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Parallel and Batch Multiple Replica Auditing Protocol for Edge computing 21

Parallel and Batch Multiple Replica Auditing Protocol for Ed...

引用

21st IEEE international symposium on Parallel and distributed Processing with applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Li, Yi Zheng, Wenying Pandi, Vijayakumar Bhuiyan, Md Zakirul Alam Thamilarasi, C. Nanjing University of Information Science and Technology School of Computer Science Nanjing China Zhejiang Sci-Tech University School of Computer Science and Technology Hangzhou China University College of Engineering Tindivanam Anna University Chennai Department of Computer Science and Engineering Melpakkam India Fordham University Department of Computer and Information Sciences BronxNY United States P.S.V College of Enfgineering and Technoogy Department of Electronics and Communication Engineering Krishnagiri India

ISBN: (纸本)9798350329223

The edge computing architecture exposes data transmission and storage to unauthorized access, compromising data integrity. Users typically employ multiple data backups to ensure data reliability and availability, enhancing data redundancy and recovery capabilities. Nevertheless, verifying the integrity of multiple backup data under edge computing entails computational and communication overhead. In response, we present a parallel and batch multiple replica auditing protocol tailored for edge computing. Contributions include an efficient multiple replica construction method based on RSA, minimizing computational overhead, and a parallel data integrity verification approach that reduces communication overhead. A prototype implementation is evaluated in a real edge computing environment and compared to existing multiple replica auditing approaches. © 2023 IEEE.

关键词： Edge computing

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Bandwidth allocation for iterative data-dependent e-science applications 10

Bandwidth allocation for iterative data-dependent e-Science ...

引用

10th IEEE/ACM international symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Jung, Eun-Sung Ranka, Sanjay Sahni, Sartaj Computer and Information Science and Engineering Department University of Florida Gainesville FL 32611 United States

ISBN: (纸本)9781424469871

We develop a novel framework for supporting e-science applications that require streaming of information between sites. Using a Synchronous Dataflow (SDF) model, our framework incorporates the communication times inherent in large scale distributed applications, and can be used to formulate the bandwidth allocation problem with throughput constraints as a multi-commodity linear programming problem. Our algorithms determine how much bandwidth is allocated to each edge while satisfying temporal constraints on collaborative tasks. Simulation results show that the bandwidth allocation by the formulated linear programming outperforms the bandwidth allocation by simple heuristics. © 2010 IEEE.

关键词： Frequency allocation

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Chemical reaction optimization for heterogeneous computing environments

Chemical reaction optimization for heterogeneous computing e...

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2012 10th IEEE international symposium on Parallel and distributed Processing with applications, ISPA 2012

作者： Li, Kenli Zhang, Zhimin Xu, Yuming Gao, Bo He, Ligang College of Information Science and Engineering Hunan University Changsha Hunan China Department of Computer Science University of Warwick United Kingdom

ISBN: (纸本)9780769547015

Task scheduling has been proven to be NP-hard problem and we can usually approximate the best solutions with some classical algorithm, such as Heterogeneous Earliest Finish Time(HEFT), Genetic Algorithm. However, the huge types of scheduling problems and the small number of generally acknowledged methods mean that more methods are needed. In this paper, we propose a new method to schedule the execution of a group of dependent tasks for heterogeneous computing environments. The algorithm consists of two elements: An intelligent approach to assign the execution orders of tasks by task level, and an allocation algorithm based on chemical-reaction-inspired metaheuristic called Chemical Reaction Optimization (CRO) to map processors to tasks. The experiments show that the CRO-based algorithm performs consistently better than HEFT and Critical Path On a Processor (CPOP) without incurring much computational cost. Multiple runs of the algorithm can further improve the search result. © 2012 IEEE.

