In order to reduce cost and improve efficiency, many data centers adopt virtualization solutions. The advent of virtualization allows multiple virtual machines hosted on a single physical server. However, this poses new challenges for resource management. Web workloads which are dominant in data centers are known to vary dynamically with time. In order to meet application’s service level agreem...

Abstract Quality Function Deployment (QFD) is an approach to translate customer requirements into technical requirements for a product or service. The traditional QFD provides a fundamental analysis, but it is still inconvenient when decision making in technical design should address business objection. The competition strategies and the resource allocation for this improvement planning are ess...

Query optimization techniques are proved to be essential for high performance of database management systems. In the context of new querying paradigms, such as similarity based search, exact query evaluation is neither computationally feasible nor meaningful, and approximate query evaluation is the only reasonable option. In this paper a problem of resource allocation for approximate evaluation...

Resource allocation in computational grids is considered as a NP-Complete problem due to resources heterogeneity. Grid resources are related to various management areas exerting different management policies. Nowadays, enhancing grid efficiency is regarded as a problem requiring proper and effective schedule. Unfortunately, grid resources dynamic nature, in addition to the variety of users’ req...

Dynamic services using the scalable and virtualized property over the network is provided in the cloud computing environment. The cloud computing does not effective in handling the normal resource allocation algorithms. The cloud computing schedulers make a decision on workflow allocation. Cloud always consumes a high communication cost than the known resource schedulers in large scale distribu...

In order to efficiently utilize limited radio resources, resource allocation schemes in OFDMA-based wireless networks have gained intensive attention recently. Instead of improving the throughput performance, the utility is adopted as the metric for resource allocation, which provides reasonable methods to build up the relationship between user experience and various quality-of-service (QoS) me...

In this paper, we present an energy-efficient resource allocation and power control scheme for D2D (Device-to-Device) multicasting transmission. The objective is to maximize the overall energy-efficiency of D2D multicast clusters through effective resource allocation and power control schemes, while considering the quality of service (QoS) requirements of both cellular users (CUs) and D2D clust...

This paper proposes a novel approach of cross layer resource allocation based on Quality of Experience (QoE) for multiple applications in downlink Long Term Evolution (LTE) systems. To maximize the level of system QoE while guaranteeing the fairness for users, we introduce a Particle Swarm Optimization (PSO) based resource block allocation algorithm which has a quicker convergence rate. It is m...

In the future IP networks, a wide range of different service classes must be supported and different classes of customers will pay different prices for their used network resources based on Service-Level-Agreements. In this paper, we link resource allocation scheme with pricing strategies and explore the problem of maximizing the revenue of network providers by resource allocation among multipl...

In this paper, an optimal wireless resources allocation scheme is put forward to improve the performance for both cellular and Device-to-Device (D2D) users in a hybrid network. The resource unit and power allocation can be modeled into a sum-rate optimization problem with the constraint of power limitation and rate ratio. The rate ratio is used to measure the data rate requirements from both ce...