Introduction to Grid Computing
In today's pervasive world of needing information anytime and anywhere, the explosive Grid Computing environments have now proven to be so significant that they are often referred to as being the world's single and most powerful computer solutions.. As a matter of fact the complexity and dynamic nature of industrial problems in today's world are much more intensive to satisfy by the more traditional, single computational platform approaches. Grid computing enables the virtualization of distributed computing and data resources such as processing, network bandwidth and storage capacity to create a single system image, granting users and applications seamless access to vast IT capabilities. Just as an Internet user views a unified instance of content via the Web, a grid user essentially sees a single, large virtual computer.
Grid computing is concerned with "coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations." The key concept is the ability to negotiate resource-sharing- arrangements among a set of participating parties (providers and consumers) and then to use thee resulting resource pool for some purpose..
At its core, grid computing is based on an open set of standards and protocols - e.g., Open Grid Services Architecture (OGSA) - that enable communication across heterogeneous, geographically dispersed environments. With grid computing organizations can optimize computing and data resources, pool them for large capacity workloads, share them across networks and enable collaboration.
GRID COMPUTING
Computational Grid is a collection of distributed, possibly heterogeneous resources which can be used as an ensemble to execute large-scale applications
"Grid" computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation. In this article, we define this new field.
Grid computing is a very hot topic these days. Many major IT vendors are promoting and announcing "grid," "on-demand," "adaptive infrastructure" or some closely related initiative. It's likely the buzz will only increase as these firms reorient themselves to this emerging market.
Though it may seem to be yet another "next big thing," grid computing is in fact. bringing real benefits to commercial enterprises. That's why enterprises and the software vendors that serve the analytics/business intelligence (BI) sectors are now partnering with the 'technology specialists in this space - or pushing initiatives of their own. It's particularly relevant in today hyper-competitive yet cost constrained times when companies truly do need to do more with less.
A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities. "
grid computing is based on the concept of coordinated shared use of computers grid computing is a way to create a virtual supercomputer by connecting large numbers of pcs in different locations over a shared network grid computing is applying the resources of many computers in a network to a single problem at the same time.
Grid computing is concerned with "coordinated resource sharing and problem solving in dynamic; multi-institutional virtual organizations." The key concept is the ability to negotiate resource-sharing arrangements among a set of participating parties (providers and consumers) and then to use the resulting resource pool for some purpose. We noted: "The sharing that we are concerned with is not primarily file exchange but rather direct access to computers, software, data, and other resources, as is required by a range of collaborative problem-solving and resource-brokering strategies emerging in industry, science, and engineering. This sharing is, necessarily, highly controlled, with resource providers and consumers defining clearly and carefully just what is shared, who is allowed to share, and the conditions under which sharing occurs. A set of individuals and/or institutions defined by such sharing rules form what we call a virtual organization."
A Grid Checklist I suggest that the essence of the definitions above can be captured in a simple checklist, according to which a Grid is a system that:
1. coordinates resources that are NOT subject to centralized control
2. uses standard, open, general purpose protocols and interfaces
3. delivers non-trivial qualities of service
Expansion:
• Coordinates resources that are not subject to centralized control - (A Grid integrates and coordinates resources and users that live within different control domains for example, the user's desktop vs. central computing; different administrative units of the same company; or different companies; and addresses the issues of security, policy, payment, membership, and so forth that arise in these settings. Otherwise, we are dealing with a local management system.).
• Using standard, open, general-purpose protocols and interfaces - (A Grid is built from multi-purpose protocols and interfaces that address such fundamental issues as authentication, authorization, resource discovery, and resource access. As I discuss further below, it is important that these protocols and interfaces be standard and open. Otherwise, we are dealing with an application-specific system.).
• To deliver nontrivial qualities of service - (A Grid allows its constituent resources to be used in a coordinated fashion to deliver various qualities of service, relating for example to response time, throughput, availability, and security, and/or co¬-allocation of multiple resource types to meet complex user demands, so that the 'utility of the combined system is significantly greater than that of the sum of its parts.)
