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This article presents a new model and a resolution algorithm, based on Tabu Search, for the assignment of Virtual Machines (VMs) to servers in a data center. We propose a Mixed Integer Programming (MIP) model that optimizes the Quality of Service (QoS) and power consumption of applications, taking into account their communication traffic and dynamic aspects. A hierarchic method and a Tabu Search heuristic...
The shared nature of cloud network infrastructures causes unpredictable network performance, which may degrade the performance of these applications. Recently, several works propose to explicitly reserve the network bandwidth in the cloud with virtual network abstraction models, which pre-specify the network bandwidth between virtual machines (VMs) for a tenant job. However, the pre-specification...
Data Locality is one of the critical factors to affect performance. This paper proposes a next-k-node scheduling (NKS) method to improve the data locality of map tasks. The method first calculates the probabilities of each map task, and then preferentially schedules the one with the highest probability. It generates low probabilities for the tasks which satisfy node locality with the nodes to issue...
Network bandwidth and hardware technology are developing rapidly, resulting in the vigorous development of the Internet. A new concept, cloud computing, uses low-power hosts to achieve high usability. The cloud computing refers to a class of systems and applications that employ distributed resources to perform a function in a decentralized manner. Cloud computing is to utilize the computing resources...
As more flexible and self-adaptive network connections are expected between cloud users and service vendors, the requests for more sophisticated bandwidth scheduling schemes are emerging. In this paper, we conduct a thorough study on the a specific type of bandwidth reservation: First-Slot scheduling in this scenario. We introduce a model for the optical networks with sparse wavelength conversion,...
MapReduce has emerged as a model of choice for supporting modern data-intensive applications. The model is easy-to-use and promising in reducing time-to-solution. It is also a key enabler for cloud computing, which provides transparent and flexible access to a large number of compute, storage and networking resources. Setting up and operating a large MapReduce cluster entails careful evaluation of...
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