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resource optimization in wireless powered cooperative mobile edge computing systems

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Science China(Information Sciences) 2021年第8期64卷 56-65页

作者： Qibin YE Weidang LU Su HU Xiaohan XU National Key Laboratory on Communications University of Electronic Science and Technology of China College of Information Engineering Zhejiang University of Technology

Mobile edge computing(MEC) meets the high-bandwidth and ultra-low-latency requirements of mobile networks and improves communication reliability by reducing the networks’ load. In this study, we study a wireless powered MEC system, which includes an access point(AP) and two mobile devices. The endurance of mobile devices can be effectively enhanced using the wireless power transfer technology and user cooperation. However, during user cooperation, a closer user assists a farther user with forwarding tasks by sharing the same bandwidth, which causes interference. To overcome the interference issue, the closer user can instead assist other users in forwarding tasks by using a different bandwidth. We aim to minimize the power of the AP by joint power and bandwidth optimization while satisfying the delay and users’ computational tasks. Simulation results show that the proposed user collaboration method can overcome user interference,reduce energy consumption, and improve user performance compared with the baseline policies.

关键词： mobile edge computing user cooperation wireless power transfer energy consumption resource management

SOCA-DOM:A Mobile System-on-Chip Array System for Analyzing Big Data on the Move

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Journal of Computer Science & Technology 2022年第6期37卷 1271-1289页

作者： Le-Le Li Jiang-Yi Liu Jian-Ping Fan Xue-Hai Qian Kai Hwang Yeh-Ching Chung Zhi-Bin Yu Center for Heterogeneous and Intelligent Computing Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China School of Science and Engineering The Chinese University of Hong KongShenzhenShenzhen 518172China Center for High Performance Computing Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen 518055China Ming Hsieh Department of Electrical and Computer Engineering University of Southern CaliforniaLos Angeles CA 90089-0001U.S.A. Department of Computer Science University of Southern CaliforniaLos AngelesCA 90089-0001U.S.A. School of Data and Science The Chinese University of Hong KongShenzhenShenzhen 518172China

Recently,analyzing big data on the move is *** requires that the hardware resource should be low volume,low power,light in weight,high-performance,and highly scalable whereas the management software should be flexible and consume little hardware *** meet these requirements,we present a system named SOCA-DOM that encompasses a mobile system-on-chip array architecture and a two-tier“software-defined”resource manager named ***,we design an Ethernet communication board to support an array of mobile ***,we propose a two-tier software architecture for Chameleon to make it ***,we devise data,configuration,and control planes for Chameleon to make it“software-defined”and in turn consume hardware resources on ***,we design an accurate synthetic metric that represents the computational power of a computing *** employ 12 Apache Spark benchmarks to evaluate ***,SOCA-DOM consumes up to 9.4x less CPU resources and 13.5x less memory than Mesos which is an existing resource *** addition,we show that a 16-node SOCA-DOM consumes up to 4x less energy than two standard Xeon *** on the results,we conclude that an array architecture with fine-grained hardware resources and a software-defined resource manager works well for analyzing big data on the move.

关键词： edge computing mobile architecture resource management big data analytics software-defined systems

IO dependent SSD cache allocation for elastic Hadoop applications

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Science China(Information Sciences) 2018年第5期61卷 55-71页

作者： Zhen TANG Wei WANG Lei SUN Yu HUANG Heng WU Jun WEI Tao HUANG State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences

Elastic Hadoop applications consisting of multiple virtual machines(VMs) are widely used to support big data analysis and processing. In this scenario, flash-based solid state drive(SSD) is usually deployed on hypervisors and used as the cache to improve the IO performance. However, existing SSD caching schemes are mostly VM-centric, which focus on the low-level IO performance metrics of individual VMs. They may not lead to the optimized performance of elastic Hadoop applications, i.e., the job completion time(JCT), as the importance of VMs inside the application are different even though they have the similar low-level IO patterns. Considering the IO dependency among VMs and figuring out the importance, which we regard as the application-centric metrics, may potentially better improve the performance. We present IO dependency based requirement model, to characterize the requirement of SSD cache for each VM inside the elastic Hadoop application, and then use it in a genetic algorithm(GA) based approach to calculate the nearly optimal weights of VMs for allocating the per-VM SSD cache space and the capacity of the I/O operations per second(IOPS). Furthermore, we present a tool AC-SSD based on the approach and introduce the closed-loop adaptation to react to continuously changing workloads. The evaluation shows that by using AC-SSD, the JCT is reduced by up to 39% for IO sensitive workloads, up to 29% for continuously changing workloads, and over 12.5% for different scale of data comparing to the shared cache.

