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. [...]
[...] The Grid protocols should be flexible enough to deal with many resource type scale large numbers of resources with many users and many program components. More important, it should do all the above in an efficient and cost effective manner. In addition to the grid protocols that have to be defined, a set of grid application programming interfaces (API) and software development toolkits (SDK) need to be defined. They provide interfaces to the grid protocols and services as well as facilitate the application development by supplying higher level abstraction not map one to one onto service functions and may combine services and protocols at lower levels in the grid protocol stack. [...]
[...] The following broader definition of grid computing serves the purpose of the defining it, “Grid computing enables virtual organizations to share geographically distributed resources as they pursue common goal, assuming the absence of central location, central control, omniscience and existing trust relationship”. Virtual organizations can span from small corporate departments that are in the same physical location to large group of people from different organizations that are spread out across the globe. Virtual organizations can be large or small, static or dynamic. [...]
[...] The client may also receive the results of the job once its execution is complete GRID COMPUTING A Grid is a coordinated distributed computing infrastructure formed by combining heterogeneous resources from autonomous administrative domains, as an ensemble to support large-scale, resource-intensive, and distributed applications. The resources in a Grid are shared via standard mechanisms based on local site policies along with a coordinated global grid policy. The combined distributed heterogeneous resources from the administrative domains create a logical resource namespace that could be used as a utility based on local and global grid policies. [...]
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