2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) 2017
DOI: 10.1109/isitia.2017.8124096
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Live migration based on cloud computing to increase load balancing

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Cited by 5 publications
(3 citation statements)
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“…Load balancing on cloud computing has attracted many researchers around the world and has also gained important achievements [1][2][3][4][5][6], [8][9][10][11]. Load balancing in communication is a very important factor in improving the performance of cloud data centers.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Load balancing on cloud computing has attracted many researchers around the world and has also gained important achievements [1][2][3][4][5][6], [8][9][10][11]. Load balancing in communication is a very important factor in improving the performance of cloud data centers.…”
Section: Related Workmentioning
confidence: 99%
“…To improve the availability and continuity of cloud computing [9], [11], the authors introduce a load balancing approach that reduces the response time and the cloud latency. By studying how to copy data from the source VM to the target VM where the source VM is faulty, the goal is to have users access information continuously.…”
Section: Related Workmentioning
confidence: 99%
“…The implementation of proposed algorithm has been done using cloud analyst and result is based on comparative analysis to evaluate the better result between the centralized and distributed data center. Randles et al (2010) Proposed load balancing approaches by Honeybee for aging No Yes behaviour based random sampling and active clustering Gulati and Chopra (2013) Presented a comparative survy of load balancing algorithms with Yes No respect to scalability and process migration Sidana et al (2016) Presented NBST algorithm for load balancing by sort speed of No No VMs and sort the length of the cloud Tang et al, (2016) Proposed DLBS load balance scheduling algorihm to balance No No stream through time slots Mishra et al (2017) Defined anovel load balancing approach to virtualized resources Yes No of the data center efficiently Omranian-Khorasani and Presented DCLB algorithm to refine deadline distribution for No Yes Naghibzadeh 2017lower communication cost Dhari and Arif (2017) Proposed te LDAB scheduling algorithm to implement load No No balancing to perform a task on each virtual machine Putra et al (2017) Defined load balancing approach reduces the response time Yes No and latency to copy data from the source VM to the target Background and challenges: Cloud computing is a new generation model to manipulate, construct and access for distributing different applications over the internet. In cloud computing, multiple systems are used to fulfill the user's requirements by using different resources.…”
Section: Introductionmentioning
confidence: 99%