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检索条件"任意字段=2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2012"

共 43 条记录，以下是11-20 订阅

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Task Scheduling with Load Balancing for Computational grid Using NSGA II with Fuzzy Mutation

Task Scheduling with Load Balancing for Computational Grid U...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Salimi, Reza Motameni, Homayun Omranpour, Hesam Tabari Inst Higher Educ Coll Comp Sci Babol Sar Iran Islamic Azad Univ Dept Comp Engn Sari Branch Sari Iran Amirkabir Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781467329255;9781467329224

The resources management in a grid computing is a complicated problem. Scheduling algorithms play important role in the parallel distributed computing systems for scheduling jobs, and dispatching them to appropriate resources. An efficient task scheduling algorithm is needed to reduce the total Time and Cost for job execution and improve the Load balancing between resources in the grid. In grid computing, load balancing is a technique to distribute workload fairly across computational resources, in order to obtain optimal resource utilization with minimum response time, and avoid overload. Load balancing is a crucial problem to grid computing. In this paper, we address scheduling problem of independent tasks in the market-based grid. In market grids, resource providers can request payment from users based on the amount of computational resource that used by them. Beside we consider Makespan and Load balancing. In this paper, NSGA II with Fuzzy Adaptive Mutation Operator is used to address independent task assignments problems in parallel distributed computing systems. Results obtained proved that our innovative algorithm converges to Pareto-optimal solutions faster and with more quality.

关键词： Task scheduling grid computing Non-dominated Sorting Genetic Algorithm (II) Adaptive Mutation Operator fuzzy logic

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A Three-Stage Approach for grid Task Scheduling

A Three-Stage Approach for Grid Task Scheduling

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Panda, Sanjaya Kumar Khilar, Pabitra Mohan Natl Inst Technol Dept Comp Sci & Engn Rourkela India

ISBN: (纸本)9781467329255;9781467329224

grid computing has the capability for solving complex scientific applications. The complex applications are divided into smaller units to make the process easier. Smaller units are scheduled in such a manner that the overall cost is minimized. So, scheduling is an important part of grid Environment. The aim of scheduling is proper utilization of resources and minimizes the completion time. In task scheduling, the job is divided into number of Meta tasks. Meta task do not have any dependency between each other. Now, the problem is to map Meta tasks onto resources such that the Makespan is minimized. In this paper, we propose a Three Stage Approach (TSA) for grid task scheduling. The stages are threshold, queuing using priority assignment and resource selection. Our experimental results and analysis shows better results than traditional scheduling algorithms like Minimum Execution Time (MET), Minimum Completion Time (MCT), Min-Min and Max-Min. Our approach provides optimum solution or a solution close to optimum.

关键词： three-stage approach scheduling grid environment makespan resource utilization sufferage

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Services for Numerical Simulations and Optimizations in grids

Services for Numerical Simulations and Optimizations in Grid...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Limmer, Steffen Schneidert, Andre Boehme, Christian Fey, Dietmar Schmitz, Simon Graupner, Achim Suelzle, Martin Univ Erlangen Nurnberg Chair Comp Sci Architecture Martensstr 3 D-91058 Erlangen Germany Fraunhofer Inst Integrated Circuits IIS Design Automat Div EAS D-01069 Dresden Germany GWDG D-37077 Gottingen Germany ZMD AG D-01109 Dresden Germany IIEQUIcon Software GmbH D-07745 Jena Germany

ISBN: (纸本)9781467329255;9781467329224

Numerical simulations are typically very compute intensive. A way to satisfy the arising demands for compute power is the employment of grid technology. But today, there exist only few tools, supporting the user in using grids for numerical simulations. Additionally, some basic problems of grid technology, are not solved with satisfaction. The goal of the project OptiNum-grid was, to address these issues. We present a number of tools that were developed in the project. These are tools for parameter sweeps and optimizations in grids, for data security and automatic software installation, as well as for virtual environments in grids.

