Grid Computing - GRID 2002

The growth of the Internet and the availability of powerful computers and hi- speed networks as low-cost commodity components are changing the way we do computing. These new technologies have enabled the clustering of a wide variety of geographically distributed resources, such as supercomputers, storage systems, data sources, and special devices and services, which can then be used as a uni?ed resource. Furthermore, they have enabled seamless access to and interaction among these distributed resources, services, applications, and data. The new paradigm that has evolved is popularly termed Grid computing. Grid computing and the utilization of the global Grid infrastructure have presented signi?cant challenges at all levels, including application development, progr- ming models, systems, infrastructures and services, networking, and security, and have led to the development of a global research community. Grid 2002 is the third in a series of workshops developed to provide a - rum for this growing Grid Computing research community. Grid 2000, the ?rst workshop in the series, was chaired by Rajkumar Buyya and Mark Baker, and was held in conjunction with HiPC 2002 in Bangalore, India. Grid 2001 (Chair: Craig A. Lee) and Grid 2002 were held in conjunction with Supercomputing, the world's premier meeting for high-performance computing.

Includes supplementary material: sn.pub/extras

Autorentext
Manish Parashar, PhD, is an associate professor in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey, where he is Director of The Applied Software Systems Laboratory (TASSL). Professor Parashar is a recipient of the NSF CAREER award and the Enrico Fermi scholarship, and is a senior member of the IEEE. In addition to publishing over a hundred technical papers in international journals and conferences, Professor Parashar has coauthored/edited three books, and has contributed to several others, in the area of parallel and distributed computing.

Inhalt
Applications and Frameworks.- Framework for Peer-to-Peer Distributed Computing in a Heterogeneous, Decentralized Environment.- Grid-Based Monte Carlo Application.- A Grid Service-Based Active Thermochemical Table Framework.- GridLab: Enabling Applications on the Grid.- Optimization and Performance.- Simulation of Dynamic Grid Replication Strategies in OptorSim.- Scheduling Independent Tasks with QoS Requirements in Grid Computing with Time-Varying Resource Prices.- A Theoretical Approach to Load Balancing of a Target Task in a Temporally and Spatially Heterogeneous Grid Computing Environment.- Source Code Transformations Strategies to Load-Balance Grid Applications.- Programming Models.- A Parallel CORBA Component Model for Numerical Code Coupling.- Meaning and Behaviour in Grid Oriented Components.- Trustless Grid Computing in ConCert.- Resource Discovery and Management.- A Unified Peer-to-Peer Database Framework for Scalable Service and Resource Discovery.- Grid Resource Discovery Based on a Routing-Transferring Model.- Resource Allocation for Steerable Parallel Parameter Searches.- Security and Policy Management.- An Authorization Framework for a Grid Based Component Architecture.- Supporting Secure Ad-hoc User Collaboration in Grid Environments.- XML-Based Policy Engine Framework for Usage Policy Management in Grids.- Fine-Grain Authorization for Resource Management in the Grid Environment.- Scheduling.- Adaptive Resource Scheduling for Network Services.- Enhanced Algorithms for Multi-site Scheduling.- Experiments with Scheduling Using Simulated Annealing in a Grid Environment.- Grid Infrastructure and Services.- A Policy Service for GRID Computing.- DYNAMO - DirectorY, Net Archiver and MOver.- GridRM: A Resource Monitoring Architecture for the Grid.- Overview of GridRPC: A Remote Procedure Call API for Grid Computing.- Data Services.- Distributed Query Processing on the Grid.- Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers.- Improving the Throughput of Remote Storage Access through Pipelining.