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Utility computing is a business model whereby computer resources are provided on an on-demand and pay-per-use basis. This is different with the conventional computing model in that customers do not have to invest in owning (peak need) resources anymore, but only are billed for the actual use of resources.
Start planning your deployment of the Cisco Unified Computing System (Cisco UCS), powered by the Intel® Xeon® processor, with this useful, step-by-step design guide.
The Cisco UCS Technology Design Guide simplifies the steps to a successful deployment. Four modules guide you through a Cisco engineer-tested framework that addresses typical data center and server issues.
Published By: Equinix
Published Date: Jul 31, 2012
This GigaOM Pro paper explores what functions to consider when selecting and working with hosting providers as it relates to the entire value chain of function and performance. Get your complimentary 6-page report now.
Published By: PC Mall
Published Date: Mar 03, 2012
With impressive performance scalability, the HP ProLiant DL385 G7 and ProLiant BL465c G7 attained outstanding results for two-processor platforms on the two-tier SAP® Sales and Distribution (SD) standard application benchmark.
Energy and utility companies need to manage incidents such as customer complaints or disputes to improve customer service while protecting the business should escalations occur. Advanced case management (ACM) provides enhanced service and risk management throughout the lifecycle of a case.
This joint Intel white paper explores how to address virtualization in an environment with high I/O. The paper includes a technology overview, network concerns and explains how Virtuozzo and Intel are well suited for the high I/O environment.
IBM HACMP supports a wide variety of configurations, and provides the cluster administrator with a great deal of flexibility. With this flexibility comes the responsibility to make wise choices. This paper discusses the choices that the cluster designer can make, and about the alternatives that make for the highest level of availability.
Published By: CDW Vmware
Published Date: Aug 02, 2012
In today's competitive business landscape, users' needs are continuously changing. Employees want access to their data and applications anytime, anywhere, from any device. The journey to seamlessly integrate data and applications across all devices begins with desktop modernization.
Published By: Marketo
Published Date: Jul 31, 2012
The Definitive Guide to Marketing Metrics and Marketing Analytics shows marketing professionals how to talk the talk of C-level executives in terms of forecasting and reporting, and walk the walk to the revenue table by leveraging metrics that matter.
The world of super computing has changed in recent years, moving from a scale-up, monolithic, expensive architecture to the scale-out clustering of low cost microprocessors, also referred to as High Performance Business Computing (HPBC) clusters.
Establishing an ESB is essential in delivering a Service-Oriented Architecture. But for an SOA to be effective, you’ll also need your ESB to recover quickly from unexpected hardware and software failures. Clustering can help by enabling your systems to operate in parallel, so that if one should fail, those remaining can seamlessly step in.
This white paper primarily focuses on the expanding role of HPC management software in the HPC marketplace. The paper emphasizes its historical development and considers its business case and future prospects while dispensing with more elaborate technical analysis and product comparisons.
Published By: Quocirca
Published Date: Nov 13, 2007
The evolution of Blade Computing has moved from mere server consolidation to a way of managing IT assets which brings significant business benefits. This paper aims to explain those benefits to the business and IT manager, and show how blade computing can be implemented to save money and improve the way IT serves the business needs.
This technical white paper reviews the principal tenets of application virtualization; freeing application configurations from OS and infrastructure; gaining centralized command and control over system resources; and dynamically allocating resources to applications based on demand.