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共 1765 条记录，以下是441-450 订阅

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Scalable parallel quadrilateral mesh generation coupled with mesh partitioning

Scalable parallel quadrilateral mesh generation coupled with...

引用

6th international conference on parallel and distributed computing, applications and technologies (PDCAT 2005)

作者： Chen, JJ Zheng, Y Ning, X Zhejiang Univ Ctr Engn & Sci Computat Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Coll Comp Sci Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)0769524052

In this paper, we present our efforts to parallelize an unstructured quadrilateral mesh generator. Its serial version is based on the divider-and-conquer idea, and mainly includes two stages, i.e. geometry decomposition and mesh generation. Both stages are parallelized separately. A highly efficient fine-grain level parallel scheme is presented to parallelize the stage of geometry decomposition. A SubDomain Graph (SDG), which represents the connections of subdomains, is constructed the task of parallel mesh generation is then reduced to that of the SDG partitioning. Since the number of elements in subdomains could be pre-computed before meshing, a static load balancing scheme to partition the SDG performs well with the aid of Metis tools. Numerical results show that scalable timing performance could be achieved by using the parallel mesh generator with resulting meshes nicely partitioned among processors, which enables a fast parallel simulation environment by eliminating the traditional 110-busy process of mesh repartitioning.

关键词： parallel processing systems

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Ontology-based clustering and routing in peer-to-peer networks

Ontology-based clustering and routing in peer-to-peer networ...

引用

6th international conference on parallel and distributed computing, applications and technologies (PDCAT 2005)

作者： Li, J Vuong, S Univ British Columbia Dept Comp Sci Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)0769524052

How to improve the performance of content searching in peer-to-peer (P2P) systems is a challenging issue. In this paper we attack this problem by proposing a new decentralized P2P architecture ontoloy-based community overlays. the system exploits the semantic property of the content in the network to cluster nodes sharing similar interest together to improve the query and searching performance. Specifically, a distributed hash table (DHT) based overlay is constructed to assist peers organizing into communities. those peers in the same community form a Gnutella-like unstructured overlay. this architecture helps reduce the search time and decrease the network traffic by minimizing the number of messages propagated in the system. Moreover, it retains the desirable properties of existing unstructured architectures, including being fully decentralized with loose structure, and supporting complex queries. We demonstrate by simulation, that with this architecture, peers can get more relevant resources faster and with less traffic generated.

关键词： distributed computer systems

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A Hybrid parallel Implementation for the Maximum Flow Problem 26

A Hybrid Parallel Implementation for the Maximum Flow Proble...

引用

26th Euromicro international conference on parallel, distributed, and Network-Based Processing (PDP)

作者： Stefanes, Marco A. Alvino, Luiz F. Univ Fed Mato Grosso do Sul Comp Coll Campo Grande Brazil Univ Fed Mato Grosso do Sul Campo Grande Brazil

ISBN: (纸本)9781538649756

the maximum flow problem is a classical combinatorial problem with many applications. In this work a hybrid parallel algorithm using both multi-core and many-core technologies for computing the maximum flow in a network is presented. the proposed implementation is applicable in OpenMP/CUDA-enabled computing environment. To improve the performance two strategies were implemented: an adaptive approach where the algorithm alternate GPU/CPU processing according to the number of active nodes and implementations of the global relabeling and gap relabeling heuristics on multi-core approach. When compared against the best sequential implementation, the speedups range from 2.36 to 5.38 in several kinds of graph. Results show that the proposed algorithm is faster than previous parallel implementations on CPU/GPUs for all kinds of tested graphs.

关键词： Maximum flow Push-relabel method Hybrid parallel programming Multi/many-core architectures

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A Service-reliability-based Resource Mapping Method in Smart Grid Virtual Networks 15

A Service-reliability-based Resource Mapping Method in Smart...

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15th IEEE international Symposium on parallel and distributed Processing with applications (ISPA) / 16th IEEE international conference on Ubiquitous computing and Communications (IUCC)

作者： Sun, Li-Qian Chen, Xing-Yu Feng, Qi Guo, Shao-Yong Xu, Si-Ya Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China

ISBN: (纸本)9781538637906

In order to guarantee the reliability of services and reduce the waste of resources in traditional dual-path protection method, a service-reliability-based resources mapping method is proposed in this paper. the virtualization technology is adopted in our method for smart grid Fiber-Wireless access networks. Firstly, a priority-and fault-probability based primary link mapping model is set up. It classifies the service priorities level and provides high-priority services with high-reliability links to improve service reliability of the whole network. then, a resource-saving aimed backup link mapping model is established to allocate the multiple services as many as possible for one backup link to save resources. At last, the genetic algorithm is used to solve the mapping model. the evaluation results show that our proposed method increases service reliability, and improves resource utilization.

