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26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Chen, Chen Zhu, Jie Huang, Haiping Gao, Yingmeng Nanjing University of Posts & Telecommunications Nanjing210003 China Institute of Computing Technology Academy of Sciences State Key Laboratory Chinese of Computer Architecture Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9798350331684

The resource-constrained task scheduling problem has been one of the popular research topics in cloud computing systems. By employing the dynamic voltage and frequency scaling (DVFS) techniques, the task scheduling can be further constrained by energy consumption. The paper investigates the DAG task scheduling considering both the resource and energy constraints in heterogeneous distributed systems. The objective is to minimize the scheduling length. An energy-constrained task scheduling framework is employed, where tasks are initially scheduled according to their upward rank values. Then two heuristics are proposed to improve the initial solution, namely, the simulated annealing local search method and the frequency adjustment method. Experiments are conducted by testing a large number of instances with multiple parameter settings, and the results show that the proposed algorithms are effective and efficient. © 2023 IEEE.

关键词： Energy utilization

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Vehicular Computation Offloading in UAV-enabled MEC Systems 25

Vehicular Computation Offloading in UAV-enabled MEC Systems

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： Wang, Junfeng Feng, Dayu Zhu, Jie Huang, Haiping Nanjing University of Posts and Telecommunications Nanjing210003 China Institute of Computing Technology Chinese Academy of Sciences State Key Laboratory Chinese of Computer Architecture Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9781665405270

The UAV-enable Mobile Edge Computing (MEC) systems and Vehicular Ad-hoc Network (VANET)-supported applications are very popular topics these days. The paper considers the vehicular task offloading problems for the Software-Defined Vehicular Network (SDVN)-supported services in the UAV-enabled MEC system. In the considered problem, one UAV and one edge server (ES) are provisioned for the workload from the moving vehicles in a certain region. For each vehicle in the region, it would periodically submit requests to the UAV-enable MEC system until it leaves the region. Each request will be taken as a computation task and could be offloaded locally on the vehicle, the UAV, or the ES. Multiple communication and energy consumption models are employed to formulate the problem model. The objectives are to minimize the total time delays and the energy consumption. A greedy heuristic based dynamic scheduling framework is proposed for the problem under study. Simulated experiments are delicately designed with dynamic traffics, various road and building distributions. Experimental results show that the proposal is more effective than the compared algorithm. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Experimental investigation of multi-wavelength clock recovery based on a quantum-dot SOA at 40 Gb/s

Experimental investigation of multi-wavelength clock recover...

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Signal Processing in Photonic Communications, SPPCom 2010

作者： Spyropoulou, M. Bonk, R. Hillerkuss, D. Pleros, N. Vallaitis, T. Freude, W. Tomkos, I. Leuthold, J. Aristotle University of Thessaloniki Department of Informatics Computer Architecture and Communications Laboratory Thessaloniki 54142 Greece Institute of Photonics and Quantum Electronics Karlsruhe Institute of Technology Engesserstr. 5 76131 Karlsruhe Germany Athens Information Technology High speed networks and optical communications Markopoulou Av. 19002 Peania-Attica Greece

We study single and multi-wavelength clock recovery functionality based on a fabry-pérot filter followed by a quantum-dot SOA at 40 Gb/s and we demonstrate its performance for various pseudo-random binary sequenc... 详细信息

ISBN: (纸本)9781557528964

关键词： Nanocrystals

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An Efficient Pricing Based Protocol for Broadcasting in Wireless Ad hoc networks

An Efficient Pricing Based Protocol for Broadcasting in Wire...

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International Conference on Communication Systems Software and Middleware (COMSWARE)

作者： N.R. Suri Y. Narahari D. Manjunath Department of Computer Science and Automation Indian Institute of Science Bangalore India Networks Architecture Laboratory Electrical and Communications Engineering Indian Institute of Science Bangalore India

