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Call admission control (CAC) is one of the vital components in the management of the scarce wireless network resources in mobile broadband networks. Recently, a QoS-aware CAC algorithm with Bandwidth Reservation (BR) and Bandwidth Degradation (BD) (QACAC-BR-BD) was proposed to improve resource utilization and ensure QoS for all classes. However, the algorithm wastes network resources due to a static...
With emerging use of real time communication (i.e., high band width videos, video calls etc.) and IoT, this become challenge to manage network and handle traffic. SDN is a technology which provides scalability and flexibility to network by decoupling of control plane and data plane. It is also difficult to allocate resources depending upon types of tasks and user requirements. SDN central controller...
Energy internet has received increasing attention as a promising solution for the widespread use of renewable energy resources in recent years. One of critical issues in energy internet communications is how to guarantee the desired quality of service(QoS) while numerous smart devices access the wireless network. In this paper, we study the problem of access scheduling for QoS guarantees under massive...
Quality of service (QoS) constrained multicast service over vehicular networks has considerable benefit for both road safety and entertainment, while the resource allocation problem of it is challenging due to the high mobility of vehicles. In this paper, we manage the vehicle mobility by dividing one scheduling round into multiple segments, and investigate the resource allocation problem to answer...
Energy efficiency is an extremely important performance indicator for device-to-device communications due to the limited battery capacity of user equipments (UEs). In this paper, we focus on the two-stage EE optimization problem, which consists of a channel and power allocation problem in the first stage, and a context-aware D2D peer recovery problem in the second stage. We incorporate a many-to-one...
Resource allocation in data centers is a significant research area in cloud computing. A high-efficiency resource allocation strategy can save the operating cost for cloud service providers, and less amount of carbon dioxide emissions to the atmosphere. While the Service Level Agreement(SLA) of customers can be guaranteed. So the cloud providers have to deal with the cost-performance trade-off: the...
In this paper, we presented a fairness-aware scheduling scheme in OFDM-based cognitive radio networks. Our objective is to maximize the systems energy efficiency while maintain the fairness among secondary users. In addition, many factors will be considered such as the channel quality, the interferences taken to the primary system and the total transmission power of the cognitive radio system. The...
Wireless Network Virtualization (WNV) enables high resource utilization, inter-slice isolation and customizable resource allocation, and has attracted much interest. However, most of works on WNV did not consider the business model between Infrastructure Providers (InPs) and Service Providers (SPs) nor did they focus on the isolation and customization issues. This paper proposes a WNV framework for...
In this paper, we model and analyze the resource management problem of energy harvesting-based underlaying device-to-device (D2D) communication in uplink cellular networks (CNs). D2D transmitter can harvest energy from ambient inter- ference and reuse the spectrum of the cellular users (CUs) to com- municate with corresponding receiver. The energy of transmitters comes form the mix of the harvested...
With the rapid development of high-speed railway (HSR) system, there is an increasing demand on providing high quality multimedia services for HSR passengers. In this paper, we investigate the downlink resource allocation problem for multimedia services delivery in HSR orthogonal frequency division multiple access (OFDMA) system. Taking the statistical delay-QoS requirements into account, we formulate...
In this paper, we propose a novel deferred acceptance based resource allocation algorithm (DARA) for allocating LTE cellular user resource to D2D devices. The quality of service (QoS) constrained downlink resource block (RB) allocation problem is first formulated as a computationally expensive mixed integer nonlinear programming (MINLP) problem. We also propose a polynomial-time matching algorithm...
Allowing Secondary Users (SUs) to access the licensed spectrum without causing harmful interference to the Primary Users (PUs) is crucial in enabling the Cognitive Radio (CR) technology. In order to increase the utilization of the spectrum bands, we propose a Dynamic Spectrum Allocation (DSA) algorithm that integrates both interweave and underlay spectrum access schemes. The proposed algorithm will...
Cloud computing systems face the substantial challenge of the Long Tail problem: a small subset of straggling tasks significantly impede parallel jobs completion. This behavior results in longer service response times and degraded system utilization. Speculative execution, which create task replicas at runtime, is a typical method deployed in large-scale distributed systems to tolerate stragglers...
Virtual machine placement (VMP) is mapping virtual machines (VMs) to appropriate physical machines (PMs) to achieve satisfactory objectives such as minimised energy consumption or maximised performance. VMP is considered as a non-deterministic polynomial-time hard (NP-hard) problem. Metaheuristic techniques are able to find near-optimal solutions to NP-hard problems. This paper presents a review upon...
A Wireless Sensor Network (WSN) is a set of nodes that sense and process information from the surrounding environment. For some critical applications, WSNs are very restrictive in terms of quality of service (QoS). QoS should be guaranteed but also energy should be saved. In our work, we consider the problem of power allocation in heterogeneous Wireless Sensor Networks (WSNs), especially critical...
In this paper we compare three novel schemes for dynamic frequency allocation and transmission power assignment for cognitive radio networks. These spectrum allocation schemes are based on reinforcement learning and power optimization procedures. We propose the so-called RL+Power and RL+Power Coupled schemes and compare them with an existing constant power scheme. Simulation results show that the...
Dynamic service scheduling is a challenging problem to the high-efficient implementation of service based business applications. Recent researches on dynamic service scheduling mostly focus on the service allocation, but they seldom optimize the timetable which defines the starting time of each service instance, and the existing methods proposed are time-consuming and with low calculation precision...
We investigate the QoE-centric heterogeneous network selection problem. Users usually struggle for the maximum throughput when select access network. However, compared to QoS-centric optimization mechanism, in order to get more rational allocation of resources and improve the resource utilization, we seek the QoE optimization method mechanism instead. The core idea of QoE-centric optimization is to...
Machine-to-Machine (M2M) communication is used for automated data transmission and measurement between remote electronic devices. Every device that can use M2M communication will become a significant component of the Internet of Things (IoT) and Big Data. And there are many different applications of M2M communication (e.g., fleet management, smart metering, smart grid, and home/factory/city automation)...
As an effective service mode, online auditing which serves the highest state audit institution is emerging as an important tool for national governance. However, as a crucial part during online auditing workflow, data stream processing has become one of the most important problems that restrains the development of online auditing. To address this problem, our study are primarily focusing on three...
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