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Recently we witnessed a deep transformation in the the design, development and management of modern applications, which have grown in scope and size becoming distributed and service-oriented. A big part in this metamorphosis is played by the Cloud with the availability of almost-infinite resources, high availability and outsourced maintenance. This has led to the emergence of new software development...
To efficiently exploit the inherent values of big data, the large-scale data center with multiple compute nodes is deployed. In this scenario, the job placement method becomes the key issue to match the compute nodes with the data analysis jobs, to balance the workloads among the nodes and meet the resource requirements for various jobs. In this work, an inverse clustering-based job placement method...
One of the key enablers of a cloud provider competitiveness is ability to over-commit shared infrastructure at ratios that are higher than those of other competitors, without compromising non-functional requirements, such as performance. A widely recognized impediment to achieving this goal is so called "Virtual Machines sprawl", a phenomenon referring to the situation when customers order...
Currently most commercialized cloud providers mainly offer cloud computing resources by the fixed price approach. However, this may not be efficient for cloud resource usage especially when the total computing capacity is limited. Since the auction mechanism is already shown to be an approach to many resource-limited problems, how to apply such a mechanism to the cloud computing environment for improving...
As cloud computing increasingly enters the commercial domain, the resource management issues are becoming a major concern. The dynamics and complexity of cloud environments pose some challenges in managing the resources to ensure the quality of service (QoS) continuously met under fluctuating workloads. In this paper, we focus on the advance resource reservation management issues for the cloud environments...
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