关键词： grid globus numerical simulation optimization parameter sweep virtualization encryption

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A Two-Step QoS Priority for Scheduling in grid

A Two-Step QoS Priority for Scheduling in Grid

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Panda, Sanjaya Kumar Khilar, Pabitra Mohan Natl Inst Technol Dept Comp Sci & Engn Rourkela India

ISBN: (纸本)9781467329255;9781467329224

Quality of Service (QoS) is an important property of Scheduling. Demand of QoS is varying from application to application. In the case of scheduling, it is nothing but task and processor requirements. Task requirement refers to bandwidth, speed, operating system, architecture and many more of the processor. But, processor requirement refers to data size, location, deadline, trust level and many more of the task. Our goal is to match and schedule the task-processor pair which leads to reduction in Makespan. In this paper, we propose a two-step QoS priority for scheduling in grid. Bounded and unbounded priorities are introduced as a two-step priority. Based on the priority, tasks are schedule to the processor. Our experiment case shows optimum result than previous scheduling algorithms like Min-Min, QoS guided Min-Min algorithm.

关键词： Quality of Service scheduling makespan priority sufferage

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Hierarchical composition of coordinated checkpoint with pessimistic message logging

Hierarchical composition of coordinated checkpoint with pess...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： ndiaye, ndeye Massata Sens, Pierre Thiare, Ousmane Gaston Berger Univ Dept Comp Sci BP 234 St Louis Senegal

ISBN: (纸本)9781467329255;9781467329224

grid computing mutualizes more computing resources working in a calculation or a common task. The increase in the number of components in the system leads also increases the number of fault. These failures result in a loss of several cycles of running applications. It is therefore essential to be able to tolerate faults so that the computation can continue to execute and finish despite failures, all while maintaining maximum performance. One advantage of coordinated checkpoint is its capacity to have a very low overhead as long as the execution stays fault free. On the contrary, due to the fact that uncoordinated checkpoint requires being complemented by a message log protocol, this adds a significant penalty for all message transfers, even in case of fault-free execution. With message log, these problems do not arise simply because it processes checkpoint and restart autonomously. These differences suggest that the best approach depend on the fault frequency. In this paper, we propose a hierarchical composition of algorithms: Chandy-Lamport protocol and pessimistic message logging protocol. We have implemented and compared the performance of these protocols in grid computing using the Omnet++ simulator [3].

关键词： grid computing coordinated checkpointing chandy-lamport pessimistic message logging

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Resource Pricing Strategy in Wireless grid Using Non-cooperative Bargaining Game

Resource Pricing Strategy in Wireless Grid Using Non-coopera...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Birje, Mahantesh N. Manvi, Sunilkumar S. Das, Sajal K. Basaveshwar Engn Coll Dept ISE Bagalkot 587102 India REVA ITM Dept ECE Bangalore 560064 Karnataka India Univ Texas Arlington TX 76019 USA

ISBN: (纸本)9781467329255;9781467329224

The consumers in a wireless grid will prefer reliable and cost optimal resources for job execution, while the grid service providers prefer efficient utilization of their resources. Hence brokering of resources that meet the requirements of consumers and providers is a challenging task in presence of unstable (wireless) network connections, market dynamics and rational users. This paper models a resource pricing strategy using a non-cooperative bargaining game for resource allocation considering dynamics in the grid market. The proposed scheme is simulated to evaluate the performance parameters like offered price, surplus, negotiation time and job completion time. We observed that our scheme performs better than existing scheme in terms of negotiation time and job completion time.

关键词： Wireless grid resource allocation game theory non-cooperative bargaining game

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Interoperability of WiFi and WiMAX

Interoperability of WiFi and WiMAX

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Dutta, Nitul Biradar, Sangappa Ramachandra Sikkim Manipal Inst Technol Majitar 737136 Sikkim India Mody Inst Technol & Sci Lakshmangarh 332311 Rajasthan India

ISBN: (纸本)9781467329255;9781467329224

The aim of this paper is to explore the two most popular wireless networks ieee 802.11 and ieee 802.16 with a view to examine the challenges and issues involved in the integration of both the networks. The 802.11 or Wireless Fidelity (WiFi) is a low cost wireless access technology that supports low data rate within a short range. On the contrary, the ieee 802.16 or WiMAX (Worldwide Interoperability for Microwave Access or) is a costly network that support a data rate of 70Mbps within the range of 50km. To provide guaranteed and satisfactory service quality with moderate cost in wireless environment, integration of the two network technology is necessary. The difference in the MAC layer protocol and routing mechanism the interoperability of the two networks are challenging. In this paper, a brief discussion on WiFi and WiMAX issues are carried out, and investigated various methods and challenges for interoperation of WiFi and WiMAX technology.

