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Journal of Modern Power Systems and Clean Energy 2020年第5期8卷 853-862页

作者： Sidun Fang Tianyang Zhao Yan Xu Tianguang Lu School of Electrical and Electronics Nanyang Technological UniversitySingaporeSingapore School of Engineering and Applied Sciences Harvard UniversityCambridgeUSA

To enhance the flexible interactions among multiple energy carriers,i.e.,electricity,thermal power and gas,a coordinated programming method for multi-energy microgrid(MEMG)system is *** energy requirements for both residential and parking loads are managed simultaneously,i.e.,electric and thermal loads for residence,and charging power and gas filling requirements for parking *** proposed model is formulated as a two-stage joint chance-constrained programming,where the first stage is a day-ahead operation problem that provides the hourly generation,conversion,and storage towards the minimization of operation cost considering the forecasting error of photovoltaic output and load ***,the second stage is an on-line scheduling which adjusts the energy scheme in hourly time-scale considering the *** have demonstrated the validity of the proposed method,i.e.,collecting the flexibilities of thermal system,gas system,and parking vehicles to facilitate the operation of electrical *** analysis shows that the proposed scheme can achieve a compromise between the operation efficiency and service quality.

关键词： Multi-energy microgrid system operation efficiency quality-of-service joint chance-constrained programming

Power and Rate Control for Wireless Communication Networks Based on Priority of quality-of-service 36

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Power and Rate Control for Wireless Communication Networks B...

quality of service Improvement with Optimal Software-Defined Networking Controller and Control Plane Clustering

第36届中国控制会议

作者： Cunwu Han Shurui Chang Lei Liu Zhijun Li Dehui Sun Beijing Key Laboratory of Fieldbus Technology and Automation North China University of Technology

ISBN: (纸本)9781538629185

Existing power and rate control methods for wireless communication networks aim to maximize the system capacity and the network throughput, and attempt to increase the quality-of-service（QoS）, but cannot guarantee the QoS. This paper presents a new power and rate control method for wireless communication networks, which is based on the priority of QoS, so the QoS can be guaranteed. A dual closed-loop power and rate controller is designed. The transmission rate is controlled by the outer loop, the target transmission rate is obtained（thus the optimal target signal-to-inference ratio（SIR） can relatively be determined） based on the priority of QoS. According to the target SIR, the transmit power is controlled by the inner loop to make the actual SIR track the target one. Simulation results show that the proposed power and rate control method has good control performance.

关键词： Wireless communication networks power control rate control quality-of-service

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Computers, Materials & Continua 2021年第4期67卷 849-875页

作者： Jehad Ali Byeong-hee Roh Department of Computer Engineering and Department of AI Convergence Network Suwon16499Korea

The controller is indispensable in software-defined networking(SDN).With several features,controllers monitor the network and respond promptly to dynamic *** performance affects the quality-of-service(QoS)in *** controller supports a set of ***,the support of the features may be more prominent in one ***,a single controller leads to performance,single-point-of-failure(SPOF),and scalability *** overcome this,a controller with an optimum feature set must be available for ***,a cluster of optimum feature set controllers will overcome an SPOF and improve the QoS in ***,leveraging an analytical network process(ANP),we rank SDN controllers regarding their supporting features and create a hierarchical control plane based cluster(HCPC)of the highly ranked controller computed using the ANP,evaluating their performance for the OS3E *** results demonstrated in Mininet reveal that a HCPC environment with an optimum controller achieves an improved ***,the experimental results validated in Mininet show that our proposed approach surpasses the existing distributed controller clustering(DCC)schemes in terms of several performance metrics i.e.,delay,jitter,throughput,load balancing,scalability and CPU(central processing unit)utilization.

关键词： quality-of-service software-defined networking controller hierarchical control plane clustering scalability

Hybrid Broadcast for the Video—on—Demand service

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Journal of Computer Science & Technology 2002年第4期17卷 397-410页

作者：马华东 KangG.Shin CollegeofComputerScienceandTechnolgoy BeijingUniversityofPostandTececommunicationsBeijing100876P.R.China Real－TimeComputingLab EECSDepartmentTheUniversityofMichiganAnnArborMI4

Multicast offers an efficient means of distributing video contents/programs to multiple clients by batching their requests and then having them share a server's video *** customers' requests is either client-initiated or *** anvanced client-initiated video multicasts are implemented by *** broadcast,a typical server-initiated approach,can be entirety-based or *** paper focuses on the performance of the VoD service for popular ***,we analyze the limitation of conventional patching when the customer request rate is ***,By combining the advantages of each of the two broadcast schemes,we propose a hybrid broadcast scheme for popular videos ,which not only lowers the serviec latency but also improves clients' interactivity by using an active buffering technique ,This is shown to be a good compromise for both lowering service latency and improving the VCR-like interactivity.