In many applications of wireless ad hoc networks, wireless nodes are owned by rational and intelligent users. In this paper, we call nodes selfish if they are owned by independent users and their only objective is to maximize their individual goals. In such situations, it may not be possible to use the existing protocols for wireless ad hoc networks as these protocols assume that nodes follow the prescribed protocol without deviation. Stimulating cooperation among these nodes is an interesting and challenging problem. Providing incentives and pricing the transactions are well known approaches to stimulate cooperation. In this paper, we present a game theoretic framework for truthful broadcast protocol and strategy proof pricing mechanism called immediate predecessor node pricing mechanism (IPNPM). The phrase strategy proof here means that truth revelation of cost is a weakly dominant-strategy (in game theoretic terms) for each node. In order to steer our mechanism-design approach towards practical implementation, we compute the payments to nodes using a distributed algorithm. We also propose a new protocol for broadcast in wireless ad hoc network with selfish nodes based on IPNPM. The features of the proposed broadcast protocol are reliability and a significantly reduced number of packet forwards compared to the number of network nodes, which in turn leads to less system-wide power consumption to broadcast a single packet. Our simulation results show the efficacy of the proposed broadcast protocol

关键词： Pricing Wireless application protocol Broadcasting Mobile ad hoc networks Game theory Power system reliability Intelligent networks Costs Distributed computing Distributed algorithms

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Automating Composite SLA Management Tasks by Exploiting Service Dependency Information

Automating Composite SLA Management Tasks by Exploiting Serv...

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European Conference on Web Services (ECOWS)

作者： Matthias Winkler Thomas Springer Alexander Schill SAP Research CEC Dresden SAP AG Dresden Germany Faculty of Computer Science Institute of Systems Architecture Computer Networks Group Technical University of Dresden Dresden Germany

According to the Internet of Services vision, composite services are created by composing services to complex business processes. The relationships between services in a composition are defined by Service Level Agreements (SLAs). Managing composite SLAs is a complex task which is currently performed manually. In this paper we present an approach for automating the management of composite SLAs by exploiting the explicit knowledge about dependencies between composed services. We define a formal model for representing a set of dependencies. A set of algorithms exploits this information to automate tasks of composite SLA management. These tasks are the validation of SLAs during negotiation, the evaluation of SLA renegotiation requests and the evaluation of SLA violations with regard to their effects on other services. We have validated our approach based on a logistics scenario. We present results with respect to performance and a set of test cases demonstrating the added value of dependency information based automated SLA management.

关键词： Quality of service Logistics Contracts Monitoring Adaptation model Internet

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Design and Implementation of QoS Management and the Reduction of Evaluation Indexes

Design and Implementation of QoS Management and the Reductio...

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International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Haping Zhu Yunlan Wang Zengzhi Li Hong Xia Institute of Computer Architecture and Networks Xi'an Jiaotong University Xi'an China Center for High Performance Computing Northwestern Polytechnical University Xi'an China

The basic purpose of QoS management is to provide differentiated services and quality guarantee for users. Then how to evaluate the services provided by the system is very important. In the paper, a multi-level QoS management and evaluation architecture for network services is proposed, which supported adjustable selection and reconfiguration of QoS evaluation indexes. With the number of evaluation indexes increasing, eliminating the correlation between indexes is a key issue before QoS evaluation. Reference to Dijkstra shortest path algorithm, a dynamic index reduction algorithm is proposed. To eliminate the correlation of synthetic indexes is to get a set of indexes which the correlation degree is minimum. Examples show that the more indexes, the more efficient the dynamic algorithm can be.

关键词： Quality of service computer network management Heuristic algorithms Partitioning algorithms Knowledge management Quality management computer architecture Knowledge acquisition High performance computing Source separation

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Improving QoS of web service composition by dynamic configuration

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Information Technology Journal 2010年第3期9卷 422-429页

作者： Yang, Huaizhou Li, Zengzhi Institute of Computer Architecture and Networks Xi'an Jiaotong University Xi'an 710049 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China

In order to achieve self-adaptation to run-time environment and self-management of Web service composition, an extended hierarchical Petri net is presented to reflect the feasible configuration scheme of composite service. Being different from related works, the dynamic configuration scheme and execution process of Web service composition can be reflected together in the extended model. Furthermore, a rapid QoS calculation strategy of composite service is presented. Some important QoS calculation formulas are presented and proved. Based on the extended model and the QoS calculation strategy, a configuration with optimal QoS can be selected dynamically. The QoS of composite service is improved. The soundness and correctness of the dynamic configuration method are proved by simulation results and corresponding analysis. © 2010 Asian Network for Scientific Information.

关键词： Petri nets

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Extended GSPN modeling and reduction algorithms for rapid performance analysis of service composition system

Extended GSPN modeling and reduction algorithms for rapid pe...