关键词： SDN communication networks resource mapping failure probability resource saving ubiquitous network

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Track Chair's Report: Convergence of distributed Clouds, Grids and their Management CDCGM 2017 Cloud Native or Cloud Agnostic? that is the Question in 2017 WETICE2017 Poznan, Poland, June 21-23, 2017 26

Track Chair's Report: Convergence of Distributed Clouds, Gri...

引用

26th IEEE international conference on Enabling technologies - Infrastructure for Collaborative Enterprises (WETICE)

作者： Messina, Fabrizio Mikkilineni, Rao Morana, Giovanni Rosaci, Domenico Univ Catania Dept Math & Informat Vle Andrea Doria 6 I-95125 Catania Italy C3DNA Inc Santa Clara CA USA C3DNA Inc R&D & Engn Catania Italy Univ Reggio Calabria DICEAM Dept Reggio Di Calabria RC Italy

ISBN: (纸本)9781538617595

this track started in 2009 with opening remarks from the Chair observing that the computing cloud evolution depends on research efforts from the infrastructure providers creating next generation hardware that is service friendly, service developers that embed business service intelligence in the computing infrastructure to create distributed business workflow execution services and service providers who assure service delivery on a massive scale with global interoperability. the state of the art architecture and evolution of the cloud at that time was already increasing datacenter complexity by piling up new layers of management over the many layers that already exist. Since then, the scale of distributed applications and their management have taken a new dimension demanding tolerance to wild fluctuations both in workloads and available computing resource pools. there are many calls to go cloud native and architect applications using the many services provided by the cloud providers such as Amazon Web Services. On the other hand, there are also calls for avoiding vendor lock-in by going multi-cloud and becoming cloud agnostic. In this conference there is a new paper that proposes cloud agnostic approach with globally interoperable cloud network using private or public network while reducing the complexity of Virtual machine image motion across clouds. In addition, there are 7 papers describing advances in current distributed and cloud computing practices dealing with quality of service, adaptive algorithms and software defined network architectures.

关键词： Cloud computing grid computing distributed Intelligent Managed Element Networks distributed Services Management Services Virtualization parallel computing

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cHPP controller: a high performance hyper-node hardware accelerator 14

cHPP controller: a high performance hyper-node hardware acce...

引用

14th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Su, Yong Liu, FeiLong Cao, Zheng Wang, Zhan Liu, Xiaoli An, Xuejun Sun, Ninghui Chinese Acad Sci Inst Comp Technol Natl Res Ctr Intelligent Comp Syst Beijing Peoples R China Chinese Acad Sci Grad Univ Beijing Peoples R China

ISBN: (纸本)9781479924189

the high-density blade server provides an attractive solution for the rapid increasing demand on computing. the degree of parallelism inside a blade enclosure nowadays has reach up to hundreds of cores. In such parallelism, it is necessary to accelerate communications inside a blade enclosure. However, commercial products seldom set foot in the optimization based on hardware. A hyper-node controller is proposed to provide a low overhead and high performance interconnection based on PCIe, which supports global address space, user-level communication, and efficient communication primitives. Furthermore, the efficient sharing of I/O resource is another goal of this design. the prototype of the hyper-node controller is implemented in FPGA. the testing results show the lowest latency is only 1.242us and the highest bandwidth is 3.19GB/s, which is almost 99.7% of the theoretic peak bandwidth.

关键词： large scale distributed computing system blade server hyper-node controller direct memory access input output virtualization

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A distributed genetic algorithm with adaptive diversity maintenance for ordered problems 20

A distributed genetic algorithm with adaptive diversity main...

