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3rd IEEE/ACM Symposium on Edge Computing (SEC)

作者： Trimananda, Rahmadi Younis, Ali Wang, Bojun Xu, Bin Demsky, Brian Xu, Guoqing Univ Calif Irvine Irvine CA 92717 USA Univ Calif Los Angeles Los Angeles CA 90024 USA

ISBN: (纸本)9781538694459

Smart home IoT devices are becoming increasingly popular. Modern programmable smart home hubs such as SmartThings enable homeowners to manage devices in sophisticated ways to save energy, improve security, and provide conveniences. Unfortunately, many smart home systems contain vulnerabilities, potentially impacting home security and privacy. This paper presents Vigilia, a system that shrinks the attack surface of smart home IoT systems by restricting the network access of devices. As existing smart home systems are closed, we have created an open implementation of a similar programming and configuration model in Vigilia and extended the execution environment to maximally restrict communications by instantiating device-based network permissions. We have implemented and compared Vigilia with forefront IoT-defense systems;our results demonstrate that Vigilia outper-forms these systems and incurs negligible overhead.

关键词： smart home security privacy programming model

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Enabling GPU Support for the COMPSs-Mobile Framework 4th

Enabling GPU Support for the COMPSs-Mobile Framework

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4th International Workshop on Accelerator programming Using Directives (WACCPD)

作者： Lordan, Francesc Badia, Rosa M. Hwu, Wen-Mei Barcelona Supercomp Ctr BSC CNS Dept Comp Sci Barcelona Spain UPC Dept Comp Architecture Barcelona Spain CSIC Artificial Intelligence Res Inst Barcelona Spain UIUC Coordinated Sci Lab Urbana IL USA

ISBN: (纸本)9783319748962;9783319748955

Using the GPUs embedded in mobile devices allows for increasing the performance of the applications running on them while reducing the energy consumption of their execution. This article presents a task-based solution for adaptative, collaborative heterogeneous computing on mobile cloud environments. To implement our proposal, we extend the COMPSs-Mobile framework - an implementation of the COMPSs programming model for building mobile applications that offload part of the computation to the Cloud - to support offloading computation to GPUs through OpenCL. To evaluate our solution, we subject the prototype to three benchmark applications representing different application patterns.

关键词： programming model Heterogeneous computing Collaborative computing GPGPU OpenCL Mobile cloud computing Android

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Remote Procedure Calls for Improved Data Locality with the Epiphany Architecture 18th

Remote Procedure Calls for Improved Data Locality with the E...

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18th International Conference on Computational Science (ICCS)

作者： Ross, James A. Richie, David A. US Army Res Lab Aberdeen Proving Ground MD 21005 USA Brown Deer Technol Forest Hill MD 21050 USA

ISBN: (纸本)9783319937137;9783319937120

This paper describes the software implementation of an emerging parallel programming model for partitioned global address space (PGAS) architectures. Applications with irregular memory access to distributed memory do not perform well on conventional symmetric multiprocessing (SMP) architectures with hierarchical caches. Such applications tend to scale with the number of memory interfaces and corresponding memory access latency. Using a remote procedure call (RPC) technique, these applications may see reduced latency and higher throughput compared to remote memory access or explicit message passing. The software implementation of a remote procedure call method detailed in the paper is designed for the low-power Adapteva Epiphany architecture.

关键词： Remote procedure call (RPC) Network-on-chip (NoC) Distributed computing Partitioned global address space (PGAS) programming model

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An Approach for Group Decision Making With Interval Fuzzy Preference Relations Based on Additive Consistency and Consensus Analysis

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2017年第8期47卷 2069-2082页

作者： Meng, Fan-Yong An, Qing-Xian Tan, Chun-Qiao Chen, Xiao-Hong Nanjing Audit Univ Sch Int Audit Nanjing 211815 Jiangsu Peoples R China Cent S Univ Sch Business Changsha 410083 Hunan Peoples R China Univ Technol Troyes Ind Syst Optimizat Lab Charles Delaunay Inst UMR CNRS 6281 F-10004 Troyes France Hunan Univ Commerce Sch Accounting Changsha 410205 Hunan Peoples R China

Interval fuzzy preference relations (IFPRs) that can simply denote the lower and upper bounds of decision makers' uncertain judgments are keenly studied by researchers and are widely used in practical decision-making problems. Consistency analysis is vitally important to avoid illogical ranking orders. First, this paper analyzes issues in previous additive consistency concepts for IFPRs. Then, it presents a new additive consistency definition that overcomes issues in previous ones. A linear programming model to judge the additive consistency of IFPRs is constructed, and a method to derive additive consistent IFPRs is proposed. Furthermore, a goal programming model to determine missing values in an incomplete IFPR is built, which have the highest consistent level with respect to known values. Regarding group decision making, a group consensus index is defined to measure the consensus of individual IFPRs, and an approach to improve the consensus level is introduced. Finally, a method for group decision making with IFPRs is developed, which can address incomplete and inconsistent cases. Associated examples are given to show the efficiency and feasibility of the developed theoretical results and comparative analysis is made.

