Enterprise Job Scheduling for Clustered Environments

Paulakis, S.; Tsetsos, Vassileios; Hadjiefthymiades, Stathes

doi:10.1109/isorc.2007.34

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Process Of Job Scheduler1

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2011

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“…For example, the nodes, A, B and C, have the weights, 5, 3, 2 respectively, a good scheduling sequence will be AABABCABAC in a scheduling period (mod sum (WI)). In the implementation of the weighted round-robin scheduling, a scheduling sequence will be generated according to the node weights after the rules of cluster are modified [11] . The jobs are directed to the different nodes based on the scheduling sequence in a round-robin manner.…”

Section: Process Of Job Schedulermentioning

confidence: 99%

Cluster Based Analysis of IPv6 Network Traffic

Bin

Liu

et al. 2011

2011 Second International Conference on Networking and Distributed Computing

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Classical IPv6 network traffic analysis system is built on one or more physical servers. It has low analysis efficiency, large process delay, and it could not reach the real-time demand. Cluster based IPv6 network traffic analysis system is composed of Front-analysis Node, Controller Node, Back-analysis Node and Data Warehouse Node. The functions of cluster-based analysis system are traffic collection, real-time analysis and off-line traffic analysis. Experimental results show that the Average Waiting Time (AWT) for jobs in case of Service Cluster is comparatively lesser with respect to Physical Server, and the Service Cluster shortens the service failover time by 89.8%.

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Section: Process Of Job Schedulermentioning

confidence: 99%