September 18, 2006
IBM has announced new software that allows clients to transform their existing technology infrastructures into dynamic, virtualized environments that can be more efficient to run, easier to manage and use less power and space, according to the company.
The software, ideal for use in Grid computing environments, reduces complexity and provides a central point to prioritize, manage and integrate workloads and data for enterprise processing through the intelligent matching of resources to workload requests, without human intervention.
The Tivoli Dynamic Workload Broker further expands IBM's leadership in workload automation for enterprise clients by extending the capabilities of the Tivoli Workload Scheduler to virtual computing environments -- automatically clustering, scheduling and managing different types of workloads across a virtualized environment.
Clients embracing SOA can also use this technology in managing heterogeneous workloads to help accelerate the integration of batch function, where various computing jobs are submitted to queues and then scheduled for processing.
"With the Tivoli Dynamic Workload Broker, IBM is in the advanced stages of our evolution toward becoming the cross-enterprise workload management backbone, capable of dynamic end-to-end scheduling across mainframe, distributed, Grid, and high performance computing environments," said Ken King, vice president of Grid computing at IBM. "This new software expands our Batch-on-Grid solution to improve business efficiency and reduce costs by automatically adapting workload execution to environment changes, distributing workloads to the best available resource across a dynamically shifting, cross-enterprise resource pool, and drastically reducing the labor intensive process of manually planning job, task and service assignments to each resource."
The adoption of Grid computing is growing, especially in the insurance and financial industries, as Grid computing enables companies to use existing physical resources instead of buying all new hardware.
The new offering expands the IBM scheduling and workload management portfolio, which includes the Tivoli Workload Scheduler, Tivoli Workload Scheduler LoadLeveler and WebSphere Extended Deployment. IBM's family of workload automation offerings delivers comprehensive workload management capabilities for batch workloads, workflows, J2EE transactional applications, and parallel applications across clusters and heterogeneous grids.
The offering will be available on October 6, 2006 and can be purchased through IBM and select IBM Grid and Software Business Partners and re-sellers.
IBM Batch-on-Grid blends self-managing autonomic computing with technology borrowed from a mainstay programming technique called "batch computing," which originated in the 1950s and is still used by thousands of finance, government and industrial customers.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.