Concurrent programming: principles and practice
Concurrent programming: principles and practice
Distributed data structures in Linda
POPL '86 Proceedings of the 13th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
SETI@home: an experiment in public-resource computing
Communications of the ACM
Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Sabotage-Tolerance Mechanisms for Volunteer Computing Systems
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Improving Performance via Computational Replication on a Large-Scale Computational Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Iterative Grid-Based Computing Using Mobile Agents
ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
GridUnit: software testing on the grid
Proceedings of the 28th international conference on Software engineering
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Grid computing, which is characterized by large-scale sharing and collaboration of dynamic distributed resources has quickly become a mainstream technology in distributed computing and is changing the traditional way of software development. In this article, we present a grid-based software testing framework for unit and integration test, which takes advantage of the large-scale and cost-efficient computational grid resources to establish a testbed for supporting automated software test in complex software applications. Within this software testing framework, a dynamic bag-of-tasks model using swarm intelligence is developed to adaptively schedule unit test cases. Various high-confidence computing mechanisms, such as redundancy, intermediate value checks, verification code injection, and consistency checks are employed to verify the correctness of each test case execution on the grid. Grid workflow is used to coordinate various test units for integration test. Overall, we expect that the grid-based software testing framework can provide efficient and trustworthy services to significantly accelerate the testing process with large-scale software testing.