An Research on the Effectiveness of the Different Algorithms and the Scheduling in Improving the Performance of Cloud Computing by using Cloud Analyst Simulator
Abdo H Guroob1, Arpana Shetty2, Manjaiah D. H.3
1Abdo H Guroob, Department of Computer Science and Engineering Bearys Institute of Technology, Mangalore, India.
2Arpana Shetty, Department of Computer Science and Engineering Bearys Institute of Technology, Mangalore, India.
3Manjaiah D. H., Department of Computer Science, Mangalore University, Mangalore, India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript Published on 26 July 2019 | PP: 1170-1176 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F12420486S419/19©BEIESP | DOI: 10.35940/ijitee.F1242.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing can be defined as a computing paradigm, where the various systems and large pool are connected to each other in private or public networks. The aim for that is to provide a dynamically scalable infrastructure, where it is used for applications, data and file storage. Cloud computing reduced the cost of computation and application hosting so that content storage and delivering services are handled faster and more flexibility. Load balancing is one of the challenges that affect the performance of cloud computing and the overcome it leads to better resource utilization and response time. The service broker policy plays an important role in accelerating the response time of customer requests by locating data centers or optimize the pattern of access to them. The contribution of this paper investigates the effectiveness of using the different algorithms and the approaches to improve the performance of cloud computing as it has been shown that there is a possibility to increase the performance of cloud computing by relying on certain criteria described in this paper. The results, which are presented in this paper were obtained using the cloud analyst simulator, where this simulator contains (Time duration, Load balancing algorithms, and Service Broker Algorithms, etc).
Keywords: Cloud Computing, Load Balancing Policy, Broker Policy, Cloud Analyst.
Scope of the Article: Computer Science and Its Applications