Ruan et al., 2012 - Google Patents
Hymr: a hybrid mapreduce workflow systemRuan et al., 2012
View PDF- Document ID
- 2011494543401806287
- Author
- Ruan Y
- Guo Z
- Zhou Y
- Qiu J
- Fox G
- Publication year
- Publication venue
- Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences
External Links
Snippet
Many distributed computing models have been developed for high performance processing of large scale scientific data. Among them, MapReduce is a popular and widely used fine grain parallel runtime. Workflows integrate and coordinate distributed and heterogeneous …
- 241001589086 Bellapiscis medius 0 description 107
Classifications
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- G06F9/46—Multiprogramming arrangements
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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- G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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- G06Q10/00—Administration; Management
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