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In today's pervasive world of needing information anytime and anywhere, the explosive Grid Computing environments have now proven to be so significant that they are often referred to as being the world's single and most powerful computer solutions.. As a matter of fact the complexity and dynamic nature of industrial problems in today's world are much more intensive to satisfy by the more traditional, single computational platform approaches. Grid computing enables the virtualization of distributed computing and data resources such as processing, network bandwidth and storage capacity to create a single system image, granting users and applications seamless access to vast IT capabilities. Just as an Internet user views a unified instance of content via the Web, a grid user essentially sees a single, large virtual computer.
Grid computing is concerned with "coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations." The key concept is the ability to negotiate resource-sharing- arrangements among a set of participating parties (providers and consumers) and then to use thee resulting resource pool for some purpose..
At its core, grid computing is based on an open set of standards and protocols - e.g., Open Grid Services Architecture (OGSA) - that enable communication across heterogeneous, geographically dispersed environments. With grid computing organizations can optimize computing and data resources, pool them for large capacity workloads, share them across networks and enable collaboration.
GRID COMPUTING
Computational Grid is a collection of distributed, possibly heterogeneous resources which can be used as an ensemble to execute large-scale applications
"Grid" computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation. In this article, we define this new field.
Grid computing is a very hot topic these days. Many major IT vendors are promoting and announcing "grid," "on-demand," "adaptive infrastructure" or some closely related initiative. It's likely the buzz will only increase as these firms reorient themselves to this emerging market.
Though it may seem to be yet another "next big thing," grid computing is in fact. bringing real benefits to commercial enterprises. That's why enterprises and the software vendors that serve the analytics/business intelligence (BI) sectors are now partnering with the 'technology specialists in this space - or pushing initiatives of their own. It's particularly relevant in today hyper-competitive yet cost constrained times when companies truly do need to do more with less.
A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities. "
grid computing is based on the concept of coordinated shared use of computers grid computing is a way to create a virtual supercomputer by connecting large numbers of pcs in different locations over a shared network grid computing is applying the resources of many computers in a network to a single problem at the same time.
Grid computing is concerned with "coordinated resource sharing and problem solving in dynamic; multi-institutional virtual organizations." The key concept is the ability to negotiate resource-sharing arrangements among a set of participating parties (providers and consumers) and then to use the resulting resource pool for some purpose. We noted: "The sharing that we are concerned with is not primarily file exchange but rather direct access to computers, software, data, and other resources, as is required by a range of collaborative problem-solving and resource-brokering strategies emerging in industry, science, and engineering. This sharing is, necessarily, highly controlled, with resource providers and consumers defining clearly and carefully just what is shared, who is allowed to share, and the conditions under which sharing occurs. A set of individuals and/or institutions defined by such sharing rules form what we call a virtual organization."
A Grid Checklist I suggest that the essence of the definitions above can be captured in a simple checklist, according to which a Grid is a system that:
1. coordinates resources that are NOT subject to centralized control
2. uses standard, open, general purpose protocols and interfaces
3. delivers non-trivial qualities of service
Expansion:
• Coordinates resources that are not subject to centralized control - (A Grid integrates and coordinates resources and users that live within different control domains for example, the user's desktop vs. central computing; different administrative units of the same company; or different companies; and addresses the issues of security, policy, payment, membership, and so forth that arise in these settings. Otherwise, we are dealing with a local management system.).
• Using standard, open, general-purpose protocols and interfaces - (A Grid is built from multi-purpose protocols and interfaces that address such fundamental issues as authentication, authorization, resource discovery, and resource access. As I discuss further below, it is important that these protocols and interfaces be standard and open. Otherwise, we are dealing with an application-specific system.).
• To deliver nontrivial qualities of service - (A Grid allows its constituent resources to be used in a coordinated fashion to deliver various qualities of service, relating for example to response time, throughput, availability, and security, and/or co¬-allocation of multiple resource types to meet complex user demands, so that the 'utility of the combined system is significantly greater than that of the sum of its parts.)
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