a Grid Computing System - Utopia

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“There is nothing more difficult to take in hand, more perilous to conduct, or more uncertain in its success than to take the lead in the introduction of a new order of things...but nothing is more thrilling.” Niccolo Machiavellii
Abstract ALiCE is a middleware that supports generic grid application development and deployment. It is build in Java using the Sun Microsystems JavaSpaces technology and it is designed with platform independence, scalability, modularity, performance and programmability in mind. The system that this document presents is build using the concepts from the previous version of ALiCE, developed at the National University of Singapore. This documents presents the design and the features in the ALiCE system. The need to re- design ALiCE raised from the actual requirements of a flexible and functional GRID computing middleware system, with an emphasis on scalability and modularity. Although the templates and programing templates that the programmer will use are mainly the same and the basic concepts are unchanged, hence the old application port will be easy, the new system is entirely rewritten from scratch. The design is much more scalable and very easy to build on, so future developments are possible with minimum effort. Also, the new design permits the support for non-Java applications. The means of communication in the new design are generic ones, involving live object freely moving through the system, which leave place for any kind of communication and synchronization inside the system and between the new ALiCE applications.
Page 1: a Grid Computing System Radu Niculi
Page 5 and 6: Contents 3.4. The Remote Object Loa
Page 7 and 8: Part I. Introduction 7
Page 9 and 10: 1. Introduction the network. In a g
Page 11 and 12: 1.2.5. SETI@home 1. Introduction SE
Page 13 and 14: 2. ALiCE Design Overview At this ti
Page 15 and 16: 2. ALiCE Design Overview can be plu
Page 17 and 18: 2. ALiCE Design Overview The system
Page 19 and 20: 3. The Basic Building Block - ONTA
Page 35 and 36: 4. ALiCE Architecture and Implement
Page 47 and 48: Result Retrieval Thread 1 Result Co
Page 51 and 52: faster than when using just one res
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4. ALiCE Architecture and Implement
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NO Task generator Execute task gene
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5. Example of ALiCE Applications 5.
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ALGORITHM ALiCE_TRACE(m, n) TASK_GE
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5. Example of ALiCE Applications Th
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6. Performance Testing Based on a s
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Platform: £ GigaSpace on ws21 £ R
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Platform: £ Resource Broker on ws0
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Platform: £ GigaSpace on ws21 £ R
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6. Performance Testing Analysis of
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6. Performance Testing The second g
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6. Performance Testing a certain lo
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7. Developing ALiCE Applications 7.
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7. Developing ALiCE Applications ge
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7. Developing ALiCE Applications Th
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7. Developing ALiCE Applications pu
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} } THE RESULT import java.io.¤ ;
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); } } MYRESULT.JAVA import java.io
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DUMMY.JAVA import java.io.¤ ; publ
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8. ALiCE Programming Templates wher
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§ 8. ALiCE Programming Templates T
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£ £ 9. Conclusions Implementing a
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Bibliography [10] Sarmenta, L.F.G.
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a Grid Computing System - Utopia

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