Grid Computing
Grid Designing
Abstract: In an increasing number of scientific disciplines, large data collections are emerging as important community resources. 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. The foundation of a grid solution design is typically built upon an existing infrastructure investment. However, a grid solution does not come to fruition by simply installing software to allocate resources on demand. The grid solutions are adaptable to meet the needs of various business problems only because differing types of grids are designed to meet specific usage requirements and constraints. Different topologies are designed to meet varying geographical constraints and network connectivity requirements. The success of a grid solution is heavily dependant on the amount of thought the IT architect puts into the solution design. Harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. . In this paper, we discuss designing of grid along with underlying topologies and models that allow for grid computing to work.
Keyword: Virtual organization (VO), Globus tool kit, Grid Security
Infrastructure (GSI).
1 Introduction to grid computing
A grid is a collection of machines, sometimes referred to as nodes, resources, members, donors, clients, hosts, engines, and many other such terms. They all contribute any combination of resources to the grid as a whole. Grid computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by
Abstract: In an increasing number of scientific disciplines, large data collections are emerging as important community resources. 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. The foundation of a grid solution design is typically built upon an existing infrastructure investment. However, a grid solution does not come to fruition by simply installing software to allocate resources on demand. The grid solutions are adaptable to meet the needs of various business problems only because differing types of grids are designed to meet specific usage requirements and constraints. Different topologies are designed to meet varying geographical constraints and network connectivity requirements. The success of a grid solution is heavily dependant on the amount of thought the IT architect puts into the solution design. Harnessing these new technologies effectively will transform scientific disciplines ranging from high-energy physics to the life sciences. . In this paper, we discuss designing of grid along with underlying topologies and models that allow for grid computing to work.
Keyword: Virtual organization (VO), Globus tool kit, Grid Security
Infrastructure (GSI).
1 Introduction to grid computing
A grid is a collection of machines, sometimes referred to as nodes, resources, members, donors, clients, hosts, engines, and many other such terms. They all contribute any combination of resources to the grid as a whole. Grid computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by
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