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Rapid growth of the demand for computational power by scientific, business and web-applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. We propose an energy efficient resource management system for virtualized Cloud data centers that reduces operational costs and provides required Quality of Service (QoS). Energy savings are achieved by continuous...
In service oriented cloud, in order to meet the different users' service requirements, the cloud venders need to manage the service applications' deployment effectively first. During the deployment process, the deployment costs and the influence of service deployment to the cloud are very important issues to be paid attention to, which lacks in current research. In this paper, we design a novel optimization...
Cloud computing is a natural evolution for data and compute centers with automated systems management, workload balancing, and virtualization technologies. Cloud-based services integrate globally distributed resources into seamless computing platforms. In an open cloud computing framework, scheduling tasks with guaranteeing QoS constrains presents a challenging technical problem. This paper presents...
Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine...
Automated composition and optimization of workflows in Service Oriented Computing (SOC) is a challenging research area. However, there are numerous problems yet to be completely resolved, such as: How to automate the solution in a service oriented environment with redundant services competing with each other? How to formally quantify the performance metrics based on user requirements both at the task...
Automated composition and optimization of workflows in service-enriched environments is a challenging research area with strong implications in globally distributed systems such as Grid Computing and Cloud Computing. A workflow is composed of web services selected in accordance with user requirements. A strong formal realization of the problem is inevitable to ensure efficiency based on various interdependent...
We describe various challenges in ensuring quality attributes (QA) of applications hosted in the cloud and hence the perceived quality of service of the cloud as a whole. We advocate a self-management/optimization architecture-driven approach to ensure that quality attributes are met. We discuss the limitations of current approaches to self-managing architecture. We propose a novel approach, which...
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