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vGrid: A Framework For Building Autonomic Applications (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Salim, Bithika Khargharia Hariri, Salim Parashar, Manish Ntaimo, Lewis Kim, Byoung Uk |
| Description | With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolved with the potential of seamless aggregation, integration and interactions. This has made it possible to conceive a new generation of realistic, scientific and engineering simulations of complex physical phenomenon. These applications will symbiotically and opportunistically combine computations, experiments, observations, and real-time data, and will provide important insights into complex phenomena. However, the phenomena being modeled are inherently complex, multi-phased, multi-scaled, dynamic and heterogeneous (in time space and state). Furthermore, their implementations involve multiple researchers with scores of models, hundreds of components and dynamic compositions and interactions between these components. The underlying Grid infrastructure is similarly heterogeneous and dynamic, globally aggregating large numbers of independent computing and communication resources, data stores and sensor networks. The combination of the two results in application development, configuration and management complexities that break current paradigms that are based on passive components and static compositions. In fact, we have reached a level of complexity, heterogeneity, and dynamism that our programming environments and infrastructure are becoming unmanageable/insecure [3]. |
| File Format | |
| Language | English |
| Publisher | Computer Society Press |
| Publisher Date | 2003-01-01 |
| Publisher Institution | International Workshop on Challenges for Large Applications in Distributed Environments (CLADE 2003 |
| Access Restriction | Open |
| Subject Keyword | Rapid Technological Advance Static Composition Application Development Complex Physical Phenomenon Network Infrastructure Passive Component Engineering Simulation Important Insight Programming Environment Complex Phenomenon Unmanageable Insecure Combine Computation New Generation Computational Grid Building Autonomic Application Dynamic Composition Management Complexity Underlying Grid Infrastructure Time Space Large Number Data Store Seamless Aggregation Sensor Network Independent Computing Communication Resource Current Paradigm Compatible Component Interface Multiple Researcher Real-time Data |
| Content Type | Text |
| Resource Type | Article |
