Grid Computing Grid Computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by a network (usually the Internet) to solve large-scale computation problems.
|
This report describes how improving the efficiency of data storage, deduplication solutions has enabled organizations to cost-justify the increased use of disk for backup and recovery. However, the changing demands on IT storage infrastructures have begun to strain the capabilities of initial deduplication products. To meet these demands, a new generation of deduplication solutions is emerging which scale easily, offer improved performance and availability and simplify management and integration within the IT storage infrastructure. HP refers to this new generation as "Deduplication 2.0.
| |
|
|
|
In this on-demand video broadcast, hear Nir Zuk, CTO and co-founder of Palo Alto Networks and Rich Mogull, Analyst and CEO of Securosis, provide insights and recommendations on how to handle consumerization and the proliferation of devices.
| |
|
|
By: Oracle
Published Date: Apr 03, 2012
Learn how you can transform your business, budgets, and service levels with Oracle Database 11g Release 2
| |
|
|
By: CyrusOne
Published Date: Jan 19, 2012
This paper explores issues that arise when planning for growth of Information Technology infrastructure and explains how colocation of data centers can provide scalability, enabling users to modify capacity quickly to meet fluctuating demand.
| |
|
|
|
This paper outlines the potential cost and energy savings available when effective power management is exercised across the client computers.
| |
|
|
|
Riverbed Cascade Pilot and Cascade Shark combine sophisticated, end-to-end monitoring with high-speed,high-fidelity packet capture and analysis to deliver comprehensive network performance monitoring and analysis. Download this insightful solution brief to learn more.
| |
|
|
By: Focus
Published Date: Dec 12, 2011
Read this FREE report today and look forward to a faster and more reliable network tomorrow.
| |
|
|
By: PC Mall
Published Date: Dec 07, 2011
This white paper discusses critical best practices including approaches for both policy and technology.
| |
|
|
By: ZScaler
Published Date: Nov 18, 2011
Read this informative whitepaper to learn how, as a Blue Coat customer, you can reap the benefits of Zscaler's comprehensive cloud security solution. Learn how enterprises with legacy proxy appliances-such as Blue Coat ProxySG-will further enhance their security with our unmatched advanced threat protection.
| |
|
|
By: IBM
Published Date: Oct 19, 2011
Learn how your organization can benefit from these top ten benefits of a server refresh!
| |
|
|
|
Layered Tech's engineers created a customized package of virtual private data centers (VPDCs), managed services and disaster recovery solutions that support KANA's clients, large and small. Layered Tech tailored the architecture to meet the highest enterprise security requirements, as well as ensuring that each KANA client can deploy applications that scale to ongoing volume fluctuations.
| |
|
|
|
Operational challenges have long been used as a reason not to introduce a second vendor into
the network infrastructure. However, by taking an organized approach and using well-established
multivendor network management tools and disciplines, enterprises can reduce operational
challenges to a minimum, while reaping the benefits of a lower-cost, better-performing
infrastructure.
| |
|
|
|
The proliferation of new, extended application development in software as a service, as well as new virtualization technologies, have created in most data centers a conflict between today's outdated capabilities versus tomorrow's growing needs.
| |
|
|
|
A number of associations, consultants and vendors have promoted best practices for
enhancing data center energy efficiency. These practices cover everything from facility lighting
to cooling system design, and have proven useful in helping some companies slow or
reverse the trend of rising data center energy consumption. However, most organizations still
lack a cohesive, holistic approach for reducing data center energy use.
| |
|
|
|
Throughout the first decade of the 21st century, countless new technologies, unprecedented business demands, and expanding IT budgets created the modern data center.
| |
|
|
|
How to use Modular Design to Gain a Business Advantage - If you listen closely, you can hear the deafening roar of fundamental change
| |
|
|
|
This paper offers insight into how airflow can be utilized and manipulated to cool servers in the data center. The analysis uncovers new revelations regarding how tiles perform while framing this performance in financial terms.
| |
|
|
By: Nimsoft
Published Date: Jun 15, 2010
For anyone involved in IT, virtualization has ushered in an entirely new world, one where a lot of traditional rules, strategies, and approaches no longer apply. In the rush to adopt virtualization, many organizations have entered this world ill-equipped to deal with the new realities. This is especially true when it comes to capacity management.
| |
|
|
By: Nimsoft
Published Date: Jun 15, 2010
Cloud computing is getting a lot of coverage in the media and a lot of space in the slide decks presented in analyst briefings.
| |
|
|
|
This Cloud Computing Trends Report provided insight into the expectations small, medium and large businesses have of cloud computing, their intended uses, reasons for adopting, and expected time-frames for implementing cloud-based solutions.
| |
|
|
By: Vertica
Published Date: Feb 23, 2010
Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.
| |
|
|
By: Vertica
Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
| |
|
|
By: HP SAS
Published Date: Oct 15, 2008
SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
| |
|
|
By: HP SAS
Published Date: Sep 24, 2008
Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency. Download HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
| |
|
|
By: Appistry
Published Date: Oct 11, 2007
This white paper describes how software-based, real-time grid environments -- i.e. application fabrics -- are successfully meeting the requirements of today's most demanding applications, delivering scalability, manageability and affordability.
| |
|
|
|