Palanisamy et al., 2011 - Google Patents
Purlieus: locality-aware resource allocation for MapReduce in a cloudPalanisamy et al., 2011
View PDF- Document ID
- 356998927603479585
- Author
- Palanisamy B
- Singh A
- Liu L
- Jain B
- Publication year
- Publication venue
- Proceedings of 2011 international conference for high performance computing, networking, storage and analysis
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Snippet
We present Purlieus, a MapReduce resource allocation system aimed at enhancing the performance of MapReduce jobs in the cloud. Purlieus provisions virtual MapReduce clusters in a locality-aware manner enabling MapReduce virtual machines (VMs) access to …
- 238000011156 evaluation 0 abstract description 6
Classifications
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- 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
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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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- G06F9/455—Emulation; Software simulation, i.e. virtualisation or emulation of application or operating system execution engines
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- G06F3/06—Digital input from or digital output to record carriers, e.g. RAID, emulated record carriers, networked record carriers
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