An Improved Task Allocation Strategy in Cloud using Modified K-means Clustering Technique

In the present era, cloud computing has earned much popularity, mainly because of its utilities and relevance with the current technological trends. It is an arrangement which is highly customizable and encapsulated for providing better computational services to its clients worldwide. In cloud compu...

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Veröffentlicht in:	Egyptian informatics journal Jg. 21; H. 4; S. 201 - 208
Hauptverfasser:	Sharma, Vrajesh, Bala, Manju
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2020 Elsevier
Schlagworte:	Categorization of Tasks Categorization of Virtual Machines Clustering Method Efficiency Improvement in Cloud Efficient Task Scheduling Strategies Four Credits based Scheduling High performance network virtualization Improving Makespan in Cloud Mapping Cloudlets to VMs Modified K-Means Multiple Credits Based Scheduling Priority Based Scheduling QoS Rearrangement of Jobs in Cloud Reducing Prediction Error in Cloud Computing Reduction in Total Computational Cost in Cloud Scheduling Algorithm in Cloud Scheduling Strategies in Cloud Computing Task Allocation Strategies Virtualization Efficient Task Scheduling Strategies High performance network virtualization Categorization of Tasks Reduction in Total Computational Cost in Cloud Scheduling Algorithm in Cloud Scheduling Strategies in Cloud Computing Modified K-Means Task Allocation Strategies Rearrangement of Jobs in Cloud Multiple Credits Based Scheduling Categorization of Virtual Machines QoS Reducing Prediction Error in Cloud Computing Improving Makespan in Cloud Priority Based Scheduling Four Credits based Scheduling Efficiency Improvement in Cloud Mapping Cloudlets to VMs Virtualization Clustering Method
ISSN:	1110-8665, 2090-4754
Online-Zugang:	Volltext
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