关键词： Genetic algorithms

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Intelligent distributed computing IV 1

引用

丛书名： Studies in Computational Intelligence

1000年

作者： Mohammad Essaaidi Michele Malgeri Costin Badica

ISBN: (数字)9783642152115

ISBN: (纸本)9783642152108;9783642264382

This book represents the combined peer-reviewed proceedings of the Fourth international symposium on Intelligent distributed computing -- IDC 2010 and of the Second international Workshop on Multi-Agent Systems Technology and Semantics -- MASTS'2010. Both events were held in Tangier, Morocco during September 16-18, 2010. The 33 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: agent-based e-business, ambient intelligence, bio-informatics, collaborative systems, cryptography and security, distributed algorithms, distributed data mining, distributed simulation, grid computing, image processing, information extraction, knowledge management, logic programming, mobile agents, ontologies, pervasive computing, Petri nets, process modeling, self-organizing systems, semantic web services, service oriented computing, social networks and trust, swarm intelligence, web applications, wireless sensor networks.

关键词： Mathematical and Computational engineering Artificial Intelligence applications of Mathematics

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Towards the robustness of dynamic loop scheduling on large-scale heterogeneous distributed systems

Towards the robustness of dynamic loop scheduling on large-s...

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8th international symposium on Parallel and distributed computing

作者： Banicescu, Ioana Ciorba, Florina M. Carino, Ricolindo L. Mississippi State Univ Dept Comp Sci & Engn Mississippi State MS 39762 USA Mississippi State Univ Ctr Computat Sci Mississippi State MS 39762 USA Mississippi State Univ Ctr Adv Vehicular Syst Mississippi State MS 39762 USA

ISBN: (纸本)9780769536804

Dynamic loop scheduling (DLS) algorithms provide application-level load balancing of loop iterates, with the goal of maximizing application performance on the underlying system. These methods use run-time information regarding the performance of the application's execution (for which irregularities change over time). Many DLS methods are based on probabilistic analyses, and therefore account for unpredictable variations of application and system related parameters. Scheduling scientific and engineering applications in large-scale distributed systems (possibly shared with other users) makes the problem of DLS even more challenging. Moreover, the chances of failure, such as processor or link failure, are high in such large-scale systems. In this paper, we employ the hierarchical approach for three DLS methods, and propose metrics for quantifying their robustness with respect to variations of two parameters (load and processor failures), for scheduling irregular applications in large-scale heterogeneous distributed systems.

关键词： Large scale systems

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Aggregating Opinions to Optimize Multi-objective Urban Tactical Position Selection 2015

Aggregating Opinions to Optimize Multi-objective Urban Tacti...

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19th IEEE/ACM international symposium on distributed Simulation and Real Time applications (DS-RT)

作者： Xu, Kai Sun, Lin Yin, Quanjun Natl Univ Def Technol Sch Informat Syst & Management Changsha Hunan Peoples R China

ISBN: (纸本)9781467378222

In this research-in-progress paper we present a new real-world domain for studying the aggregation of different opinions: optimal urban tactical position selection (TPS). This is an important and foreseeable real world application, not only because cities have been viewed as centers of gravity by military planners throughout history, but also because the military significance of cities has increased proportionally as the global urbanization does. We first present a mapping between the domain of engineering research and that of the agent models present in the literature and use genetic multi-objective optimization method to generate Pareto TPS plans. Further we study the importance of forming diverse teams when aggregating opinions of different problem solvers for tactical position selection, and also the relationships of the number of problem solvers with time ratio and the solution efficiency. We show that a diverse team of problem solvers is able to provide better force deployment plans for early-stage decision makers to choose from. We also find that opinion aggregation methods, like approval voting, help to allocate a difficult problem solving among several computing resources, and at the same time ensuring the efficiency of solutions. Finally, we present next steps for a deeper exploration of our questions.

关键词： problem solver opinion city Solvers Center of gravity engineering research transaction processing system optimization method Problem solving

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Amazon S3 for science grids: A viable solution?

Amazon S3 for science grids: A viable solution?

