Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing

Cao, Zhibo; Dong, Shoubin

doi:10.1109/pdcat.2012.68

Cited by 54 publications

(26 citation statements)

References 11 publications

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“…But those algorithms have failed to get short SLA violation period in each active host and small VMs migrations in virtualized data centers. To solve these problem, they design a novel method for overloaded host and PABFD method for VM placement Cao, Z et.al [13] proposed a method for over utilized host and selection in dynamic VM consolidation. They introduce use Table I summarized different techniques that used for virtual machine consolidation.…”

Section: Related Workmentioning

confidence: 99%

Workload Consolidation using VM Selection and Placement Techniques in Cloud Computing

Patel¹,

Patel²,

Patel³

2016

IJCA

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Cloud computing provides a consumer pay-per-use computing model over the Internet using numerous data centers across the globe. Power consumption by the huge data centers in Cloud environment has attracted the attention of research community. Efficient usage of energy in Cloud can be addressed in many facets. Virtual Machine (VM) consolidation is one of the techniques to save or reduce energy in virtualized data centers. VM Migration in Cloud also provides us an opportunity for reducing energy consumption. In this research, we intend to study various VM placements & selection policies and VM migration algorithms for underloaded and overloaded hosts to reduce energy consumption and SLA violation. We propose a novel method using combination of two methods, Least Increase Power (LIP) consumption with Host Sort and Minimum Correlation Coefficient (MCC) for consolidation of VM placement, placing a migratable VM on a host based on utilization thresholds. The results show performance of each combination of algorithms varies with the changing value of the parameters brings better in terms of energy consumption, VM migration time and SLA violation. The reader may plunge the appropriate method for energy consumption.

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Section: Related Workmentioning

confidence: 99%

Workload Consolidation using VM Selection and Placement Techniques in Cloud Computing

Patel¹,

Patel²,

Patel³

2016

IJCA

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“…Zhibo Cao et al [14] propose a novel allocation and selection policies for dynamic virtual machine consolidation in virtualized data center to reduce energy consumption and SLA violation. They uses the mean and standard deviation of CPU utilization for VM to determine the hosts overloaded or not, then use the positive maximum correlation coefficient to select VMs from those overloading host for migration.…”

Section: Related Workmentioning

confidence: 99%

I Q R based Approach for Energy Efficient Dynamic VM Consolidation for Green Cloud Data Centers

Shukla¹,

Pateriya²

2015

IJCA

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With the advent of cloud computing in the arena of IT field energy consumption and service level agreement (SLA) violation emerge as a major problem, which reduces the profit of cloud service providers (CSP) and affect the cloud customers by fencing the reusability and scalability of the cloud data center services. This problem needs to be eradicate for the efficient resource provisioning in cloud data center. To satisfy the customer need virtual machine (VM) migration technique is required to balance the load of entire data center. Therefore we need to transfer the virtual machine of the overloaded host to the light weighted host using virtual machine migration technique. Due to frequent load balancing of cloud data center enormous amount of energy consumption takes place. This enhances the overall energy cost and degrades the performance of cloud data center. This paper proposes an Energy Efficient Dynamic VM Consolidation algorithm for reducing energy consumption.

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“…In [3] A novel allocation and selection policy for the dynamic virtual machine (VM) consolidation in virtualized data centers to reduce energy consumption and SLA violation. Firstly, it detect overloading hosts in virtual environments and then apply a method to select VMs from those overloading hosts for migration.VM Provisioning Method to Improve the Profit and SLA Violation of Cloud Service Providers.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey on VM Migration and Green Cloud Computing

Patidar¹,

Vashishtha²

2015

IJCA

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Cloud computing has become a part of everyone's life now. So researchers have immense interest in cloud performance and security. For security and to provide single system image so that user gets an illusion that everything is stored at his own system cloud uses concept of virtualization. For that different virtual machines (VMs) runs on same or different servers. These VMs can be migrated from one server to another. VM migration and power consumption on cloud has been a trending area of research. In this paper a survey in done on VM migration techniques with keeping power consumption in mind. So in this paper green algorithm for VM migration are discussed.

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Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing

Cited by 54 publications

References 11 publications

Workload Consolidation using VM Selection and Placement Techniques in Cloud Computing

Workload Consolidation using VM Selection and Placement Techniques in Cloud Computing

I Q R based Approach for Energy Efficient Dynamic VM Consolidation for Green Cloud Data Centers

A Survey on VM Migration and Green Cloud Computing

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