关键词： Hadoop SSD cache resource management virtualization

Design and Implementation of NAREGI SuperScheduler Based on the OGSA Architecture

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Journal of Computer Science & Technology 2006年第4期21卷 521-528页

作者： Satoshi Matsuoka Masayuki Hatanaka Yasumasa Nakano Yuji Iguchi Toshio Ohno Kazushige Saga Hidemoto Nakada Global Scientific Information and Computing Center Tokyo Institute of Technology 2-12-10okayama Meguro-ku Tokyo 152-8550 Japan Center for Grid Research and Development National Institute of Informatics 1-105 Kanda-Jinbocho Chiyoda-ku Tokyo 101-0051 Japan Linux Software Development Div. Server Systems Unit. Fujitsu Limited 130 Miyamoto Numazu-shi Shizuoka410-0396 Japan Grid Technology Research Center National Institute of Advanced Industrial Science and Technology 1-18-13 Sotokanda Chiyoda-ku Tokyo 101-0021 Japan

NAREGI is a 5-year Japanese National Grid Project during 2003--2007, whose chief aim is to develop a set of grid middleware to serve as a basis for future e-Science. NAREGI also aims to lead the way in standardization of grid middleware, based on the OGSA architecture. Its super-scheduler is based on the proposed OGSA-EMS Architecture, in that it becomes the first working implementation that implements the documented component relationships within the OGSA-EMS architecture document v.l.0. Through the efforts and experience in the design and implementation, it has been confirmed that the documented OGSA-EMS architecture is quite feasible, but will require significant amount of refinement and speed improvements to finalize its detailed specifications. The super-scheduler also supports co-allocation across multiple sites to support automated execution of grid-based MPIs that execute across machines. Such a resource allocation requires sophisticated interactions between the OGSA-EMS components not covered in the current OGSA-EMS architecture, some of which are non-trivial. Overall, job scheduling with OGSA-EMS has proven to not only work, but also that its job allocation and execution time is within reasonable bounds.

关键词： grid scheduling resource management open grid services architecture OGSA

resource investment for DDoS attack resistant SDN: a practical assessment

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Science China(Information Sciences) 2023年第7期66卷 112-129页

作者： Bin YUAN Fan ZHANG Jun WAN Huan ZHAO Shui YU Deqing ZOU Qiangsheng HUA Hai JIN School of Cyber Science and Engineering Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Shenzhen Huazhong University of Science and Technology Research Institute School of Computer Science and Technology Huazhong University of Science and Technology Cluster and Grid Computing Lab School of Computer Science University of Technology Sydney

Software-defined networks(SDNs) present a novel network architecture that is widely used in various datacenters. However, SDNs also suffer from many types of security threats, among which a distributed denial of service(DDoS) attack, which aims to drain the resources of SDN switches and controllers,is one of the most common. Once the switch or controller is damaged, the network services can be *** defense schemes against DDoS attacks have been proposed from the perspective of attack detection;however, such defense schemes are known to suffer from a time consuming and unpromising accuracy, which could result in an unavailable network service before specific countermeasures are taken. To address this issue through a systematic investigation, we propose an elaborate resource-management mechanism against DDoS attacks in an SDN. Specifically, by considering the SDN topology, we leverage the M/M/c queuing model to measure the resistance of an SDN to DDoS attacks. Network administrators can therefore invest a reasonable number of resources into SDN switches and SDN controllers to defend against DDoS attacks while guaranteeing the quality of service(QoS). Comprehensive analyses and empirical data-based experiments demonstrate the effectiveness of the proposed approach.

关键词： SDN security DDoS attacks resource management queueing theory QoS

A Survey: FPGA-Based Dynamic Scheduling of Hardware Tasks

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Chinese Journal of Electronics 2021年第6期30卷 991-1007页

作者： LI Tianyang ZHANG Fan GUO Wei SUN Mingqian CHEN Li PLA Strategic Support Force Information Engineering University National Digital Switching System Engineering and Technological R&D Center Southeast University

To meet the increasing computing needs of various application fields, Field programmable gate array(FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appropriate computing resources. Therefore,FPGA-based hardware task scheduling has become one of the mainstream research directions in academia and industry. However, the optimization objectives of existing FPGA-based hardware task scheduling methods are relatively scattered. In this regard, this paper summarizes the research status of hardware task dynamic scheduling from the three essential elements of FPGA processing: time, resources, and power *** paper analyzes, sorts out, categorizes the ideas and implementations of various scheduling methods and analyzes and evaluates optimization effects of various scheduling methods from multiple dimensions. Then, the shortcomings of the existing methods are summarized and some practical applications are introduced. Finally, the research direction of task scheduling based on FPGA is prospected and summarized.

