A Networking Approach to Grid Computing by Daniel Minoli

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" during which the computing setting goals at permitting the choice, sharing, and aggregation of geographically disbursed assets according to 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 subject matters as grid advantages; parts and architectures; criteria; deployment matters and methods; grid approach economics; and communique structures for neighborhood, nationwide, and international grids.

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Middleware such as Globus [107], Legion [108], and UNICORE (UNiform Interface to Computer Resources) [109] provide software infrastructure to handle various challenges of computational and data grids [106]. 3 depicts the utility-oriented implementation of a computational grid. This concept is analogous to an electric power network (grid) in which power generators are distributed but the users are able to access electric power without concerning themselves about the source of energy and its pedestrian operational management [110].

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 [123]. 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.

Virtualization can span the following domains [162]: 1. Server virtualization for horizontally and vertically scaled server environments. Server virtualization enables optimized utilization, improved service levels, and reduced management overhead. 2. Network virtualization, enabled by intelligent routers, switches, and other networking elements supporting virtual LANs. Virtualized networks are more secure and more able to support unforeseen spikes in customer and user demand. 3. Storage virtualization (server, network, and array-based).

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A Networking Approach to Grid Computing by Daniel Minoli
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