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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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Towards a knowledge-based system of distributed configuration

Towards a knowledge-based system of distributed configuratio...

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6th International Conference on parallel and distributed computing, applications and technologies, pdcat 2005

作者： Fu, Xiangjun Li, Shanping School of Mechanical Engineering Shanghai Jiaotong University Shanghai 200030 China AI. Institute Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0769524052

Configuration for products in the distributed and dynamic computing environment motivates the demand for semantic based cooperation. Stand-alone data model of configuration systems does not meet the new requirements. We propose a multi-ontology based knowledge-base solution, which take the process knowledge of distributed systems into consideration. The solution shares information between heterogeneous systems without semantic obsession on information integration and emphasizes knowledge sharing and reuse. Furthermore, its process model provides possibility to optimize solutions for configuration problems. OWL is used as modeling language in order to utilize potential benefits of current Semantic Web technology. © 2005 IEEE.

关键词： Knowledge based systems

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Performance comparison between VOPP and MPI

Performance comparison between VOPP and MPI

引用

6th International Conference on parallel and distributed computing, applications and technologies, pdcat 2005

作者： Huang, Z. Purvis, M. Werstein, P. Department of Computer Science University of Otago Dunedin New Zealand Department of Information Science University of Otago Dunedin New Zealand

ISBN: (纸本)0769524052

View-Oriented parallel Programming is based on distributed Shared Memory which is friendly and easy for programmers to use. It requires the programmer to divide shared data into views according to the memory access pattern of the parallel algorithm. One of the advantages of this programming style is that it offers the performance potential for the underlying distributed Shared Memory system to optimize consistency maintenance. Also it allows the programmer to participate in performance optimization of a program through wise partitioning of the shared data into views. In this paper, we compare the performance of View-Oriented parallel Programming against Message Passing Interface. Our experimental results demonstrate a performance gap between View-Oriented parallel Programming and Message Passing Interface. The contributing overheads behind the performance gap are discussed and analyzed, which sheds much light on further performance improvement of View-Oriented parallel Programming. © 2005 IEEE.

关键词： distributed computer systems

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An efficient parallel algorithm for the longest increasing subsequence problem on a LARPBS

An efficient parallel algorithm for the longest increasing s...

引用

8th International Conference on parallel and distributed computing, applications and technologies

作者： Seme, David Youlou, Sidney Univ Picardie Jules Verne CURI F-80000 Amiens France

ISBN: (纸本)9780769530499

In this paper we give a parallel algorithm for the longest increasing subsequence problem on a LARPBS, one of the recently proposed parallel model based on optical bus. For a sequence of n integers, we solve the longest increasing subsequence problem in O(k) time using n processors where k is the length of the solution. Then, we give an algorithm for the maximal layers problem that runs in O(k+log(n)) time for a set of n points where k is the number of layers on a n-processor array. To our knowledge, this is the fastest algorithm for that problem.

关键词： parallel algorithms

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The anatomy study of load balancing in distributed system

The anatomy study of load balancing in distributed system

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7th International Conference on parallel and Distrubuted computing, applications and technologies

作者： Yan, K. Q. Wang, S. C. Chang, C. P. Tseni, L. Y. Chaoyang University of Technology Taiwan National Tsing Hua University Taiwan

ISBN: (纸本)9780769527369

In recent years, network bandwidth and quality has been drastically improved in a speed even much faster than the enhancement of computer performance. Various communication and computing tasks in the fields can be integrated and applied in a distributed system in nowadays. However, those resources are heterogeneous and dynamic in distributed systems connecting a broad range of resources. This study proposed a hybrid load balancing policy to maintain performance and stability of distributed system.

关键词： distributed computer systems

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A platform-centric framework for the web exposure and orchestration of distributed objects

A platform-centric framework for the web exposure and orches...

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11th International Conference on parallel and distributed computing, applications and technologies, pdcat 2010

作者： Paulino, Hervé Cancela, Paulo Franco, Tiago CITI Departamento de Informática Universidade Nova de Lisboa Portugal Portugal Critical Software SA Portugal

ISBN: (纸本)9780769542874

Many of the current service-oriented architectures are built on top of distributed object technologies. These technologies have, however, lost most of their initial appeal, mainly due to the inability to port their concepts to the World Wide Web, and to provide interoperability across many different platforms. The porting of these distributed object platforms to the current Web Service standard is, however, a costly process that requires high investments of both time and money. This paper presents OHMS, a framework that provides an easy and not resource consuming way of exposing a platform to the Web, thus enabling Web access, business-to-business interaction and service composition, by the means of orchestration. We address the framework's architecture, its implementation, and the support for orchestrating CORBA platforms. We evaluate the work regarding the initial requirements, the effort required to support a given distributed object technology, and performance issues. We also address the application of OHMS to a real-life scenario. © 2010 IEEE.