关键词： quality-of-service interactivityscheduling video-on-demand broadcast multicast

service-Oriented Wireless Multimedia Multicasting with Partial Frequency Reuse

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Tsinghua Science and Technology 2016年第6期21卷 598-609页

作者： Quanxin Zhao Liang Xu Yuming Mao Supeng Leng Geyong Min Jia Hu Noushin Najjari the School of Communication and Information Engineering University of Electronic Science and Technology of China the College of Engineering Mathematics and Physical Sciences University of Exeter

service-Oriented Architecture（SOA） is employed in a wide range of applications because it promises to expose computation-intensive tasks as services and combine them with new applications to accelerate their applications development process. For service-oriented multimedia applications, the performance of multicasting transmission services under multimedia traffic must be evaluated. Multiview Video（MVV） is a promising and emerging type of multimedia traffic that consists of multiple video streams, allows stream switching, and requires strict quality-of-service（Qo S）. In this study, we investigated multicast transmission of MVV in wireless cellular networks with Partial Frequency Reuse（PFR） and focused on two challenging problems：（1） multicast group formation and（2） subchannel and power allocation. Initially, we propose a novel Content-based Partial frequency reuse Diversity Grouping（CPDG） scheme to allocate users to multicast groups on the basis of Partial frequency reuse Diversity（PD） in wireless networks with PFR. After group formation, an optimization problem for subchannel and power allocation is formulated to minimize network power consumption under Qo S constraint. Thereafter,the optimization problem is divided into two subproblems and solved using simplex method and Karush-KuhnTucker（KKT） condition. Finally, to solve the optimization problem, a suboptimal scheme referred to as Partial frequency reuse Diversity Based Energy-efficient Multicasting（PDEM） is proposed by dynamically allocating wireless resources under Qo S constraint. The simulation results show that the proposed PDEM scheme can achieve close-to-optimal performance. Moreover, mathematical analysis of the effect of PD on network performance can provide guidelines for optimization of multimedia traffic in multicasting-enabled wireless cellular networks with PFR.

关键词： service-oriented multimedia multicast quality-of-service frequency reuse diversity

Cloud Datacenter Selection Using service Broker Policies:A Survey

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 1-41页

作者： Salam Al-E’mari Yousef Sanjalawe Ahmad Al-Daraiseh Mohammad Bany Taha Mohammad Aladaileh Department of Information Security Faculty of ITUniversity of PetraAmman11196Jordan Department of Cybersecurity School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Computer Science School of ITAmerican University of Madaba(AUM)Amman11821Jordan Department of Data Science and Artificial Intelligence School of ITAmerican University of Madaba(AUM)Amman11821Jordan

Amid the landscape of Cloud Computing(CC),the Cloud Datacenter(DC)stands as a conglomerate of physical servers,whose performance can be hindered by bottlenecks within the realm of proliferating CC services.A linchpin in CC’s performance,the Cloud service Broker(CSB),orchestrates DC *** to adroitly route user requests with suitable DCs transforms the CSB into a bottleneck,endangering service *** tackle this,deploying an efficient CSB policy becomes imperative,optimizing DC selection to meet stringent qualityof-service(QoS)*** numerous CSB policies,their implementation grapples with challenges like costs and *** article undertakes a holistic review of diverse CSB policies,concurrently surveying the predicaments confronted by current *** foremost objective is to pinpoint research gaps and remedies to invigorate future policy ***,it extensively clarifies various DC selection methodologies employed in CC,enriching practitioners and researchers *** synthetic analysis,the article systematically assesses and compares myriad DC selection *** analytical insights equip decision-makers with a pragmatic framework to discern the apt technique for their *** summation,this discourse resoundingly underscores the paramount importance of adept CSB policies in DC selection,highlighting the imperative role of efficient CSB policies in optimizing CC *** emphasizing the significance of these policies and their modeling implications,the article contributes to both the general modeling discourse and its practical applications in the CC domain.

关键词： Cloud computing cloud service broker datacenter selection quality-of-service user request

A Novel Features Prioritization Mechanism for Controllers in Software-Defined Networking

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Computers, Materials & Continua 2021年第10期69卷 267-282页

作者： Jehad Ali Byungkyu Lee Jimyung Oh Jungtae Lee Byeong-hee Roh Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499Korea LIG Next1 Co.Ltd. Seongnam13488Korea Department of Software and Computer Engineering Ajou UniversitySuwon16499Korea

The controller in software-defined networking(SDN)acts as strategic point of control for the underlying *** controllers are available,and every single controller retains a number of features such as the OpenFlow version,clustering,modularity,platform,and partnership support,*** are regarded as vital when making a selection among a set of *** such,the selection of the controller becomes a multi-criteria decision making(MCDM)problem with several ***,an increase in this number will increase the computational complexity of the controller selection ***,the selection of controllers based on features has been studied by the ***,the prioritization of features has gotten less ***,several features increase the computational complexity of the selection *** this paper,we propose a mathematical modeling for feature prioritization with analytical network process(ANP)bridge model for SDN *** results indicate that a prioritized features model lead to a reduction in the computational complexity of the selection of SDN *** addition,our model generates prioritized features for SDN controllers.

