December 11, 2006
Consolidation of servers in data centers through virtualization has clear benefits to companies but the benefits are overstated by vendors promoting consolidation technology to customers, says an Impact Research Report from Info-Tech Research Group.
"In their pitches to customers, vendors tend to exaggerate the number of servers that can actually be consolidated which can be misleading for enterprises looking to invest in this technology," said Matt Brudzynski, senior research analyst at Info-Tech Research Group. "Vendors are quoting high consolidation ratios of 12 or more virtual machines per processor, while in reality only about half that, six virtual machines per processor is the common average at this time."
Virtualization is a technique that 'fools' servers into thinking they are unique devices when in fact they become a shared resource, reducing the number of physical boxes needed in the data center. Info-Tech's Impact Research report, "The Business Case in Virtualization", provides IT managers with the information they need to make a business case for purchasing decisions.
The high consolidation rates touted by vendors aren't actually happening because customers need to leave adequate capacity on existing host servers for load-balancing, emergency back-up, and ensuring adequate data throughput to disk storage, Brudzynski said. The leading providers of X.86 server consolidation technology are VMWare and Microsoft Corp.
"The industry is moving closer to the target of higher consolidation with introduction of quad-core processors that are at the early stages of deployment in the marketplace," said Brudzynski. "These processors provide greater throughput to disk storage and will help vendors more effectively deliver on consolidation promises."
Prior to implementing virtualization, IT managers should do thorough analysis of server utilization data over the past year, as well as workload forecasting and future performance modeling to ensure the right technology choices are made to achieve desired consolidation, Info-Tech advises.
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 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.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
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.