关键词： Additive consistency decision making group consensus interval fuzzy preference relation programming model

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A new multiplicative consistency based method for decision making with triangular fuzzy reciprocal preference relations

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FUZZY SETS AND SYSTEMS 2017年 315卷 1-25页

作者： Meng, Fanyong Lin, Jian Tan, Chunqiao Zhang, Qiang Nanjing Audit Univ Sch Int Audit Nanjing 211815 Jiangsu Peoples R China Cent S Univ Sch Business 932 South Lushan Rd Changsha 410083 Hunan Peoples R China Fujian Agr & Forestry Univ Coll Comp & Informat Fuzhou 350002 Peoples R China Beijing Inst Technol Sch Management & Econ Beijing 100081 Peoples R China

Triangular fuzzy reciprocal preference relations (TFRPRs) are good choices to denote the decision makers' fuzzy preferences. Consistency analysis is a very important topic to preference relations that can avoid the illogical ranking order. However, all previous multiplicative consistency concepts for TFRPRs cannot well address this type of preference relations. To address this issue, this paper introduces a new multiplicative consistency concept for TFRPRs, which can be seen as a natural extension of Tanino's multiplicative consistency concept for reciprocal preference relations. Based on the new consistency concept, 0-1 mixed' programming models for judging the multiplicative consistency of TFRPRs are constructed, and an approach for deriving multiplicative consistent TFRPRs is provided. Considering the incomplete case, programming models to determine missing values ate constructed. Subsequently, a multiplicative consistency based method for decision making with TFRPRs is presented that can address the inconsistent and incomplete cases. Meanwhile, illustrative examples are provided to show the concrete application of the proposed procedure, and comparison analysis is also made. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Decision analysis TFRPR Quasi TFRPR Consistency analysis programming model

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The AXIOM platform for next-generation cyber physical systems

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MICROPROCESSORS AND MICROSYSTEMS 2017年 52卷 540-555页

作者： Theodoropoulos, Dimitris Mazumdar, Somnath Ayguade, Eduard Bettin, Nicola Bueno, Javier Ermini, Sara Filgueras, Antonio Jimenez-Gonzalez, Daniel Alvarez Martinez, Carlos Martorell, Xavier Montefoschi, Francesco Oro, David Pnevmatikatos, Dionisis Rizzo, Antonio Gai, Paolo Garzarella, Stefano Morelli, Bruno Pomella, Alberto Giorgi, Roberto Fdn Res & Technol Hellas FORTH Inst Comp Sci Iraklion Greece Univ Siena Dipartimento Ingn Informaz & Sci Matemat Siena Italy BSC Barcelona Spain VIMAR SpA Marostica Marostica Italy Univ Siena Dipartimento Sci Sociali Polit & Cognit Siena Italy Univ Politecn Cataluna Comp Architecture Dept Barcelona Spain Herta Secur Barcelona Barcelona Spain Tech Univ Crete Sch ECE Khania Greece Evidence Srl San Giuliano Terme Italy

Cyber-Physical Systems (CPSs) are widely used in many applications that require interactions between humans and their physical environment. These systems usually integrate a set of hardware-software components for optimal application execution in terms of performance and energy consumption. The AXIOM project (Agile, eXtensible, fast I/O Module), presented in this paper, proposes a hardware-software platform for CPS coupled with an easy parallel programming model and sufficient connectivity so that the performance can scale-up by adding multiple boards. AXIOM supports a task-based programming model based on OmpSs and leverages a high-speed, inexpensive communication interface called AXIOM-Link. The board also tightly couples the CPU with reconfigurable resources to accelerate portions of the applications. As case studies, AXIOM uses smart video surveillance, and smart home living applications. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Cyber-physical systems Distributed shared memory programming model Performance evaluation Reconfigurable Smart video surveillance Smart home living

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IOTSim: A simulator for analysing IoT applications

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JOURNAL OF SYSTEMS ARCHITECTURE 2017年 72卷 93-107页

作者： Zeng, Xuezhi Garg, Saurabh Kumar Strazdins, Peter Jayaraman, Prem Prakash Georgakopoulos, Dimitrios Ranjan, Rajiv Australian Natl Univ Res Sch Comp Sci Canberra ACT 2914 Australia Univ Tasmania Hobart Tas 7001 Australia RMIT Melbourne Vic Australia Newcastle Univ Newcastle Upon Tyne Tyne & Wear England

