A Brief Review of Various Optimization Techniques for Task Scheduling In Cloud |
Author(s): |
| Reema Handa , SSGI, Yamuna Nagar (Haryana), India; Amit Sehgal, SSGI, Yamuna Nagar (Haryana), India |
Keywords: |
| Self Organizing Map (SOM),Virtual Machine (VM),Software-as-a-Service(SaaS), Enhanced Load Balanced Min-Min Algorithm (ELBMM), Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems (Eucalyptus), Infrastructure-as-Service(IaaS),Platform-as-a-Service(PaaS) |
Abstract |
|
Now a days Cloud computing is most Popular for providing hosting and various services. Due To Cloud Computing Organizations focus on their core businesses instead of spend time and money on computer infrastructure. It Provide Many facilities to their users’ like space for storage data, sharing data between different equipment’s and pay as used and on demand. Task Scheduling is done by scheduler on cloud many VMs are running parallel so that each user gets resources effectively and no system overloaded with processes or no system sits idle. This paper analyze various Techniques implemented on Cloud Computing to manage tasks and scheduled tasks by applying different algorithms in terms of their make span, their techniques and findings as well. |
Other Details |
|
Paper ID: IJSRDV5I10829 Published in: Volume : 5, Issue : 1 Publication Date: 01/04/2017 Page(s): 1515-1520 |
Article Preview |
|
|
|
|
