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Research of multi-factors heuristics tasks scheduling model and its algorithms in grid environment

Research of multi-factors heuristics tasks scheduling model ...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Xian-Wu Zeng Cun-Chen Gao Shu-Ping Bao College of information Science and Technology Qingdao University of Science and Technology Qingdao China College of informational Science and Engineering Ocean University of China Qingdao China

The tasks scheduling model is established based on multi-factors that include communication abilities between any two sites, process ability of the site and the reliability of site in complex and dynamic environment. The Target heuristic function is constructed combined minimum executing time and reliability of site. Simulation result demonstrates the factors concern with task scheduling model accord actual situations and its can be satisfied task scheduling demand in complex grid environment. It can be found optimization value of the local target heuristic function combined minimum executing time and reliability of site.

关键词： Scheduling algorithm Processor scheduling Dynamic scheduling Grid computing distributed computing Educational institutions Concurrent computing Computer networks Bandwidth Cascading style sheets

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The Task Distribution and Scheduling of The parallel Delivery System for Massive Databases

The Task Distribution and Scheduling of The Parallel Deliver...

引用

IFIP international conference on Network and parallel computing Workshops (NPC Workshops)

作者： Gong Yue Wang Yuzhuo Xu Zhanbo Ge Shan Zhao Xin Fu Huixia The College of Computer Science and Technology Changchun University of Science and Technology Changchun China

A dynamic task distribution and scheduling technology of a message middleware for parallel data delivery on massive database systems is presented. The techniques of computer cluster and parallel processing are used to implement the task definition and distribution, processor scheduling, parallel data delivery for massive different structure databases. It implements the massive data parallel exchange between isomerism databases on a large-scale network and multi layer networks, with the method of database synchronization mechanism , configuration technique.

关键词： Processor scheduling Middleware parallel processing Dynamic scheduling Educational institutions Computer science Database systems Concurrent computing distributed computing Large-scale systems

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Credit based Fairness Control in Wireless Sensor Network

Credit based Fairness Control in Wireless Sensor Network

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Shanshan Li Xiangke Liao Shaoliang Peng Peidong Zhu Jie Jiang National University of Defense Technology China

Fairness is an essential problem in congestion control, which is to ensure all data sources have equal or weighted access to end-to-end network bandwidth. In this paper, we propose a practical fairness model CFRC to allocate congested bandwidth based on the credit of each sensor source instead of uniformly. Credit represents the effective amount of sensed information of packet generated in sensor source. In CFRC, a low-cost credit computation method ACCA is proposed for each source node to compute its credit locally based on the sensed area of it and its neighbors; Aggregation node computes the credit of aggregated packets using simple sum operation. Furthermore, an interferer aware fair rate allocation algorithm IFRA is proposed in CFRC to allocated bandwidth not only among all upstream neighbors, but also among congested nodes and its interferers. Simulation results verify the performance of CFRC.

关键词： Wireless sensor networks Bandwidth distributed computing Computational modeling Routing Software engineering Artificial intelligence Computer networks Concurrent computing Traffic control

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A Survey of Reasoning in parallelization

A Survey of Reasoning in Parallelization

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Mikhail Chalabine Christoph Kessler Programming Environments Laboratory Department of Computer and Information Science Linköping University Linkoping Sweden

We elaborate on reasoning in contemporary (semi) automatic parallelizing refactoring. As the main contribution we summarize contemporary approaches and show that all attempts to reason in parallelization thus far, have amounted to local code analysis given data and control dependencies. We conclude that, by retaining this perspective only, parallelization continues to exploit merely a subset of the reasoning methods available today and is likely to remain limited. To address this problem we suggest to expand the local analyses, such that, they take seriously relations between individual local parallelizing transformations. We argue that such a coupling allows to process sparser parallelizable constructs, such as, producer-consumer coordination. We identify questions to be addressed to put this principle into action and report on-going work on (reasoning) mechanisms able to support this.

关键词： Bismuth Artificial intelligence Automation distributed computing Pattern recognition Software engineering Programming environments Computer networks Concurrent computing Information science

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Genetic Algorithm-based Study on Flow Allocation in a Multicommodity Stochastic-flow Network with Unreliable Nodes

Genetic Algorithm-based Study on Flow Allocation in a Multic...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Qiang Liu Hailin Zhang Xiaoxian Ma Qingzhen Zhao Management and Economics Shandong Normal University Jinan China Shandong Provincial Geo-mineral Engineering Exploration Institute Jinan China

Many real-life networks can be abstracted into a stochastic-flow network. In this paper, we assume there are several sorts of resource flows transmitting through a stochastic-flow network with unreliable nodes. We want to find a optimal resource flow allocation and control strategy upon arcs and nodes. Under this strategy, the probability of satisfying sink nodes' demand is maximized when resource flows transmit from source nodes to sink nodes. We propose a genetic algorithm to seek the optimal strategy. At last, a numerical example is given to test the proposed algorithm.

