Phoenix: Making Data-Intensive Grid Applications Fault-Tolerant
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Fault-tolerant grid resource management infrastructure
Neural, Parallel & Scientific Computations - Special issue: Grid computing
A framework for reliable and efficient data placement in distributed computing systems
Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part I
A theory of nested speculative execution
COORDINATION'07 Proceedings of the 9th international conference on Coordination models and languages
Swift: A language for distributed parallel scripting
Parallel Computing
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Despite many competitors, Ethernet became the dominant protocol for local area networking due to its simplicity, robustness, and efficiency in wide variety of conditions and technologies. Reflecting on the current frailty of much software, grid and otherwise, we propose that the Ethernet approach to resource sharing is an effective and reliable technique for combining coarse-grained software when failures are common and poorly detailed. This approach involves placing several simple but important responsibilities on client software to acquire shared resources conservatively, to back off during periods of failure, and to inform competing clients when resources are in contention. We present a simple scripting language that simplifies and encourages the Ethernet approach, and demonstrate its use in several grid computing scenarios, including job submission, disk allocation, and data replication. We conclude with a discussion of the limitations of this approach, and describe how it is uniquely suited to high-level programming.