By Daniel Minoli
Deriving the grid metaphor from the electrical community of cables and gear stations, grid computing is and extension of the concept that of "computer time sharing" within which the computing setting goals at allowing the choice, sharing, and aggregation of geographically allotted assets according to a number of concerns vital to optimizing computing assets. Aiming his quantity at company IT pros, Minoli (managing director, modern Networks included) synthesizes the country of the sphere, masking such themes as grid advantages; parts and architectures; criteria; deployment concerns and methods; grid approach economics; and conversation platforms for neighborhood, nationwide, and international grids.
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Additional resources for A Networking Approach to Grid Computing
Both disciplines take the same general approach to solving this problem, namely, the creation of overlay structures that coexist with, but need not correspond in structure to underlying organizational structures. Each discipline has made technical advances in recent years, but each also has, in current instantiations, a number of limitations: there are complementary aspects regarding the strengths and weaknesses of the two approaches that suggests that the interests of the two communities are likely to grow closer over time .
Note: in the bottom diagram, the hosts could be colocated or spread all over the world. When local hosts are aggregated in tightly coupled configurations, they tend to generally be of the cluster parallel-based computing type; such processors, however, can also be nonparallel-computing-based grids, for example, by running the Globus Toolkit. When geographically dispersed hosts are aggregated in distributed computing configurations, they tend to generally be of the grid computing type and not run in a clustered arrangement.
Present-day grids encompass the following types : ț Computational grids, in which machines with set-aside resources allocated to “number crunch” data or provide coverage for other intensive workloads ț Scavenging grids, commonly used to find and harvest machine cycles from idle servers and desktop computers for use in resource-intensive tasks (scavenging is usually implemented in a way that is unobtrusive to the owner/user of the processor) ț Data grids, which provide a unified interface for all data repositories in an organization, and through which data can be queried, managed, and secured As already noted, no claim is made herein that there is a single solution to a given problem; grid computing is one of the available solutions.
A Networking Approach to Grid Computing by Daniel Minoli