Performance Analysis of Multi Scale Applications on Cloud Systems
Vijaya Kumbhar1, Ajay H. Kumar2
1Vijaya Kumbhar, Assistant Professor in Indira College of Commerce and Science , Pune ,India.
2Ajay H. Kumar, Research Guide in Computer Science Department, Savitribai Phule Pune University.

Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 11915-11921 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9765118419/2019©BEIESP | DOI: 10.35940/ijrte.D9765.118419

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Abstract: Cloud Computing is the most adoptable technology in use recently where bigger and complex applications are deployed and used on cloud server. Multi scaled applications are such applications which have multiple attributes (data size, number of requests, number of concurrent users etc.) that can cause to poor performance of its application service. For better performance, it needs to be measured, analyzed and optimized using tools, strategies or algorithms. The multi scale application’s performance is measured at end user level, network level and data center level. In this paper, the focus is measuring the performance of multi scale applications in terms of response time and throughput using CloudAnalyst simulator. Multiple scenarioslike varying data size,varying number of concurrent users and varying number of requests are simulated for multiscale application and tested.The results obtained shown that response time and throughput of application gets reflected mostly by Data Size, number of requests per user and number of concurrent users. It is also observed that the most significant factor is data size along with huge volume of concurrent users, impacts the response time of multi scale application.Hench this research recommends that multi scale data I.e. data type and data size plays vital role in cloud based multi scale application’s performance measurement.
Keywords: Cloud Computing, Multi Scale Cloud Application, Performance measurement, Cloud Analyst, Request-Response Time, System Throughput.
Scope of the Article: Cloud Computing.