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2008 international Workshop on Data-aware distributed computing 2008, DADC'08

作者： Palankar, Mayur Lamnitchi, Adriana Ripeanu, Matei Garfinkel, Simson Computer Science and Engineering University of South Florida Tampa FL 33620 United States Electrical and Computer Engineering University of British Columbia Vancouver BC V6T 1Z4 Canada Center for Research on Computation and Society Harvard University Cambridge MA United States

ISBN: (纸本)9781605581545

*** has introduced the Simple Storage Service (S3), a commodity-priced storage utility. S3 aims to provide storage as a low-cost, highly available service, with a simple 'pay-as-you-go' charging model. This article makes three contributions. First, we evaluate S3's ability to provide storage support to large-scale science projects from a cost, availability, and performance perspective. Second, we identify a set of additional functionalities that storage services targeting data-intensive science applications should support. Third, we propose unbundling the success metrics for storage utility performance as a solution, to reduce storage costs. Copyright 2008 ACM.

关键词： Costs

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Experiences with Target-Platform Heterogeneity in Clouds, Grids, and On-Premises Resources

Experiences with Target-Platform Heterogeneity in Clouds, Gr...

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26th IEEE international Parallel and distributed Processing symposium (IPDPS) / Workshop on High Performance Data Intensive computing

作者： Slawinski, Jaroslaw Passerini, Tiziano Villa, Umberto Veneziani, Alessandro Sunderam, Vaidy Emory Univ Atlanta GA 30322 USA

ISBN: (纸本)9780769546766

Heterogeneity in secondary characteristics of different HPC target platforms is the focus of this paper. Clusters, grids, and (IaaS) clouds may appear straightforward to configure to be interchangeable - but our experiences with mainstream parallel codes for CFD demonstrate that secondary attributes - support software, interconnect type, availability, access, and cost - expose heterogeneous aspects that impact overall effectiveness of application execution. The emergence of clouds as alternatives to grids and local resources for parallel HPC codes portends "computing as a utility" in science and engineering domains. Our experiences provide preliminary insights into characterizing these different types of platforms to which users typically have access - and show where the tradeoffs can be, in terms of deployment effort, actual and nominal costs, application performance, and availability (both in terms of resource size and time to gain access). For our test application, we report that each of the platforms to which we had access had its particular benefits and drawbacks in terms of the above attributes. More generally, our experiences may provide an example preview into what developers and users can expect when selecting a "utility provider" and specific instance thereof for a particular run of their application.

关键词： Platform heterogeneity Cloud computing Scientific applications Cost characterization

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A Sentiment Analysis Model Based on Attention Mechanism and Compound Model

A Sentiment Analysis Model Based on Attention Mechanism and ...

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international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Leichun Wang Pengfei Liu School of Computer Science and Information Engineering Hubei University Wuhan China

The following topics are dealt with: optimisation; convolutional neural nets; object detection; learning (artificial intelligence); road traffic; ships; natural language processing; mobile robots; Internet; road safety.

ISBN: (纸本)9781728128665

关键词： distributed computing business

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A Software Licenses Aware Job Scheduling and Management Approach on Multiclusters 19

A Software Licenses Aware Job Scheduling and Management Appr...

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第十五届分布式计算及其应用国际学术研讨会

作者： Zhengxiong Hou Jianhua Gu Xingshe Zhou Tianhai Zhao Center for High Performance Computing School of Computer Science and Technology NWPU

ISBN: (纸本)9781509035946

For commercial software in scientific and engineering computing,software licenses are needed when running them in high performance computing ***,there is a constraint for the number of software *** the traditional software licenses management approaches,there is a prominent *** jobs will fail immediately without available software ***,the existing job scheduling mechanisms mainly focus on hardware resources *** this paper,we propose a software licenses aware job scheduling and management approach on multi-clusters,which is a common scenario for current high performance computing *** on floating licenses and scheduling policies,the submitted jobs from multi-clusters requiring software licenses will be uniformly queued and scheduled.A co-scheduling mechanism is provided for the software licenses and hardware *** software and limited licenses can be shared and used efficiently on *** implemented and evaluated the approach in a real multi-clusters computing environment.

关键词： Licenses Software Monitoring Servers Scheduling Processor scheduling Resource management

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