Optimization of Cloud-Based Applications Using Multi-site QoS Information

Abstract : With rapid increase of the use of cloud services, the availability of Quality of Service (QoS) information is becoming of utmost importance to assist application managers in selection of suitable services for their enterprise applications. Due to different characteristics of cloud and on-premise services, monitoring and management of cloud-based enterprise applications requires a different approach that involves the monitoring of QoS parameters such as availability and response time in different geographic locations. In this paper, we propose a multi-site model for the monitoring and optimization of cloud-based enterprise applications that evaluates the availability and response time of cloud services concurrently across different geographic locations. Our preliminary results using eWay and PayPal payment services monitored in eleven sites across four geographic regions indicate that location-based information can be used to improve the reliability and performance of cloud-based enterprise applications.
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Hong Tran, George Feuerlicht. Optimization of Cloud-Based Applications Using Multi-site QoS Information. A Min Tjoa; Li Da Xu; Maria Raffai; Niina Maarit Novak. 10th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Dec 2016, Vienna, Austria. Springer International Publishing, Lecture Notes in Business Information Processing, LNBIP-268, pp.325-338, 2016, Research and Practical Issues of Enterprise Information Systems. 〈10.1007/978-3-319-49944-4_24〉. 〈hal-01630528〉

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