关键词： Logic circuits Optimisation techniques Logic and switching circuits Optimisation techniques Field programmable gate array Task scheduling Optimization resource management Dynamic reconfiguration

6G Service Coverage with Mega Satellite Constellations

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China Communications 2022年第1期19卷 64-76页

作者： Min Sheng Di Zhou Weigang Bai Junyu Liu Jiandong Li State Key Laboratory of Integrated Service Networks Xidian UniversityXi’anShaanxi710071China

The rapid development and continuous updating of the mega satellite constellation(MSC)have brought new visions for the future 6G coverage extension, where the global seamless signal coverage can realize ubiquitous services for user terminals. However, global traffic demands present nonuniform characteristics. Therefore, how to ensure the on-demand service coverage for the specific traffic demand, i.e., the ratio of traffic density to service requirement per unit area, is the core issue of 6G wireless coverage extension exploiting the MSC. To this regard, this paper first discusses the open challenges to reveal the future direction of 6G wireless coverage extension from the perspective of key factors affecting service coverage performance, i.e., the network access capacity, space segment capacity and their matchingrelationship. Furthermore, we elaborate on the key factors affecting effective matchings of the aforementioned aspects, thereby improving service coverage capability.

关键词： 6G mega satellite constellations on-demand service coverage un-uniform traffic demands resource management

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A review of science–policy interface for water governance in the Caspian Sea

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干旱区科学:英文版 2023年第10期15卷 1143-1159页

作者： Apoorva BAMAL Sogol MORADIAN Ali TORABI-HAGHIGHI Agnieszka INDIANA-OLBERT College of Science and Engineering University of GalwayGalway H91 TK33Ireland Ryan Institute University of GalwayGalway H91 TK33Ireland MaREI Research Centre University of GalwayGalway H91 TK33Ireland Eco-HydroInformatics Research Group(EHIRG) Civil EngineeringNational University of Ireland GalwayGalway H91 TK33Ireland Water Energy and Environmental Engineering Research Unit University of OuluOulu FI-90014Finland

Science and policy have been interlinked for decades and perform essential nexus conditions in the governing aspects of environmental *** review paper examines the present challenges in the science–policy interface in terms of water governance in the Caspian Sea and identifies effective conditions that may be used in the current context to enhance the *** evaluation of the science–policy link in the water policy of the Caspian Sea reveals a gap between knowledge producer and governance system,impeding the translation of scientific information into *** and context-dependent solutions make it challenging to establish effective science–policy processes in the Caspian Sea water governance *** a common governing authority,implementing water and resource management regulations,and protecting the natural environment through legal frameworks are crucial steps to address these concerns and ensure sustainable *** among coastal states is essential in environmental,economic,and social aspects of regional ***,the lack of a comprehensive approach,coherent activities,and effective utilization of national and regional power has hindered efforts to halt the environmental degradation of the Caspian *** governments need to recognize their responsibility to protect and utilize the Caspian Sea for present and future generations,considering both environmental and human *** interlinkage of the Caspian Sea water governance with the Organization for Economic Co-operation and Development(OECD)water governance principles offers a framework for policymakers to assess gaps and make necessary amendments to existing *** science–policy interaction,engagement of diverse stakeholders,institutionalizing agreements,and addressing collective action issues are critical for successful water governance.

关键词： resource management Organization for Economic Co-operation and Development water security water governance principle Caspian Sea

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Investigating and Modelling of Task Offloading Latency in Edge-Cloud Environment

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Computers, Materials & Continua 2021年第9期68卷 4143-4160页

作者： Jaber Almutairi Mohammad Aldossary Department of Computer Science College of Computer Science and EngineeringTaibah UniversityAl-MadinahSaudi Arabia Department of Computer Science College of Arts and SciencePrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia

Recently,the number of Internet of Things(IoT)devices connected to the Internet has increased dramatically as well as the data produced by these *** would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud ***,different service architecture and offloading strategies have a different impact on the service time performance of IoT ***,this paper presents an Edge-Cloud system architecture that supports scheduling offloading tasks of IoT applications in order to minimize the enormous amount of transmitting data in the ***,it introduces the offloading latency models to investigate the delay of different offloading scenarios/schemes and explores the effect of computational and communication demand on each one.A series of experiments conducted on an EdgeCloudSim show that different offloading decisions within the Edge-Cloud system can lead to various service times due to the computational resources and communications ***,this paper presents a comprehensive review of the current state-of-the-art research on task offloading issues in the Edge-Cloud environment.

关键词： Edge-cloud computing resource management latency models scheduling task offloading internet of things