Near-Optimal Scheduling Based on Immune Algorithms in Distributed Environments

Istin, Mihai; Visan, Andreea; Pop, Florin; Dobre, Ciprian; Cristea, Valentin

doi:10.1109/cisis.2010.78

Cited by 6 publications

(2 citation statements)

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“…• Overall view: Most of the existing works [3][4] [10] aim to optimize job scheduling from the scope of improving individual participants' performance of grids and clouds without considering an overall performance view as [ye]. For providing an aggregated view of inter-cloud workloads it is required that the meta-scheduling will aim to an overall performance improvement rather than the individual nodes, or clouds.…”

Section: Modelling the Dynamic Metrics Of Inter-cloud Meta-schedulingmentioning

confidence: 99%

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Modelling Requirements for Enabling Meta-scheduling in Inter-Clouds and Inter-Enterprises

Bessis

Sotiriadis

Cristea

et al. 2011

2011 Third International Conference on Intelligent Networking and Collaborative Systems

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Cloud computing provides a promising paradigm for the deployment and utilization of online resources including hardware and software services by Internet users. In such an e-infrastructure environment, the scheduling of userdefined tasks is always considered as a complicated part of the overall system modelling. Specifically, in the case of interclouds and inter-enterprises scheduling optimization is fundamentally important for achieving the best possible capacity in terms of resource utilization. Thus, existing approaches that consider system dynamics, interoperability and heterogeneity issues become important aspects for providing advanced scheduling decisions. In this work, we survey some highly dynamic meta-schedulers that are suitable for enterprises using grids and/or clouds. Our intention is to elicit the characteristics and produce a model encompassing the architectural requirements that will enable high metascheduling performance in inter-cooperative e-infrastructures.

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Section: Modelling the Dynamic Metrics Of Inter-cloud Meta-schedulingmentioning

confidence: 99%

“…Among all these, the task of scheduling in the metacomputing has been proven to be the most complex [2] [10] mostly due to the involvement of a mixture of local resource management systems (LRMS). In addition, unforeseen situations, i.e.…”

Section: Introductionmentioning

confidence: 99%