Cloud computing as newly emergent computing environment offers dynamic flexible infrastructures and QoS guaranteed services in pay-as-you-go manner to the public. System virtualization technology which renders flexible and scalable system services is the base of the cloud computing. How to provide a self-managing and autonomic infrastructure for cloud computing through virtualization becomes an important challenge. In this paper, using feedback control theory, we present VM-based architecture for adaptive management of virtualized resources in cloud computing and model an adaptive controller that dynamically adjusts multiple virtualized resources utilization to achieve application Service Level Objective (SLO) in cloud computing. Compared with Xen, KVM is chosen as a virtual machine monitor (VMM) to implement the architecture. Evaluation of the proposed controller model showed that the model could allocate resources reasonably in response to the dynamically changing resource requirements of different applications which execute on different VMs in the virtual resource pool to achieve applications SLOs.
Optical network-on-chip (ONoC) is a promising solution for its high bandwidth and low energy consumption. However, optical circuit switching requires an electrical control network, which leads to network congestion, low network utilization, high latency, and an overhead in energy consumption. In this letter, we propose an architecture called RPNoC based on ring topology using packet switching. A wavelength assignment method and a deadlock-free deterministic routing algorithm are jointly designed, which significantly reduce the maximum number of hops using much fewer optical devices compared with other packet-switched ONoCs. The simulation is carried out for 64-node RPNoC under uniform and realistic traffic pattern. The evaluation results show that it yields higher throughput, lower latency, and lower energy consumption than mesh and ring networks.Index Terms-ONoC, WDM, wavelength assignment, packet switching, deterministic routing algorithm.
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