A Networking Approach to Grid Computing by Daniel Minoli

By Daniel Minoli

Deriving the grid metaphor from the electrical community of cables and tool stations, grid computing is and extension of the concept that of "computer time sharing" during which the computing setting goals at allowing the choice, sharing, and aggregation of geographically allotted assets in keeping with a number of issues vital to optimizing computing assets. Aiming his quantity at company IT execs, Minoli (managing director, modern Networks integrated) synthesizes the kingdom of the sector, masking such themes as grid advantages; parts and architectures; criteria; deployment concerns and techniques; grid approach economics; and conversation platforms for neighborhood, nationwide, and international grids.

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What are the performance levels for businesses: tera (FLOPS, bps, B) or mega (FLOPS, bps, B)? Tera or giga? Peta or exa? What are the requisite networking mechanisms without which grid computing cannot happen? TEAM LinG - Live, Informative, Non-cost and Genuine! TEAM LinG - Live, Informative, Non-cost and Genuine! CHAPTER 2 Grid Benefits and Status of Technology This chapter examines the potential business benefits for considering grid technology in a corporate environment, while at the same time looking at some of the challenges to be faced and addressed.

These costs have remained somewhat fixed over the years, as shown in [127]. A new opportunity now exists to address these cost components. Some of these savings can be achieved by replacing a technology with another. Other savings can be achieved by technology simplification (such as virtualization). We have already cited anecdotal information in Chapter 1 pointing to nontrivial potential savings with grid computing. One researcher stated that “Service providers that are not planning to invest in a portfolio of IT utility services will be under increasing pressure to show they can still provide flexible, cost-effective IT infrastructure services supporting everchanging business applications and processes” [34].

Although cluster management systems such as Platform’s Load Sharing Facility, Veridian’s Portable Batch System, or Sun’s Sun Grid Engine can deliver enhanced distributed computing services, they are not grids themselves; these cluster management systems have centralized control, complete knowledge of system state and user requests, and complete control over individual components (such features tend not to be characteristic of a grid proper) [103]. TEAM LinG - Live, Informative, Non-cost and Genuine!

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