By Daniel Minoli
Deriving the grid metaphor from the electrical community of cables and gear stations, grid computing is and extension of the idea that of "computer time sharing" within which the computing surroundings goals at allowing the choice, sharing, and aggregation of geographically disbursed assets in line with more than a few issues very important to optimizing computing assets. Aiming his quantity at company IT execs, Minoli (managing director, modern Networks included) synthesizes the kingdom of the sphere, protecting such issues as grid advantages; elements and architectures; criteria; deployment concerns and methods; grid process economics; and verbal exchange platforms for neighborhood, nationwide, and international grids.
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Additional info for A Networking Approach to Grid Computing
During the past ten years or so, a tour-de-force commoditization has been experienced in computing hardware platforms that support IT applications at businesses of all sizes. ” The price-disrupting predicament brought about by commoditization affords new opportunities for organizations, although it also has conspicuous process- and people-dislocating consequences. Grid computing is but one way to capitalize on this Moore’s Law driven commoditization. This is yet another subtheme of this text. We have noted already that at its core grid computing is, and must be, based on an open set of standards and protocols that enable communication across heterogeneous, geographically dispersed environments.
25 26 INTRODUCTION general-purpose protocols and interfaces. Standards for grid computing are now being defined and are beginning to be implemented by the vendors [90, 122]. To make the most effective use of the computing resources available, these environments need to utilize common protocols . Standards are the “holy grail” of grid computing (see Chapters 4 and 5). Regarding this issue, proponents make the case that we are now indeed entering a new phase of grid computing in which standards will define grids in a consistent way by enabling grid systems to become easily built “off-the-shelf” systems.
18 INTRODUCTION pacity, widely distributed among a tribal arrangement of PCs, midrange platforms, mainframes, and supercomputers. For example, if a company has 10,000 PCs, at an average computing power of 333 MIPS, this equates to an aggregate 3 tera (1012) floating-point operations per second (TFLOPS) of potential computing power. As another example, in the United States there are an estimated 300 million computers. At an average computing power of 333 MIPS, this equates to a raw computing power of 100,000 TFLOPS.
A Networking Approach to Grid Computing by Daniel Minoli