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IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Huaizhou Yang Zengzhi Li State Key Laboratory of Networking and Switching Beijing University of Posts and Telecommunications Beijing China Institute of Computer Architecture & Networks Xi''an Jiaotong University Xi'an China

ISBN: (纸本)9781424447374;9781424447541

A service composition system can be constructed via integration and collaboration of many component services. The system performance needs to be obtained rapidly for the purpose of dynamic and adaptive management. An EGSPN (extended generalized stochastic Petri net) model is presented to reflect the service composition system with complex timing constraints in a compact and comprehensible manner. The various categories of timing constraints are associated to place, transition and arc of EGSPN respectively. Furthermore, in order to accelerate the calculation of system performance and to avoid the explosion of state space, a set of model reduction rules are presented. The corresponding reduction algorithms are designed to achieve automatic model reduction. The experiments based on multiform models indicate that a large model can be reduced within satisfying period. The algorithms can help to make rapid performance analysis of service composition system.

关键词： Performance analysis System performance Timing Reduced order systems Collaboration Stochastic systems Acceleration Explosions State-space methods Algorithm design and analysis

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An Adaptive UAV Scheduling Process to Address Dynamic Mobile Network Demand Efficiently

An Adaptive UAV Scheduling Process to Address Dynamic Mobile...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Ruide Cao Jiao Ye Jin Zhang Qian You Chao Tang Yan Liu Yi Wang Institute of Future Networks DET of Heyuan School of Architecture and Urban Planning SZU Department of Computer Science and Engineering Peng Cheng Laboratory School of Design SUSTech

ISBN: (数字)9783981926385

ISBN: (纸本)9798350348606

Benefiting from high flexibility and probability of line-of-sight, deploying unmanned aerial vehicles (UAV s) as aerial access points has emerged as a promising solution for ensuring reliable wireless connectivity in crowded events. This paper introduces a UAV scheduling process adaptive to dynamic mobile network demand, including three phases. In the sensing phase, the user distribution is sensed, and user number thresholds are set to determine whether UAV assistance is needed. The planning phase presents an enhanced mean shift algorithm to find suitable locations to deploy UAVs with a dynamic bandwidth derived from the user distribution, the UAV's maximum capacity, and the UAV's maximum throughput. The deploying phase dispatches and recalls UAV s based on planning results. Comprehensive simulation experiments are conducted on OMNeT ++ using real-world data. Results show that the proposed process shows great adaptivity, with an efficiency increase of 18.7% and a fairness increase of 28.9 % compared to the existing related works on average.

关键词： Adaptive scheduling Adaptive systems Heuristic algorithms Bandwidth Autonomous aerial vehicles Dynamic scheduling Throughput

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Latency-aware Partial Task Offloading in Collaborative Edge Computing 26

Latency-aware Partial Task Offloading in Collaborative Edge ...

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26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Gao, Yingmeng Zhu, Jie Huang, Haiping Chen, Chen Nanjing University of Posts & Telecommunications Nanjing210003 China Academy of Sciences State Key Laboratory Chinese of Computer Architecture Institute of Computing Technology Beijing100864 China Jiangsu High Technology Reasearch Key Laboratory of Wireless Sensor Networks Nanjing210023 China Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350331684

When it comes to the fifth generation, collaborative edge computing is preferred for offloading computation-intensive tasks of low-latency applications in Internet of Things. In this paper, we consider the partial task offloading problem where tasks can be divided into subtasks and offloaded to nearby devices. The flow scheduling problem is integrated in the offloading process, i.e., multiple and conflicting route paths are considered. We propose the latency-aware partial task offloading framework (LaPTOF) for the considered problem. LaPTOF integrates a weighted priority ranking strategy (WPRS) which generates multiple solutions with different weights on task arrival time and the task processing time. A feasible solution generation method (FSGM) is designed where the best offloaded proportion of tasks are computed, and the appropriate offloaded devices and offload paths are determined. The proposed LaPTOF has an advantage in providing a scheduling plan that minimizes total completion time of task offloading in a shorter duration. The experimental results show that the proposal is suitable for the considered problem compared with JPOFH and its variants on both effectiveness and efficiency. © 2023 IEEE.

关键词： Internet of things

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