关键词： Software-defined networking controllers feature-based selection quality-of-service analytical network process analytical hierarchy process

Proportional rate scheduling based on QoS in mobile WiMAX networks

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Journal of Systems Engineering and Electronics 2009年第6期20卷 1332-1335页

作者： Fang Lintang Zhang Xiaolin School of Electronic and Information Engineering Beihang Univ. Beijing 100191 P. R. China

A new scheduling scheme based on users＇ quality of service（QoS） in mobile WiMAX networks is *** proposed scheme tracks each user＇s average rate and adjusts the corresponding scheduling weight adaptively to result in：（a） each user＇s average rate is proportional to the corresponding QoS level;（b） the constraints of the minimal and/or maximal rates required by QoS can be satisfied;（c） the utility function of system is maximal under the constraints（a） and（b）.Theoretical analysis based on utility function and simulation results indicates the system throughput can be improved dramatically in the proposed scheme.

关键词： mobile WiMAX quality-of-service scheduling utility function.

Distributed QoS multicast routing in networks with imprecise state information

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Journal of Systems Engineering and Electronics 2005年第4期16卷 866-874页

作者： Yan Xin Li Layuan Dept. of Computer Science Wuhan Univ. of Technology Wuhan 430063 P.R. China

The goal of quality-of-service （QoS） multicast routing is to establish a multicast tree which satisfies certain constraints on bandwidth, delay and other metrics. The network state information maintained at every node is often im- precise in a dynamic environment because of non-negligible propagation delay of state messages, periodic updates due to overhead concern, and hierarchical state aggregation. The existing QoS multicast routing algorithms do not provide satisfactory performance with imprecise state information. We propose a distributed QoS multicast routing scheme based on traffic lights, called QMRI algorithm, which can probe multiple feasible tree branches, and select the optimal or near-optimal branch through the UR or TL mode for constructing a multicast tree with QoS guarantees if it exists. The scheme is designed to work with imprecise state information. The proposed algorithm considers not only the QoS requirements but also the cost optimality of the multicast tree. The correctness proof and the complexity analysis about the QMRI algorithm are also given. In addition, we develop NS2 so that it is able to simulate the imprecise network state information. Extensive simulations show that our algorithm achieves high call-admission ratio and low-cost multicast trees with modest message overhead.

关键词： quality-of-service muting multicast imprecise state traffic lights simulation.

QoS-Aware Energy-Efficient Task Scheduling on HPC Cloud Infrastructures Using Swarm-Intelligence Meta-Heuristics

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Computers, Materials & Continua 2020年第8期64卷 813-834页

作者： Amit Chhabra Gurvinder Singh Karanjeet Singh Kahlon Department of Computer Engineering&Technology Guru Nanak Dev UniversityAmritsar143005India Department of Computer Science Guru Nanak Dev UniversityAmritsar143005India

Cloud computing infrastructure has been evolving as a cost-effective platform for providing computational resources in the form of high-performance computing as a service(HPCaaS)to users for executing HPC ***,the broader use of the Cloud services,the rapid increase in the size,and the capacity of Cloud data centers bring a remarkable rise in energy consumption leading to a significant rise in the system provider expenses and carbon emissions in the *** this,users have become more demanding in terms of quality-of-service(QoS)expectations in terms of execution time,budget cost,utilization,and *** situation calls for the design of task scheduling policy,which ensures efficient task sequencing and allocation of computing resources to tasks to meet the trade-off between QoS promises and service provider ***,the task scheduling in the Cloud is a prevalent NP-Hard *** by these concerns,this paper introduces and implements a QoS-aware Energy-Efficient Scheduling policy called as CSPSO,for scheduling tasks in Cloud systems to reduce the energy consumption of cloud resources and minimize the makespan of *** proposed multi-objective CSPSO policy hybridizes the search qualities of two robust metaheuristics *** search(CS)and particle swarm optimization(PSO)to overcome the slow convergence and lack of diversity of standard CS algorithm.A fitness-aware resource allocation(FARA)heuristic was developed and used by the proposed policy to allocate resources to tasks efficiently.A velocity update mechanism for cuckoo individuals is designed and incorporated in the proposed CSPSO ***,the proposed scheduling policy has been implemented in the CloudSim simulator and tested with real supercomputing workload *** comparative analysis validated that the proposed scheduling policy can produce efficient schedules with better performance over other well-known heuristics and meta-heuristic

关键词： HPC-as-a-service task scheduling quality-of-service meta-heuristics and energy-efficiency