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Traditional Virtual Machines are over-provisioned to provide peak performance and waste a lot of system resources. In this paper, we propose and implement a placement strategy of Virtual Machines based on workload characteristic-s. In our approach, the virtual machines are placed into various groups after several iterations and matching based on the complementary of virtual machines' workloads. Requested...
With active deployment of virtualization in large scale data centers and cloud computing environments, allocation and scheduling of virtual and physical resources raise more challenges and may have negative impacts on system performance due to: (1) the isolation between the guest Virtual Machines (VMs) and the Virtual Machines Monitor (VMM), and (2) the independent and even conflicting operations...
Recently, peer-to-peer (P2P) search technique has become popular in the Web as an alternative to centralized search due to its high scalability and low deployment-cost. Various P2P search systems have been proposed to support full-text search. However, P2P search systems are known to suffer from the problem of peer dynamics, such as frequent peer churn and content evolution, which cause serious performance...
The performance evaluation of wireless sensor network based on passive monitoring restricted by two respects: first, passive monitoring trace is incomplete, because monitors can not capture every transmission in the network. Second, the information directly extracted from trace is insufficient. Performance evaluation always needs some implicit information, e.g., packet reception. To solving the problems...
This paper investigates event localization in wireless sensor networks. We improve the SNAP (Subtract on Negative Add on Positive) localization algorithm and propose the MSNAP (Modified Subtract on Negative Add on Positive) localization algorithm with higher localization accuracy and better performance of fault tolerance. First, every sensor node obverses the event signal and compares its observed...
The present methods for measuring concepts semantic similarity only focus on certain influencing factors, have poor convergence performances and canpsilat calculate accurately. This paper compares three kinds of ontology-based semantic similarity calculation models. On this basis, an improved algorithm that inherits the distance-based calculation model is proposed. In this approach, node depth, local...
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