Energy Aware Virtual Machine Migration Techniques for Cloud Environment

Gupta, Kamali; Katiyar, Vijay

doi:10.5120/ijca2016909551

Cited by 9 publications

(14 citation statements)

References 18 publications

(8 reference statements)

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“…Organizations will be required to change their mindset and will need to be able to pull multiple data-streams together across multiple cloud environments into combined high-quality in-sights. Usage of cloud will be determined on the basis of ensuring that the data is stored in a controlled, managed, compliant environment [13]. This change will further contribute to future businesses that can use data stored in the cloud to provide predictive analytics for the business -such as predicting load requirements for peak shopping days, or market fluctuations to prepare investors [13].…”

Section: Latest Trends In Cloud Computingmentioning

confidence: 99%

Cloud Computing Recent Trends And Emerging Technologies

Gupta¹,

Gupta²,

Gupta³

2020

Preprint

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With invent of IoT technologies, it is easier to connect people residing at geographically distant locations for information exchange. The ease in sharing of data across global boundaries has led to increased mooring of traffic for extracting services that are IT based. This has presented challenges before providers of these services to cope up with user expectations. Therefore, with emergence of cloud in the market, the models of fog and edge computing necessitates delivery of solutions that can cater heterogeneous user needs without constraints of latency and time-sensitive service delivery. It becomes imperative in such a scenario to offer viable solutions in the direction of provisioning security mechanisms to put a constraint on unauthorized user access to such services. Hence, technologies like multi-access edge computing (MEC) and cloudlet plays a vital role in comprehending security critical solutions. Therefore, the focus of this paper has been directed to discuss such emerging technologies pertaining to implementations in cloud that are capable of increasing confidence of user in distributed paradigm.

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Section: Latest Trends In Cloud Computingmentioning

confidence: 99%

Cloud Computing Recent Trends And Emerging Technologies

Gupta¹,

Gupta²,

Gupta³

2020

Preprint

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“…The placement of migrated VMs for SC was performed through assigning priority levels to the candidate PMs in [35]. The PMs which consume low power were given higher priority.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Model for Load Balancing and Server Consolidation in Cloud

Megharaj¹,

Kabadi²

2019

IJIES

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One of the most pressing and critical issues in cloud is Power Optimization. Due to the popularity of cloud, many computing applications are being hosted in the cloud. Naturally, many Cloud Centers (CCs) are experiencing huge power consumption problem, which leads to higher operational cost and environmental hazards due to carbon emissions. The two important concepts used to achieve power optimization are: load balancing and server consolidation. The first concept aims to achieve fair distribution of computing load on different Physical Machine (PM); whereas, the second concept aims to shutdown PMs, which are having limited computational load. One of the most popular techniques to achieve load balancing and server consolidation is Virtual Machine (VM) migration technique; where, the VMs are packed inside limited PMs; such that, load is fairly balanced among PMs, and limited usage PMs are relieved of their computational load and can be shutdown. However, VM migration requires excessive cost, and results in excessive computed task wastage. Hence, in this work, a new hybrid scheme which does not migrate VMs, and migrates only suitable tasks from overloaded VMs and lightly loaded PMs is presented. The proposed hybrid model is compared against contemporary VM migration technique to assess resource usage merits. The proposed hybrid model significantly outperforms the contemporary VM migration techniques in resource usage efficiency.

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“…Most virtual machine migration algorithms may be considered reactive, they are typically spawned by the loss of QoS or power efficiency and do not analyze any historical data (pMapper [62] seems to be a special, very complex example). One of the typical strategies used to allocate virtual machines to servers is best fit decreasing (BFD) [66], which starts with VMs sorted in the descending order of the demanded resources and assigns them to the server having the minimum computing capacity. Power and computation capacity BFD (PCA-BFD) is a mutation of this method, and it computes the servers' power consumption to computing capacity ratio to take into account power efficiency as well.…”

Section: Reactive Allocation Strategiesmentioning

confidence: 99%

“…Similarly, low perturbation bin packing (LPBP) attempts to migrate VMs from the most power consuming server to the one with the lowest power demand. The variation of the method proposed in [66] differs in terms of the sorting order: it starts from the least demanding VM and allocates it to the server with the lowest power consumption. Similar strategies are described in [67], the most trivial being first fit (FF), in which the task is assigned to the first machine with sufficient capacity.…”

Section: Reactive Allocation Strategiesmentioning

confidence: 99%

Energy Aware Data Centers and Networks: a Survey

Arabas

2018

JTIT

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The past years have brought about a great variety of clusters and clouds. This, combined with their increasing size and complexity, has resulted in an obvious need for power-saving control mechanisms. Upon presenting a basis on which such solutions - namely low-level power control interfaces, CPU governors and network topologies – are constructed, the paper summarizes network and cluster resources control algorithms. Finally, the need for integrated, hierarchical control is expressed, and speciﬁc examples are provided.

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Energy Aware Virtual Machine Migration Techniques for Cloud Environment

Cited by 9 publications

References 18 publications

Cloud Computing Recent Trends And Emerging Technologies

Cloud Computing Recent Trends And Emerging Technologies

Hybrid Model for Load Balancing and Server Consolidation in Cloud

Energy Aware Data Centers and Networks: a Survey

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