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Cloud computing has emerged to provide infrastructure for cost-effectively hosting applications with dynamically changing demands for computational resources. Dynamic resource allocation in cloud computing is made possible through virtualization technologies. In addition, live migration of services hosted in virtual machines (VMs) among multiple data centers is expected to add more flexibility in...
Modern wireless networks, such as WiMAX or LTE are using OFDM/OFDMA as the enabling technologies for broadband transmission in cellular environments with QoS capabilities. In these networks, such schema as radio resource management, admission control, scheduling are essential. In this article we firstly introduce a Time-Frequency Burst Mapping algorithm for radio resource management that improves...
In this paper, we propose an ordinal optimization (OO) based algorithm for solving the resource allocation optimization problem of grid computing system to maximize the service reliability. An approximate model is firstly proposed to estimate the service reliability of a resource allocation design within a tolerable computation time. Next, we employ the proposed algorithm to solve the resource allocation...
In future fourth generation wireless networks OFDM and MIMO techniques will be heavily exploited to provide connectivity to heterogeneous users offering different data traffic types. This paper proposes a low complexity resource allocation strategy for MIMO-OFDMA (Multiple-Input Multiple-Output Orthogonal Frequency Division Multiple Access) broadcast channel to support delay-sensitive traffic with...
Due to the fact that existing 3.5G network cards usually select networks with the highest data rate as their priority choices, the radio resources may not be efficiently and equally utilized in a multiple network environment, even when the network with the highest rate is already congested. In this paper, we propose two dynamic resource allocation algorithms to resolve such issues assuming an HSPA...
In this paper, we deal with a scheduling algorithm to fulfil a qualified end-to-end video service in terms of fairness and energy efficiency over multi-hop wireless sensor networks. For this goal, we explore to optimize the routing and power allocation via cross-layer optimization by utilizing a game-theoretic approach. In order to reduce computational complexity, we also propose a distributed optimization...
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