Virtual Machines' Load-Balancing in Inter-clouds

Abid, Mohamed Riduan; Kaddouri, Karima; Smith, Kevin; Ouadghiri, Moulay Idriss El; Gerndt, Michael

doi:10.1109/w-ficloud.2016.35

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Resource Monitoring1

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2018

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“…The proposed monitoring technique is used to monitor the RAM size of each virtual machine. The result of monitoring technique will provide only high RAM size VMs [14]. Finally, high preference task will be easily scheduled to high RAM size virtual machine.…”

Section: Resource Monitoringmentioning

confidence: 99%

A Preference-Based Supervising of Virtual Machines in Cloud Environment

Ezhilarasi¹,

Padmakumari²,

Umamakeswari³

2018

IJET

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Cloud Computing is a well-known technology in today's world. A large number of users are benefited from the cloud services. The cloud computing must provide efficient service on time for customer satisfaction. So, prominent resource monitoring and scheduling techniques are needed. To achieve the customer satisfaction and to reduce the communication overhead, a method called Resource Supervisor (RS) is proposed. The proposed algorithm assigns the preference for the tasks having highest length, monitor the status of the resource and schedule the tasks to various resources quickly. The proposed method is implemented using Cloud Simulator, and experimental results are validated by comparing RS method with existing algorithms, which provides better outcomes and reduces the communication overhead.

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Section: Resource Monitoringmentioning

confidence: 99%