Algorithmic skeletons: structured management of parallel computation
Algorithmic skeletons: structured management of parallel computation
Pattern-oriented software architecture: a system of patterns
Pattern-oriented software architecture: a system of patterns
Efficient load balancing for wide-area divide-and-conquer applications
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
Advanced eager scheduling for Java-based adaptively parallel computing
JGI '02 Proceedings of the 2002 joint ACM-ISCOPE conference on Java Grande
Scheduling in a Grid Computing Environment Using Genetic Algorithms
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
A component-based approach to build a portable and flexible middleware for metacomputing
Parallel Computing - Special issue: Advanced environments for parallel and distributed computing
An Enabling Framework for Master-Worker Applications on the Computational Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Programming Metasystems with Active Objects
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
An advanced environment supporting structured parallel programming in Java
Future Generation Computer Systems - Tools for program development and analysis
MPICH-G2: a Grid-enabled implementation of the Message Passing Interface
Journal of Parallel and Distributed Computing - Special issue on computational grids
Scheduling Strategies for Master-Slave Tasking on Heterogeneous Processor Platforms
IEEE Transactions on Parallel and Distributed Systems
An economy-driven mapping heuristic for hierarchical master-slave applications in grid systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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The use of grid computing to easily and efficiently execute data and compute-intensive applications strongly depends on new software development approaches able to separate application-domain aspects from nonfunctional ones, such as task mapping and deployment. In this paper, we present an object-oriented framework that is able to transparently transform nondistributed programs into hierarchical master-slave ones, and to map and schedule them onto a grid computing system. Moreover, the framework is able to leverage services delivered by the underlying middleware platform, such as resource management and communication, to satisfy user requirements. The paper presents the framework architecture, a reflection-based implementation and its evaluation atop of a hierarchical grid middleware.