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QoS aware service composition necessitates an effective pricing mechanism in regulating service providers in public cloud computing environments. However, due to the fact that service providers are usually autonomous, strategic and self-motivated, it is far from trivial to deal with the pricing issues between them. In this paper we formulate a non-cooperative service pricing game to understand the...
In multi-tier cloud service systems, performance evaluation relies on numerous experiments in order to collect key metrics such as resources usage. The approach may result in highly time-consuming in practice. In this paper, we propose an automated framework for performance tracking, data management and analysis to minimize human intervention in multi-tier cloud service systems. The framework support...
Parallel application jobs account for a large population in current domain of cloud computing and Big Data processing services, whose execution time can be varied greatly with different runtime configurations. For efficiently scheduling resources and services to run parallel jobs, the ability to quickly and accurately estimate the performance of parallel applications is critical. Analytic predictive...
Mobile cloud computing is now emerging as a promising way to enlarge the capabilities of mobile devices by computation offloading. One of the critical challenges faced by the mobile cloud providers today is how to increase the profitability of their cloud services. In this paper, we deal with the problem of scheduling parallelizable computation jobs offloaded by mobile users in public cloud to maximize...
Performance, in terms of high quality of service and resource utilization for example, is one of top considerations for cloud applications. However, the response time of most multi-tier applications today frequently present large scale fluctuations (e.g., Ranging from tens of milliseconds up to tens of seconds) during periods of high resource utilization. It is important to find the reasons that cause...
Scalability is one of the many challenges in designing and operating SaaS-type applications, which demands dynamic generation, composition, deployment, and monitoring of applications. A fundamental problem that confronts such applications is the efficient approach to evaluate the performance of the applications and resource utilization before they actually deployed. In this paper, S-BM, a benchmark...
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