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A Brief Review of Load Balancing Issue in Cloud Computing Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 154 - Number 3 |
| Year of Publication: 2016 |
| Authors: Kapil Dangi, Nirmal Gaud |
10.5120/ijca2016912049
|
Kapil Dangi, Nirmal Gaud . A Brief Review of Load Balancing Issue in Cloud Computing Environment. International Journal of Computer Applications. 154, 3 ( Nov 2016), 16-20. DOI=10.5120/ijca2016912049
Abstract
The management of resources and request in cloud environment is big challenging task. The unbalanced scenario of resources and request raised situation of overloading and degraded the performance of cloud environment. Now a day’s various authors used load balancing technique for the improvement of the cloud environment. For the balancing of load used load policy on the basis of static and dynamic nature. The static load balancing technique used CPU scheduling algorithm such as a round robin, first come first serve and shortest job first. All these technique is not schedule job in proper manner and the performance of cloud is degraded. Instead of these technique dynamic balancing used heuristic based technique such as ant colony optimization, particle swarm optimization and many more swarm based algorithm. now a day some authors used probability and time quantum based scheduling technique for cloud environment. In this paper present the review of load balancing technique for cloud environment.
References
- Yasser Alharbi and Kun Yang “Optimizing jobs’ completion time in cloud systems during Virtual Machine Placement”, International Conference on Big Data and Smart City, 2016, Pp 1-6.
- Amir Nahir, Ariel Orda and Danny Raz “Replication-Based Load Balancing”, IEEE, 2016, Pp 494-507.
- AlakaAnanth and K. Chandrasekaran “Cooperative Game Theoretic Approach for Job Scheduling in Cloud Computing”, Computing and Network Communications, 2015, Pp 147-156.
- Matthew Malensek, SangmiPallickara, and ShrideepPallickara “Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments”, IEEE, 2016, Pp 19-27.
- Nguyen KhacChien, Nguyen Hong Son and Ho DacLoc “Load Balancing Algorithm Based on Estimating Finish Time of Services in Cloud Computing”, ICACT, 2016, Pp 228-233.
- Jing Tai Piao and Jun Yan “A Network-aware Virtual Machine Placement and Migration Approach in Cloud Computing”, IEEE, 2010, Pp 87-92.
- Kien Le, Jingru Zhang, JiandongMeng, Ricardo Bianchini, YogeshJaluria and Thu D. Nguyen “Reducing Electricity Cost Through Virtual Machine Placement in High Performance Computing Clouds”, ACM, 2011, Pp 1-12.
- KyongHoon Kim, Anton Beloglazov and RajkumarBuyya “Power-Aware Provisioning of Virtual Machines for Real-Time Cloud Services”, John Wiley & Sons, Ltd., 2011, Pp 1-19.
- Saurabh Kumar Garg, Adel NadjaranToosi, Srinivasa K. Gopalaiyengar and RajkumarBuyya “SLA-based virtual machine management for heterogeneous workloads in a cloud datacenter”, Journal of Network and Computer Applications, 2014, Pp 108-119.
- George Kousiouris, TommasoCucinotta and Theodora Varvarigou “The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks”, The Journal of Systems and Software, 2011, Pp 1270-1291.
- DeepalJayasinghe, CaltonPu, Tamar Eilam, MalgorzataSteinder, Ian Whalley and Ed Snible “Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-aware Virtual Machine Placement”, IEEE, 2011, Pp 72-79.
- SriramKailasam, Nathan Gnanasambandam, JanakiramDharanipragada and Naveen Sharma “Optimizing Service Level Agreements for Autonomic Cloud Bursting Schedulers”, Parallel Processing Workshops, 2010, Pp 285-294.
- ZeratulIzzahMohdYusoh and Maolin Tang “Composite SaaS Placement and Resource Optimization in Cloud Computing using Evolutionary Algorithms”, IEEE, 2012, Pp 590-597.
- Abhishek Gupta, Laxmikant V. Kale, DejanMilojicic, Paolo Faraboschi and Susanne M. Balle “HPC-Aware VM Placement in Infrastructure Clouds”, IEEE, 2013, Pp 11-20.
- YueGao, Yanzhi Wang, Sandeep K. Gupta and MassoudPedram “An Energy and Deadline Aware Resource Provisioning, Scheduling and Optimization Framework for Cloud Systems”, IEEE, 2013, Pp 1-10.
- Anton Beloglazov and RajkumarBuyya “Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Centers”, John Wiley & Sons, Ltd., 2011, Pp 1-24.
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