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20th international conference on parallel and distributed computing, applications and technologies, PDCAT 2019

作者： Ohira, Ryoma Islam, Md. Saiful School of Information Communication and Technology Griffith University Southport Australia

ISBN: (纸本)9781728126166

Maintaining population diversity is critical to the performance of a Genetic Algorithm (GA). Applying appropriate strategies for measuring population diversity is important in order to ensure that the mechanisms for controlling population diversity are provided with accurate feedback. Sequence-wise approaches to measuring population diversity have demonstrated their effectiveness in assisting with maintaining population diversity for ordered problems, however these processes increase the computational costs for solving ordered problems. Research in distributed GAs have demonstrated how applying different distribution models can affect an GA's ability to scale and effectively search the solution space. this paper proposes a distributed GA with adaptive parameter controls for solving ordered problems such as the travelling salesman problem(TSP), capacitated vehicle routing problem (CVRP) and the job-shop scheduling problem (JSSP). Extensive experimental results demonstrate the superiority of the proposed approach. © 2019 IEEE.

关键词： Traveling salesman problem

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Research on Key technologies of Software-Defined Network Based on Blockchain 13

Research on Key Technologies of Software-Defined Network Bas...

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13th IEEE international conference on Service-Oriented System Engineering (SOSE) / 10th international Workshop on Joint Cloud computing (JCC) / IEEE international Workshop on Cloud computing in Robotic Systems (CCRS)

作者： Xue, Chenyu Xu, Ning Yin, Bo Wuhan Univ Technol Comp Sci & Technol Beijing Peoples R China Tsinghua Univ Res Inst Informat Technol Beijing Peoples R China

ISBN: (数字)9781728114422

ISBN: (纸本)9781728114422

the software-defined network implements the separation of software and hardware, as well as a programmable network. however, the lack of consistent records of network data poses difficulties for network management, and heterogeneous device heterogeneity poses a hindrance to software-defined network interoperability. this paper summarizes the development status and existing problems of software-defined network, proposes a software-defined network data chain based on blockchain, realizes distributed consistent record of software-defined network data, and breaks the multi-vendor device isolation for fault recovery. Reduce the cost of network failure recovery and achieve unified scheduling of business capabilities.

关键词： Blockchain SDN data management

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OpenTS: An outline of dynamic parallelization approach

引用

8th international conference on parallel computing technologies (PaCT 2005)

作者： Abramov, S Adamovich, A Inyukhin, A Moskovsky, A Roganov, V Shevchuk, E Shevchuk, Y Vodomerov, A Russian Acad Sci Program Syst Inst Pereslavl Zalesskii 152020 Yaroslavl Reg Russia MSU Inst Mech Moscow 119192 Russia

ISBN: (纸本)3540281266

the paper is dedicated to an open T-system (OpenTS) - a programming system that supports automatic parallelization of computations for high-performance and distributed applications. In this paper, we describe the system architecture and input programming language as well as system's distinctive features. the paper focuses on the achievements of the last two years of development, including support of distributed, meta-cluster computations.

关键词： parallel processing systems

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An Unsupervised Approach for Online Detection and Mitigation of High-Rate DDoS Attacks Based on an In-Memory distributed Graph Using Streaming Data and Analytics 17

An Unsupervised Approach for Online Detection and Mitigation...

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10th international conference on Utility and Cloud computing (UCC) / 4th international conference on Big Data computing, applications and technologies (BDCAT)

作者： Villalobos, J. J. Rodero, Ivan Parashar, Manish Rutgers Univ State Univ New Jersey Rutgers Discovery Informat Inst Piscataway NJ 08854 USA

ISBN: (纸本)9781450355490

A distributed Denial of Service (DDoS) attack is an attempt to make an online service, a network, or even an entire organization, unavailable by saturating it with traffic from multiple sources. DDoS attacks are among the most common and most devastating threats that network defenders have to watch out for. DDoS attacks are becoming bigger, more frequent, and more sophisticated. Volumetric attacks are the most common types of DDoS attacks. A DDoS attack is considered volumetric, or high-rate, when within a short period of time it generates a large amount of packets or a high volume of traffic. High-rate attacks are well-known and have received much attention in the past decade;however, despite several detection and mitigation strategies have been designed and implemented, high-rate attacks are still halting the normal operation of information technology infrastructures across the Internet when the protection mechanisms are not able to cope with the aggregated capacity that the perpetrators have put together. With this in mind, the present paper aims to propose and test a distributed and collaborative architecture for online high-rate DDoS attack detection and mitigation based on an in-memory distributed graph data structure and unsupervised machine learning algorithms that leverage real-time streaming data and analytics. We have successfully tested our proposed mechanism using a real-world DDoS attack dataset at its original rate in pursuance of reproducing the conditions of an actual large scale attack.

关键词： DDoS Detection DDoS Mitigation Machine Learning distributed Big Data Analytics

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