关键词： conference management Engineering management Resource management Computer network management Optimal control Genetic algorithms Software engineering Artificial intelligence distributed computing Software algorithms

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Statistical trust establishment in wireless sensor networks

Statistical trust establishment in wireless sensor networks

引用

international conference on parallel and distributed Systems (ICPADS)

作者： Matthew J. Probst Sneha Kumar Kasera School of Computing University of Utah USA

We present a new distributed approach that establishes reputation-based trust among sensor nodes in order to identify malfunctioning and malicious sensor nodes and minimize their impact on applications. Our method adapts well to the special characteristics of wireless sensor networks, the most important being their resource limitations. Our methodology computes statistical trust and a confidence interval around the trust based on direct and indirect experiences of sensor node behavior. By considering the trust confidence interval, we are able to study the tradeoff between the tightness of the trust confidence interval with the resources used in collecting experiences. Furthermore, our approach allows dynamic scaling of redundancy levels based on the trust relationship between the nodes of a wireless sensor network. Using extensive simulations we demonstrate the benefits of our approach over an approach that uses static redundancy levels in terms of reduced energy consumption and longer life of the network. We also find that high confidence trust can be computed on each node with a relatively small memory overhead and used to determine the level of redundancy operations among nodes in the system.

关键词： Wireless sensor networks Redundancy Sensor phenomena and characterization Power generation economics Environmental economics Data processing Sensor systems Computer networks distributed computing Computational modeling

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A Yellow Page Information Retrieval System Based on Sorted Duality Interrelevant Successive Tree and Industry Ontology

A Yellow Page Information Retrieval System Based on Sorted D...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Chuanyao Yang Yuqin Li Zhenghua Wang Chenghong Zhang Yunfa Hu Department of Computing & Information Technology Fudan University Shanghai China School of Management Fudan University Shanghai China

This paper analyses the theory of information retrieval relativity and proposes establishing a content-based industry information retrieval system based on ontology. The system can accomplish the mapping between retrieval results and pragmatics relativity in some degree and bring more convenience to users when querying, which embodies the user- oriented principle. This retrieval system uses a novel retrieval model called sorted duality inter-relevant successive tree to index the contents of yellow page data to improve the retrieval efficiency. The experiment shows that this system is successful and has a better precision and recall of retrieval.

关键词： Information retrieval Ontologies Content based retrieval Decision making distributed computing Computer industry Search engines Software engineering Artificial intelligence Computer networks

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Rough Set Approach for Processing Information Table

Rough Set Approach for Processing Information Table

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： E. Xu Tong Shaocheng Shao Liangshan Ye Baiqing Management School Liaoning Technical University Fuxin China Department of Computer Liaoning University of Technology Jinzhou China

To deal with the problem of completing the information table, a new method was studied and proposed. First, define discernible vector and its addition rule by the indiscernible relation in rough set. Second, scan discernible vectors just only one time by the discernible vector addition rule in order to obtain the core attribute set and the important attributes. Then obtain a reduced attribute set by deleting redundant attributes. Finally, according to the dependence relation of condition and decision attributes, select the important breaking points,and complete the information table with the constraints of classification quality. The illustration and experiment results indicate that the method is effective and efficient.

关键词： Information systems Artificial intelligence distributed computing Rough sets Clustering algorithms Machine learning algorithms Bellows Software engineering Computer networks Concurrent computing

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Study on Distributing Pattern of Shared Data in CC-NUMA System

Study on Distributing Pattern of Shared Data in CC-NUMA Syst...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Guoteng Pan Qiang Dou Lunguo Xie School of Computer National University of Defense Technology Shanghai China

Nowadays, directory-based cache coherence protocols have been the best choice in designing large-scaled CC-NUMA systems. Directory contains the shared information of all memory blocks in system. The number of copies of shared data in system and their distributing characteristics are deeply influenced by the characteristics of application programs. In this paper, a Markov chains model is built for the distributing pattern of shared data in CC-NUMA systems. It's proved that, the average number of cache copies of shared data is small in CC-NUMA systems. Especially, when the percentage of shared read operations in applications is lower than 80%, this number is less than 5.

关键词： Protocols Pattern analysis distributed computing Coherence Software engineering Artificial intelligence Computer networks Concurrent computing Multiprocessing systems Writing

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On incorporating an on-line strip packing algorithm into elastic Grid reservation-based systems

On incorporating an on-line strip packing algorithm into ela...

引用

international conference on parallel and distributed Systems (ICPADS)

作者： Anthony Sulistio Kyong Hoon Kim Rajkumar Buyya Department of Computer Science and Software Engineering University of Melbourne Australia

In grid systems, users may require assurance for completing their jobs on shared resources. Such guarantees can only be provided by reserving resources in advance. In this paper, we introduce an elastic reservation model, where users can query about a resource availability on a given time interval. They can also provide a reservation duration time and/or number of compute nodes needed as soft constraints to the query. Next, we provide an adapted version of an on-line strip packing algorithm, that takes into a consideration of resource utilization when processing reservation requests. We evaluate our algorithm with a real workload trace and show that the proposed algorithm manages a higher resource utilization and number of acceptance compared to an ad-hoc rigid approach.

关键词： Strips Resource management Processor scheduling Peer to peer computing Computer networks Grid computing Computer applications Availability distributed computing Quality of service

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