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As Internet applications have become more diverse in recent years, users having heavy demand for online video services are more willing to pay higher prices for better services than light users that mainly use e-mails and instant messages. This encourages the Internet Service Providers (ISPs) to explore service differentiations so as to optimize their profits and allocation of network resources. Much...
With Docker gaining widespread popularity in the recent years, the container scheduler becomes a crucial role for the exploding containerized applications and services. In this work, the container host energy conservation, the container image pulling costs from the image registry to the container hosts and the workload network transition costs from the clients to the container hosts are evaluated...
In energy harvesting (EH) network, the energy storage devices (i.e., batteries) are usually not perfect. In this paper, we consider a practical battery model with finite battery capacity, energy (dis-)charging loss, and energy dissipation. Taking into account such battery imperfections, we rely on the Lyapunov optimization technique to develop a stochastic online control scheme that aims to maximize...
This paper considers the long-term network resource allocation problem subject to queue stability. The dynamic problem is first reformulated as a static stochastic programming. To tackle the resultant static programming, we study its dual problem which contains finite number of variables in oppose to the primal problem that has infinite dimension. A novel online framework is developed by formulating...
In this paper, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources (RES), dynamic pricing, two-way energy trading facilities and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy...
This paper introduces a new paradigm that combines in-swarm sampling/processing together with formation forming methods. The introduced concept is capable of generating a regular sampling lattice through emergent behavior of swarm agents and, in a second step, exploits this formation using 2-D filtering and processing algorithms based on the so-called multidimensional Roesser model. The swarm system...
Software-Defined Networking (SDN) has great potentials in changing the fragile and complex enterprise networks. One operational challenge to SDN deployment is the settlement of legacy switches. A hybrid SDN consisting of both SDN and legacy switches may be a tradeoff. Nevertheless most of the current SDN control planes can not handle legacy switches. To overcome this problem, we present HybridFlow,...
There is a big potential to enable more efficient data dissemination in mobile Delay-Tolerant Networks (DTNs) with the concurrent use of multi-copy forwarding and social metrics. However, this also leads to the possibility of severely overloading the relay nodes with high social metrics, and consequent performance degradation. We propose a fair source quota allocation algorithm to effectively alleviate...
In this paper, we develop an ILP model to formulate the RSA problem for the hybrid network coding based multicast services and the unicast services over the flexible optical network. The goal is to accommodate all hybrid services utilizing the minimum spectrum resources, considering the time delay constraint. For the multicast services, the possibility of network coding is considered, resulting the...
A novel framework is proposed for optimal resource management in multi-input multi-output (MIMO) downlink systems with smart-grid capabilities. Practical models are put forth to account for the stochastic renewable energy sources (RES), dynamic energy prices, as well as random wireless channels. Capitalizing on these models, a resource allocation task is formulated as an optimization problem that...
Wireless virtualization has significant potential for improving the efficiency of resource utilization through spectrum sharing. However, several challenges exist in enabling/implementing virtualization over the current static cellular infrastructure. In the meantime, virtualization necessitates spectrum sharing and a collaborative network management entity that needs to provide efficient isolation...
Tailored for the emerging class of cognitive radio networks comprising primary and secondary wireless users, the present paper deals with channel-adaptive allocation of sub-carriers, rate and power resources for orthogonal frequency-division multiple access (OFDMA). Users rely on adaptive modulation and coding that they select in accordance with the limited-rate feedback they receive from the access...
Resource scheduling is one of the key problems of cloud computing, no wonder, the scheduling policy and algorithm affect the performance of the cloud system directly. In order to improve the utilization of cloud computing resources and keep load balancing, a cloud computing resource scheduling algorithm based on estimation of distribution algorithm is proposed. In this algorithm, the idea of population...
This paper develops a novel approach to obtaining the optimal scheduling strategy in a multi-input multi-output (MIMO) multi-access channel (MAC), where each transmitter is powered by harvesting energy from the environmental sources. Relying on the convex optimization tools, the proposed approach provides a low-complexity iterative block coordinate ascent algorithm to obtain the optimal transmission...
In wireless orthogonal frequency division multipleaccess (OFDMA) standards, subcarriers are grouped into chunks and a chunk of subcarriers is made as the minimum unit for subcarrier allocation. We investigate the chunk-based resource allocation for OFDMA downlink, where data streams contain packets with diverse bit-error-rate (BER) requirements. Supposing that adaptive transmissions are based on a...
In cellular networks, it is important to conserve energy while at the same time ensuring users to have good transmission experiences. The energy cost can result from tail energy due to the radio resource control strategies designed in cellular networks and data transmission. Existing efforts generally consider one of the energy issues, and also ignore the adverse impact on user transmission performance...
This paper considers the jointly optimal rate and power allocation that maximizes a utility function of average rates in fading OFDMA broadcast channels. Derived under the assumption that superposition coding is allowed per subcarrier, the proposed low-complexity (yet capacity-achieving) resource allocation scheme can yield higher achievable rates than the existing approaches based on exclusive subcarrier...
Ideally, the throughput of a Multipath TCP (MPTCP) connection should be as high as that of multiple disjoint single-path TCP flows. In reality, the throughput of MPTCP is far lower than expected. This is fundamentally caused by the fact that a sub flow with high delay and loss affects the performance of other sub flows, and thus becomes the bottleneck of the MPTCP connection and significantly degrades...
Wireless sensor and actuator networks (WSANs) have been widely implemented in smart grid to monitor and control their environment. We consider the sensor selection schemes for parameter estimation in energy constraint WSANs. To prolong the network lifetime and optimize energy consumption, only sensors experiencing favorable conditions will participate in the estimation process. In this paper, we study...
We consider adaptive subcarrier assignment and fair power control strategy that minimizes a cost function of average relay powers for multi-user wireless OFDM networks, where relays assist communication between sources and destinations with an amplify-and-forward strategy. Using a class of beta-fair cost functions to balance the tradeoff between energy efficiency and fairness, jointly optimal subcarrier...
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