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Growth of distributed systems using grid computing and softer aspects of E science

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  1. Abstract
  2. Introduction
  3. Grid computing
    1. what's grid computing?
    2. Grid computing model
  4. E-science: The softer aspects of the grid
    1. The current work in e-science
    2. Approaching e-science from a semiotic perspective
    3. Challenges to emerge from escience
  5. Conclusion
  6. Refrences

Grid computing and eScience are two major areas of growth of distributed systems. The grid concept refers to the virtualization of computing resources in the sense that end-users should have the illusion of using a single source of computing power without knowing the locality of the computation. Examples of this virtualization are the use of digital certificates to access systems on behalf of the user, third party file transfer between machines authenticated via certificates, client tools for workflow composition with the workflow being consigned by agents such as brokers. eScience is allied to the grid concept, it refers to new methods of utilizing grid and other forms of distributed computation with a particular emphasis on collaborative working by geographically distributed teams. This paper aims to: explain the concept of eScience and its importance in future problem solving IT infrastructure, explain the concept of grid computing and its relation to eScience. it also familiarize with the key abstractions underpinning the grid concepts; outline current grid solutions and how they are intended to evolve. Keywords: Grid Computing, Intra-grid, Inter-grid, eScience, softer

[...] The application services available in the Grid will be described using the framework in terms of functions, abilities and constraints. All information/data sources in the Grid will also be described in terms of e.g. contents, usage agreements, and conditions of use. Finally, the framework will also be used to describe the behavior of the portal itself. The framework enables us to specify the semantic, pragmatic and social properties and constraints imposed on those entities. Validation and application of the framework will be realized through a series of Action Research for producing and populating these models through observing eScientists' practices and by working with them. [...]

[...] The service can be accessed by programmers through a set of application programming interfaces and software development toolkits that have been defined for each layer E-SCIENCE: THE SOFTER ASPECTS OF THE GRID ?Currently most studies focus on the e-Science infrastructure behind the socket on the wall. However this infrastructure will not be used unless it fits in with the working environment of the eScientists?. Once the infrastructure is in place, constraints on utilizing the Grid more effectively may arise from the aspects, which have not been paid much attention and are not easy to be incorporated into the Grid. [...]

[...] Now, however, a combination of technology trends and research advances make it feasible to realize the grid vision to put in place a new international scientific infrastructure with tools that together transform the practice of science and engineering. Third generation systems are adopting a service-oriented approach, adopt a more holistic view of the e-Science infrastructure, are metadata-enabled and may exhibit autonomic features REFRENCES Ahman Abbas, ?GRID COMPUTING: A Practical Guide to Technology and Application?, Pearson Education Asia, New Delhi 2005, ISBN 81-7008-340-0. [...]

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