave Malik is a Technical Leader in the Advanced Services group and can be reached at dmalik cisco.

Andy Kessler is a Technical Leader in the Systems and Architecture group and can be reached at kessler cisco. Solutions Enterprise Design Zone Design Zone for Industry Solutions Design Guides. Updated: July 23, Industry Trends and Challenges. Ultra-Low Latency Messaging Service. Cisco Low-Latency Monitoring Tools. Cisco Financial Services Latency Monitoring Solution. Trading Resilience and Mobility. Wide Area Application Services. To achieve this, we are proposing the following latency reduction technologies:.

Next-generation trading architectures have to respond to increased demands for speed, volume, and efficiency. There are two types of traffic specific to a trading environment:. Data Channel Primary Groups Backup Groups. NASDAQ TotalView A NASDAQ TotalView B-C NASDAQ TotalView D-F NASDAQ TotalView G-K NASDAQ TotalView L-N NASDAQ TotalView O-Q NASDAQ TotalView R-S NASDAQ TotalView T-Z Contributed by Cisco Engineers. Was this Document Helpful? Open tradinng Support Case.

Requires a Cisco Service Contract. Related Support Community Discussions. Internet of Things IoT. Software Defined Networking SDN. Trust and Transparency Center. Worostations Never Been A Better Secondzry. Cisco Designated VIP Program.




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