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Snap-in, Grid-Based Data Integration: IBM Information Server Blade

White Paper It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach, with its pre-configured hardware and software, can further reduce cost and risk for... [14 Jul 2008]

Data Integration in a Grid-Enabled Environment

White Paper SAS Data Integration Studio and SAS Grid Manager add capabilities to the SAS product suite to distribute workloads across a grid of computers and thereby allow large processes to complete more quickly than previously possible. [31 May 2008]

Grid Scheduling Requirements for Remote Data Access

White Paper The purpose of this white paper is to facilitate discussion of grid scheduling requirements for remote access to data. Second, tasks in the grid have different priorities. Although the scheduling of remote data access is not always necessary, there... [03 Jul 2008]

Grid Computing for Business Intelligence and Data Warehousing

White Paper Grid computing is the coordinated use of a large number of servers and storage acting as one computer. Grid computing and Oracle Real Application Clusters provide the most flexible, lowest cost availability and scalability to meet ones needs. [03 Jul 2008]

Data-Intensive Ubiquitous Computing Needs the Grid

White Paper The Grid, as a technology introduced to handle data intensive applications, is an ideal candidate to harness and utilize the massively available information produced such UbiCOMP applications. The implication of this development is that one now has... [07 Feb 2006]

Data Sharing Clusters for Web Serving and Grid Computing

White Paper Grid computing has become a popular technique for achieving scalable performance at a lower cost in technical and scientific computing. Enterprises now employ grid computing for a wide variety of tasks, from genomics research and drug design in the... [16 Nov 2004]

Calculating the Return on Investment for Clustered Caching and Data Grid Solutions

White Paper This white paper demonstrates the ROI of clustered caching and data grid solutions using Oracle Coherence. Innovative middleware solutions such as In-memory Data Grid technology can dramatically increase the utilization of software and hardware... [14 Apr 2008]

Use of the Signal Reference Grid in Data Centers

White Paper This paper explains the origins of the signal reference grid, the operating principles and limitations, and why they no longer are needed. Signal reference grids are automatically specified and installed in data centers despite the fact that they... [26 Apr 2008]

IBL for Replica Selection in Data-Intensive Grid Applications

White Paper Replication of data can help enable high-throughput file transfer and scalable resource storage in scientific Grid applications that involve large data transfers. In many scientific applications, Grid technologies and infrastructures facilitate... [16 Nov 2004]

The Green Grid Data Center Power Efficiency Metrics: PUE and DCiE

White Paper The Green Grid is an association of IT professionals seeking to dramatically raise the energy efficiency of data centers through a series of short-term and long-term proposals. This is an update to the very first white paper published by the Green... [11 Apr 2008]

Higo Bank Counts on Innovative Data Grid to Transform Relationships With Customers

White Paper Higo Bank implemented a financial management system and data grid comprised of IBM eServer pSeries servers and IBM TotalStorage systems running IBM Tivoli storage management software and WebSphere Information Integrator software. [20 Oct 2006]

Avaki Data Grid and IBM Grid Computing Technology and Services

White Paper Avaki Data Grid software helps life science companies get more from their existing IT resources by allowing geographically distributed organizations to share data in a security-rich environment - helping accelerate product development and decision... [03 Jul 2008]

Grid Watch: GGF and Grid Data

White Paper In a grid environment (as with most other computational environments), data must be discovered, stored, abstracted, transformed, managed, integrated, distributed, published, transported, secured, recovered, and queried. [03 Jul 2008]

An Information Grid Solution Using Avaki Data Grid Software

White Paper While this paper focuses on XYZCO's problem and solution, it can be applied to other industries that are looking to virtualize their data resources using information grid middleware. This paper provides a real-life scenario of how to use Avaki Data... [21 Sep 2004]

Storage Resource Broker Data Grid

White Paper The requirements for a data handling system can be expressed as “transparencies” that hide grid implementation details: Name transparency, Location transparency, Protocol transparency, Time transparency, and Single sign-on transparency. [03 Jul 2008]

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