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In cloud computing resource allocation should be elastic, within the sense that it must have modification accurate and quickly based on the demand. In cloud computing, Virtual machine allocates the resource for user's needs. Some time workload of service, increase rapidly, the existing approaches solve aggressive resource provisioning tasks using SPRNT, but still some challenges occur in VM allocation...
Applications in modern data centers have a wide variety of resource requirements along the four main dimensions of computing, memory, storage, and networking. Data centers must manage these resources separately for each dimension, resulting in highly inefficient allocation of precious resources or even disastrous schemes that contribute to low utilization or over-provisioning of resources. However,...
In current high bandwidth-delay-product networks, traditional end-to-end network protocols cannot guarantee the fair allocation of network resources (i.e., a rogue source that sends at an uncontrolled rate can seize a large fraction of the buffers at an intermediate router which results in dropped packets for other connections). Fair-queuing (FQ) algorithms were proposed to overcome this drawback...
In this paper, we propose a greedy framework for distributed scheduling in the IEEE 802.16 MeSH mode, which uses a novel ??End-to-end QoS aware bandwidth Reservation Protocol?? (EQRP) to provide end-to-end QoS guarantee to intramesh flows. The proposed framework provides an efficient and integrated solution to QoS aware routing and call admission control in distributed WiMAX mesh networks. The framework...
The computing power of microprocessors has exponentially increased in the past few decades, so the support to compute intensive multimedia applications has increased too. With such improved computing power, memory subsystem deficiency becomes the major barrier to support video decoder on the Digital Signal Processor (DSP). H.264/AVC becomes the next generation of video codec for embedded systems....
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