关键词： ieee 802.11 ieee 802.16 WiFi WiMAX

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Adaptive Execution and Performance Tuning of parallel Jobs in Computational Desktop grid Using gridGain

Adaptive Execution and Performance Tuning of Parallel Jobs i...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Reddy, Hemant Kumar Patra, Manas Roy, Diptendu Sinha Department of CSE National Institute of Science & Technology India

ISBN: (纸本)9781467329255

Desktop grids, which use the idle cycles of desktop pes of small enterprises and institutions, usually are equipped with hundreds or thousands of desktops, mainly used for office tasks. Such grids vary markedly from conventional grids (multi-site clusters) in terms of their dynamic nature. This calls for the need of new scheduling algorithms, tailor-made for such systems. Since the nature of such desktop grids attract highly parallel algorithms, designing efficient scheduling algorithms of parallel jobs on desktop grids become worthwhile research issue. In this paper an adaptive scheduling mechanism for desktop grids has been presented, where tasks are initially assigned to different available grid resources based on a resource selection algorithm. The resource selection algorithm, which works in an online mode, selects resources based on given set of parameters and previous execution log in an adaptive (flexible) manner. Execution log helps to decide in choosing the most relevant computational parameter depending upon the tasks that are assigned to grid resources. Later, during task execution, if performance of any task degrades, then adaptive algorithm assists the scheduling policy to adapt the system to achieve the high throughput by rescheduling to either the server node or to the best available local node at present. This method can also deal with the unpredictable execution conditions commonly encountered on desktop grids. In this paper, gridGain 2.0 has been used for setting up desktop grid test bed and the performance of the aforesaid adaptive scheduling algorithm has been presented.

关键词： adaptive execution desktop grid grid gain rescheudling performance tuning

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Comparative Performance Analysis of Routing Protocols in Mobile Ad Hoc Networks under JellyFish Attack

Comparative Performance Analysis of Routing Protocols in Mob...

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2nd ieee international conference on parallel, distributed and grid computing (pdgc)

作者： Wazid, Mohammad Kumar, Vipin Goudar, R. H. Graph Era Univ Dept CSE Dehra Dun Uttar Pradesh India

ISBN: (纸本)9781467329255;9781467329224

A mobile ad hoc network is much more assailable to attacks than a wired network due to its limited physical security, high mobility and lack of centralized administration. Jellyfish is a new denial of service attack. There are three kinds of JellyFish attacks i. e. JF Reorder Attack, JF Periodic Dropping Attack, JF Delay Variance Attack. In JF delay variance attack, intruder node needs to intrude into forwarding group and then it delays data packets for some amount of time before forwarding. Due to JF delay variance attack, high end- to- end delay takes place in the network and performance of the network (i. e. throughput etc) becomes worse. In our paper we have done a comparative performance analysis of three reactive routing protocols i. e. AODV, DSR and TORA used in mobile ad hoc network under JF delay variance attack with increasing node density. If we have a mobile ad hoc network in which probability of occurrence of JF attack is high and also if it requires time efficient network service for information exchange with increasing number of nodes then we have to choose DSR protocol. If it requires high throughput and consistent service in the network with increasing node density then TORA protocol is recommended.

关键词： JF Delay Variance Attack 2ACK AODV DSR TORA

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Message from the BigDataMR2012 workshop chairs

Message from the BigDataMR2012 workshop chairs

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2nd international conference on Cloud and Green computing, CGC 2012, Held Jointly with the 2nd international conference on Social computing and Its Applications, SCA 2012

作者： Zhang, Xuyun Pandey, Suraj Li, Xiaolin Chen, Jinjun University of Technology Sydney NSW Australia IBM Australia University of Florida United States

ISBN: (纸本)9780769548647

The First international Symposium on Big Data and MapReduce (BigDataMR2012) is co-located with the Second international conference on Cloud and Green computing (CGC2012) held on November 1-3, 2012, Xiangtan, Hunan, China. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs;and are of large size (Volume) with fast data in/out (Velocity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. MapReduce is a distributed programming paradigm and an associated implementation to support distributed computing over large datasets on cloud. This symposium aims at providing a forum for researchers, practitioners and developers from different background areas such as cloud computing, distributed computing and database area to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about big data and MapReduce in cloud environments. BigDataMR2012 contains 9 papers. Each of them was peer reviewed by at least three program committee members. The symposium covers a broad range of topics in the field of Big Data and MapReduce. © 2012 ieee.

关键词： MapReduce

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