A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (loT) applications are considered to be a major source of big data. Such loT applications are in general supported through clouds where data is stored and processed by big data processing systems. In order to improve the efficiency of cloud infrastructure so that they can efficiently support loT big data applications, it is important to understand how these applications and the corresponding big data processing systems will perform in cloud computing environments. However, given the scalability and complex requirements of big data processing system5, an empirical evaluation on actual cloud infrastructure can hinder the development of timely and cost effective loT solutions. Therefore, a simulator supporting MT applications in cloud environment is highly demanded, but such work is still in its infancy. To fill this gap, we have designed and implemented IOTSim which supports and enables simulation of loT big data processing using MapReduce model in cloud computing environment. A real case study validates the efficacy of the simulator. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Internet of things (Iot) Big data Mapreduce Cloud computing programming model modelling and simulation

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Multiplicative consistency analysis for interval fuzzy preference relations: A comparative study

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OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2017年 68卷 17-38页

作者： Meng, Fanyong Tan, Chunqiao Chen, Xiaohong Nanjing Audit Univ Sch Int Audit Nanjing 2111815 Jiangsu Peoples R China Cent S Univ Sch Business 932 South Lushan Rd Changsha 410083 Hunan Peoples R China Hunan Univ Commerce Sch Accounting Changsha 410205 Hunan Peoples R China

To examine the multiplicative consistency of interval fuzzy preference relations (IFPRs), this paper first analyzes the limitations associated with the previous consistency concepts. Accordingly, a new consistency concept is defined that is an extension of the crisp case and overcomes limitations in the previous concepts. Next, a linear programming model to judge the consistency of IFPRs is constructed, and an approach to derive multiplicative consistent IFPRs is introduced. Furthermore, goal-programming models to determine missing values in an incomplete IFPR are constructed that have the highest consistent level with respect to known values. Moreover, a multiplicative consistency and consensus based method for group decision making with IFPRs is developed that can address incomplete and inconsistent cases. Finally, two practical decision-making problems are offered to demonstrate the feasibility and efficiency of the new method, and an analysis of a numerical and theoretical comparison with several related methods is performed. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Decision analysis Interval fuzzy preference relation Multiplicative consistency programming model Consensus

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A Consistency-Based Method to Decision Making with Triangular Fuzzy Multiplicative Preference Relations

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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2017年第5期19卷 1317-1332页

作者： Tang, Jie Meng, Fanyong Cent S Univ Business Sch Changsha 410083 Hunan Peoples R China Nanjing Audit Univ Sch Int Audit Nanjing 211815 Jiangsu Peoples R China

Triangular fuzzy multiplicative preference relations (TFMPRs) enable decision makers to apply triangular fuzzy numbers to denote their preferences, which can express their vagueness and fuzziness. Consistency analysis is an important research topic that can guarantee logical ranking order. Considering previous research regarding the consistency of TFMPRs, several issues and limitations exist with these relations. The researches cannot cope well with certain situations, such as unacceptably consistent TFMPRs and incomplete TFMPRs. In this paper, a new consistency definition for TFMPRs is defined that can overcome the issues in the previous concepts. Next, several desirable properties of the definition are discussed, and the relationship between the new definition and two existing ones is presented. A linear goal programming model is also built to judge the consistency of TFMPRs, and a method is introduced to obtain an acceptably consistent TFMPR from an inconsistent one. Furthermore, several goal programming models are constructed to estimate missing values in an incomplete TFMPR. Finally, a decision-making method with TFMPRs is developed. Illustrative examples are offered to demonstrate the concrete application of the developed procedure, and a comparison analysis is also made.

关键词： Decision making Triangular fuzzy multiplicative preference relation Consistency analysis programming model

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Mini-Gunrock: A Lightweight Graph Analytics Framework on the GPU 31

Mini-Gunrock: A Lightweight Graph Analytics Framework on the...

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31st IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPS)

作者： Wang, Yangzihao Baxter, Sean Owens, John D. Univ Calif Davis Davis CA 95616 USA

ISBN: (纸本)9780769561493

Existing GPU graph analytics frameworks are typically built from specialized, bottom-up implementations of graph operators that are customized to graph computation. In this work we describe Mini-Gunrock, a lightweight graph analytics framework on the GPU. Unlike existing frameworks, Mini-Gunrock is built from graph operators implemented with generic transform-based data-parallel primitives. Using this method to bridge the gap between programmability and high performance for GPU graph analytics, we demonstrate operator performance on scale-free graphs with an average 1.5x speedup compared to Gunrock's corresponding operator performance. Mini-Gunrock's graph operators, optimizations, and applications code have 10x smaller code size and comparable overall performance vs. Gunrock.

关键词： GPU computing Graph analytics programming model Runtime system

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