November 15, 2004
Sun Microsystems Inc and Sonic Software Corp announced outstanding performance results achieved when Sonic Software tested SonicMQ running on Solaris 10 Operating System (OS) for AMD Opteron processor-based systems. The message tests achieved throughput volume of 94,000 messages per second, confirming the Sonic solution running on Sun is seven to 15 times faster than IBM WebSphereMQ (formerly MQSeries) running on Intel-based hardware.
SonicMQ running on the Solaris 10 OS can enable organizations to significantly increase the scalability and reduce the latency of their enterprise messaging systems. These capabilities are especially critical in the financial services industry where market data volumes have increased dramatically, and automated program trading has made latency a competitive business factor. An enterprise messaging solution built on SonicMQ running on Solaris 10 can help firms more efficiently manage their data load. Further, the patent-pending Sonic Continuous Availability Architecture (CAA) provides firms with fully software-based messaging fault-tolerance, reducing failover from minutes to seconds and eliminating potentially costly transaction failures.
The results of Sonic's tests represent unprecedented performance and scalability for SonicMQ, and demonstrate the continued strength of Sonic Software technology on Sun solutions. As the foundation for Sonic's industry- leading enterprise service bus, Sonic ESB, the tests indicate performance improvements that will help make service-oriented architecture (SOA) a viable option for applications where performance is critical, such as in financial services.
Sonic Software is one of several key independent software vendors (ISVs) that have announced support for their applications on the Solaris OS on x86 systems, demonstrating the continued growth within the Solaris for x86 ecosystem and choice of low-cost solutions. The reliability and speed of Solaris running on Sun Fire systems makes it an ideal choice for companies tasked with high-throughput processing, such as financial institutions, telecom providers, and call centers.
Sonic conducted performance tests running SonicMQ on two Sun Fire(TM) V40z servers with 2 AMD Opteron processors running Sun Solaris 10 vs. WebSphereMQ running on a 4-way 3.0 GHz Intel Xeon machine running Windows 2003. The Sun solution showed strong performance in CPU, networking and storage, demonstrating the best performance of all environments tested, including those from IBM and HP.
In a publish-subscribe (pub/sub), non-persistent, non-durable configuration using 100 byte messages with auto acknowledgment, tests showed dramatically higher throughput for SonicMQ (sender and receiver paired per topic).
In a point to point, persistent configuration using 100 byte messages with auto acknowledgment, tests show superior scalability for SonicMQ running on Solaris (sender and receiver paired per queue).
Since its inception in 1982, a singular vision -- "The Network Is The Computer" -- has propelled Sun Microsystems Inc to its position as a provider of industrial-strength hardware, software and services that make the Net work. Sun can be found in more than 100 countries and on the World Wide Web at http://sun.com/.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.