Efficient WMaxMin Static Algorithm For Load Balancing In Cloud Computation

被引:0
作者
Khatavkar, Bharat [1 ]
Boopathy, Prabadevi [1 ]
机构
[1] VIT Univ SITE, Mtech IT Networking, Vellore, Tamil Nadu, India
来源
2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT) | 2017年
关键词
Cloud Computation; Cloudlets; Virtual Machine; Load Balancing Algorithm; data centres; Host; CloudSim; WMaxMin;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cloud Computing is the new emerging area which provides variety of deployment as well as service model such as SAAS, PAAS and IAAS and it is in rapid adoption by many vendors and companies which are growing in the fast rate. Most critical functionality in Cloud Computation is Load balancing because the data centers have n number of hosts and these host comprises of n number of virtual machines, so when tasks (cloudlets) comes it must be assigned to the virtual machines without overloaded and under loaded any of the VMs. There are many algorithms for load balancing in cloud but still the problem persists. Here the idea is to combine the Weighted Round Robin and Max Min algorithm to implement an efficient load balancing algorithm which is WeightedMaxMin by taking two consideration factors viz., waiting time and Response time. The simulation and implementation is through CloudSim.
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页数:6
相关论文
共 16 条
[1]  
AHDHULLAH SS, 2016, 2016 3 IEEE INT C, P2428
[2]  
[Anonymous], 2014, INT J SCI TECHNOL RE
[3]  
ARIHARAN V, 2015, 2015 IEEE INT C EL C, P1, DOI DOI 10.1109/ICECCT.2015.7226080
[4]   CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms [J].
Calheiros, Rodrigo N. ;
Ranjan, Rajiv ;
Beloglazov, Anton ;
De Rose, Cesar A. F. ;
Buyya, Rajkumar .
SOFTWARE-PRACTICE & EXPERIENCE, 2011, 41 (01) :23-50
[5]  
Dhurandher SK, 2014, IEEE ICC, P2921, DOI 10.1109/ICC.2014.6883768
[6]   An in-depth analysis and study of Load balancing techniques in the cloud computing environment [J].
Gopinath, Geethu P. P. ;
Vasudevan, Shriram K. .
BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 :427-432
[7]  
Mesbahi MR, 2016, 2016 SECOND INTERNATIONAL CONFERENCE ON WEB RESEARCH (ICWR), P145, DOI 10.1109/ICWR.2016.7498459
[8]  
Chien NK, 2016, INT CONF ADV COMMUN, P228, DOI 10.1109/ICACT.2016.7423340
[9]   Enhanced Load Balanced Min-Min algorithm for Static Meta Task Scheduling in Cloud Computing [J].
Patel, Gaurang ;
Mehta, Rutvik ;
Bhoi, Upendra .
3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015), 2015, 57 :545-553
[10]  
Ragmani A, 2016, 2016 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGIES AND APPLICATIONS (CLOUDTECH), P221, DOI 10.1109/CloudTech.2016.7847703