Indian Journal of Science and Technology

Abstract

Background/Objectives: To analyze the Quality of Service in Cloud Computing and improve its services in the cloud environment. Method/Statistical Analysis: With the increasing use of services in cloud environment needs the improvements in the Quality of Services (QoS). Most cloud providers support Qos and it attract the customers due to its services. The Quality of Service (QoS) in cloud making the services efficient in the shared or distributed infrastructure and some companies are providing the cloud services are Microsoft, Amazon, Google and IBM.The use of Quality of Services based on the three approaches is comparison, evaluation and trustworthiness of the services to be analyzed and the QoSalso analyzed with the help of scheduling algorithms. Findings: Cloud services have some problems in which the data stored in cloud are not secure and occurrence of network dependency. The QoScan be decided for the services are based on the set of parameters such speed of the performance, processing, storage,memory allocation, security, functions, service response time and total throughput. The Quality of Services can be predicted based on the workflow model and the ranking prediction approaches. Applications/Improvements: The result observed from this work will serve as the motivation to improve the quality of service in cloud environment. The service response time and total throughput improvement will improve the QoS of cloud services.
Keywords: Integer Linear Programming,QoS, Reference Net Based Workflow,Taverna,TBB