关键词： Web services

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A post-scheduling optimization algorithm of distributed real-time tasks

A post-scheduling optimization algorithm of distributed real...

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6th International Conference on parallel and distributed computing, applications and technologies, pdcat 2005

作者： Fang, Ming Yuan, You-Guang Liang, Hong-Tao College of Computer Science Harbin Engineering University Harbin 150001 China Wuhan Digital Engineering Institute Wuhan 430074 China

ISBN: (纸本)0769524052

To overcome the disadvantages of existing algorithms in scheduling distributed real-time tasks, this paper proposes a post-scheduling optimization algorithm (PSO) based on a novel structure called Scheduled Clusters Tree. As the experiments shows, PSO can minimize the number of required processors without affecting the optimal scheduling length generated by duplication-based algorithms, e.g., TDS or OSA algorithm. The time complexity of PSO algorithm is O(d|V|2) when TDS is adopted, or O(d2|V|2) when OSA is adopted. Where |V is the number of tasks and d is the maximum degree of tasks in the corresponding DAG. © 2005 IEEE.

关键词： distributed computer systems

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Integrating agent and web service into grid service workflow system

Integrating agent and web service into grid service workflow...

引用

6th International Conference on parallel and distributed computing, applications and technologies, pdcat 2005

作者： Zhai, Zhengli Yang, Yang Guo, Wencai Tian, Zhimin School of Information Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)0769524052

The dynamical Grid environment requires flexible and adaptive workflow system. This paper integrates Agents and Web Services into Grid Service Workflow System based on Colored Petri Nets. The combination of Agents and Web Services enhances the adaptability and dynamics of the framework. How Web Service can be located dynamically and the services provided by it can be invoked are discussed. Using an example of ordering railway ticket, we show how our framework can achieve adaptability from process, resource and task perspectives using both Agents and Web Services. © 2005 IEEE.

关键词： distributed computer systems

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Profit-aware workload management for geo-distributed data centers 18

Profit-aware workload management for geo-distributed data ce...

引用

18th International Conference on parallel and distributed computing, applications and technologies, pdcat 2017

作者： Gao, Yongqiang Wei, Hengchao College of Computer Science Inner Mongolia University Hohhot China

ISBN: (纸本)9781538631515

With the rising demand on internet online services, more and more individuals and organizations migrate their data and services from local to geographically distributed internet data centers for reliability, management, and cost benefits. From internet data center operators' perspective, profit is one of the most significant factors which are to be taken into account and it is mainly determined by the quality of service and the electricity cost. In this work, we jointly take the diversity of time-varying electricity prices, the quality of service and the power usage effectiveness of data centers into consideration and propose a profit optimization framework that includes three important decisions: requests dispatching, the number of active servers and frequency adjustment. An efficient heuristic algorithm is then developed to provide internet data center operators with the advice on these decisions to achieve profit maximization for geographically distributed data centers. Through extensive trace-driven simulations, we demonstrate the effectiveness and superiority of our solution. © 2017 IEEE.

关键词： Quality of service

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Optimal Scheduling of Task Graphs on parallel Systems

Optimal Scheduling of Task Graphs on Parallel Systems

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9th International Conference on parallel and distributed computing, applications and technologies

作者： Shahul, Ahmed Zaki Semar Sinnen, Oliver Hewlett Packard New Zealand 22 Viaduct Harbour AveMaritime SqPOB 3860 Auckland New Zealand Univ Auckland Dept Elect & Comp Engn Auckland New Zealand

ISBN: (纸本)9780769534435

Scheduling tasks onto the processors of a parallel system is a crucial part of program parallelisation. Due to the NP-hard nature of the task scheduling problem, scheduling algorithms are based on heuristics that try to produce good rather than optimal schedules. Nevertheless, in certain situations it is desirable to have optimal schedules, for example for time critical systems or to evaluate scheduling heuristics. This paper investigates the task scheduling problem using A* search algorithm. The A* scheduling algorithm implemented can produce optimal schedules in reasonable time for small to medium sized task graphs. In comparison to a previous approach, the here presented A* scheduling algorithm has a significantly reduced search space due to a much improved cost function f (s) and additional pruning techniques. Last but not least, the experimental results show that the proposed A* scheduling algorithm significantly outperforms the previous approach.

关键词： parallel computing scheduling task graphs optimal schedules A

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