Data Distribution Handling on Cloud for Deployment of Big Data

Raut, Samip; Jaiswal, Kamlesh; Kale, Vaibhav; Mote, Akshay; Pawar, Soudamini; Kadam, Sunil R.

doi:10.5121/ijccsa.2016.6302

Cited by 1 publication

(3 citation statements)

References 2 publications

(2 reference statements)

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“…When multiscale applications are executed in cloud environment, different types of data, data size of the application, number of requests and the concurrency of its users affect overall performance [38].Performance bottlenecks of such applications need to be evaluated before its actual deployment.…”

Section: Problem Statement and Objectivesmentioning

confidence: 99%

“…B. Santhosh Kumar [8],Sandip Patel [38],SoumyaRay [39] explained importance of load balancing algorithms used in VM allocation.Authors in [10,11,22,31,36,41,42] compared and analyzed all existing load balancing algorithms while in [4],whereasauthors in [10,11,16,22,28,33,41] analyzed importance of service broker polices.Various researcher work shows that the application's overall performance gets affected by the payload of the application, type of data incurred in it and concurrency of the application in the cloud. In the conclusion of above researchers indicate that for social networking applications and multimedia based applications in cloud, the performance gets affected by payload of application & concurrency of application.Hence it needs to be measured, analyzed and improved by changing network characteristicsor by upgrading the infrastructure of servers or by enhancing the algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…The cloud computing is the current methodology of deploying applications over internet. It is the practice of using managed services that are hosted on network of remote servers over the Internet to store, manage, and process data and its deal with all transaction as way the local server or personal computer deal [38]. Generally, applications running in cloud environment are designed to deal with small to extremely large number of users, is termed as scalability.Multi Scale Applications in cloud consists of variable payload i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Analysis of Multi Scale Applications on Cloud Systems

Kumbhar*,

Kumar

2019

IJRTE

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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.

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Section: Problem Statement and Objectivesmentioning

confidence: 99%