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Communication partner identification in distributed job workflow execution over the grid

Communication partner identification in distributed job work...

引用

25th IEEE international conference on distributed computing Systems

作者： Feng, YH Cai, WT Cao, JN Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)0769523285

Mobile agent based distributed job workflow execution is a promising paradigm for data intensive collaborative scientific computations over the grid. In this paper a Mobile Code Collaboration Framework (MCCF)for distributed job workflow execution over the grid is described and an algorithm to identify partners for agent communication in MCCF is presented. Previous work of mobile agent communication focuses mainly on agent location and communication. Little work has been done on communication partner identification. In MCCF a novel subjob grouping algorithm for preprocessing the job workflow's static specification is developed. The obtained information will then be used during runtime to identify partners for agent communication. The mobile agent dynamic location and communication based on this approach will limit the number of agents required for communication during the dynamic job workflow execution. The algorithm is evaluated through a comparison study using simulated job workflows executed on a prototype implementation of the MCCF. The results show that the algorithm is scalable and efficient.

关键词： grid computing distributed job workflow execution mobile agent communication communication partner identification

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High-performance grid computing via distributed data access

High-performance grid computing via distributed data access

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international conference on Parallel and distributed Processing Techniques and Applications

作者： Andrews, P Banister, B Kovatch, P San Diego Supercomp Ctr San Diego CA USA

ISBN: (纸本)1932415262

The conventional approach to grid computing is to utilize an additional level of user interface software ("middleware") to allow the users access the extra requirements for grid computing in the areas of authentication, scheduling and data transport. This paradigm allows the layering of new capabilities on top of existing systems, but requires a conscious effort for their utilization. In addition many supercomputing applications have extremely large data transfer requirements and for them, this approach may be highly inefficient, or even unworkable. In this paper we describe several approaches where the data transfers associated with very large applications are addressed in a way completely transparent to the user. Each one has been implemented in an experimental mode, and where possible we provide performance numbers. Possibilities for production responsibilities are discussed.

关键词： distributed computer systems

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AGIS: The ATLAS grid Information System

AGIS: The ATLAS Grid Information System

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20th international conference on computing in High Energy and Nuclear Physics (CHEP)

作者： Anisenkov, A. Di Girolamo, A. Klimentov, A. Oleynik, D. Petrosyan, A. Budker Inst Nucl Phys Novosibirsk 630090 Russia CERN ES Dept CH-1211 Geneva Switzerland Brookhaven Natl Lab Upton NY 11973 USA Joint Inst Nucl Res Informat Technol Lab Dubna Russia

ATLAS, a particle physics experiment at the Large Hadron Collider at CERN, produced petabytes of data annually through simulation production and tens of petabytes of data per year from the detector itself. The ATLAS computing model embraces the grid paradigm and a high degree of decentralization and computing resources able to meet ATLAS requirements of petabytes scale data operations. In this paper we describe the ATLAS grid Information System (AGIS), designed to integrate configuration and status information about resources, services and topology of the computing infrastructure used by the ATLAS distributed computing applications and services.

关键词： distributed computer systems

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distributed memory caching for the fail safe computation to improve the grid performance

Distributed memory caching for the fail safe computation to ...

引用

international conference on Computer and Information Technology

作者： Ismail, Sabir Shumon, Abu Fazal Md. Amin, Md. Ruhul Dept. of CSE Shahjalal University of Science and Technology Sylhet Bangladesh

ISBN: (纸本)9781424484973

grid computing organizes geographically distributed resources under a single platform and let the users access this combined power. In this paper we have discussed the application of distributed memory caching system in the grid computing environment to improve its computational environment. For our experiment, we used Alchemi, a .net based grid computing framework and Memcached, a distributed memory caching technique. We completed couple of experiments in this environment and they demonstrated two very important outcomes. One of the outcomes outlined that distributed memory caching technique can provide fail safe computation for the grid environment. The second result represented the reduction of the total computational time of the grid applications. Based on the results of these current experiments and also previous experiments completed in our distributed computing laboratory we have proposed a new technique for the grid computing environment that can provide performance improvement as well as the fail safe grid computing environment. ©2010 IEEE.

关键词： grid computing

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Load Balancing Techniques in grid Environment: A Survey

Load Balancing Techniques in Grid Environment: A Survey

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3rd international conference on Computer Communication and Informatics (ICCCI)

作者： Raj, Joshua Samuel Fiona, Rex Karunya Univ Dept Comp Sci & Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781467329071;9781467329064

Though tremendous work has been done in the field of grid computing, due to the two challenging aspects (i.e. load balancing and scheduling) it is hindered from being beneficial to large -scale distributed parallel applications. This paper provides a survey of various techniques to address the challenges in grid computing. We classify the surveyed approaches based on their objective functions into two categories: Application Centric, Resource Centric.

关键词： Adaptive computing grid computing load balancing objective function Task scheduling

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Stochastic workflow scheduling with QoS guarantees in grid computing environments

Stochastic workflow scheduling with QoS guarantees in grid c...

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5th international conference on grid and Cooperative computing (GCC 2006)

作者： Afzal, Ali Darlington, John McGough, A. Stephen Univ London Imperial Coll Sci Technol & Med Dept Comp S Kensington Campus London SW7 2AZ England

ISBN: (纸本)9780769526942

grid computing infrastructures embody a cost-effective computing paradigm that virtualises heterogenous system resources to meet the dynamic needs of critical business and scientific applications. These applications range from batch processes and long-running tasks to more real-time and even transactional applications. grid schedulers aim to make efficient use of grid resources in a cost-effective way, while satisfying the Quality-of-Service requirements of the applications. Scheduling in such a large-scale, dynamic and distributed environment is a complex undertaking. In this paper, we propose an approach to grid scheduling which abstracts over the details of individual applications and aims to provide a globally optimal schedule, while having the ability to dynamically adjust to varying workload demands using various capacity planning techniques. Our model places particular emphasis on the stochastic and upredictable nature of the grid, leading to a more accurate reflection of the state of the grid and hence more efficient and accurate scheduling decisions.

关键词： grid computing

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Deployment of Solving Permutation Flow Shop Scheduling Problem on the grid 1

引用

international conference on grid and distributed computing/international conference on Control and Automation

作者： Kouki, Samia Jemni, Mohamed Ladhari, Talel Ecole Super Sci & Tech Tunis Res Lab UTIC Tunis Tunisia Ecole Polytech Tunisie Lab Math Engn Tunis Tunisia

ISBN: (数字)9783642176258

ISBN: (纸本)9783642176241

This paper describes a parallel algorithm solving the m-machines, n-jobs, permutation flow shop scheduling problem as well as its deployment on a grid of computers (grid'5000). Our algorithm is basically a parallelization of the well known Branch and Bound method, which is an exact method for solving combinatorial optimization problems. We present, in particular, a new strategy of parallelization which uses some directives of communication between all processors in order to update the value of the Upper Bound. The purpose is to obtain the optimal scheduling of all the jobs as quickly as possible by modifying and adapting the classical sequential Branch and Bound method. The deployment of our application on the grid gives good results and permits the resolution of new instances not yet resolved.

关键词： grid computing Scheduling Permutation Flow Shop B&B algorithm parallel algorithms Parallel computing

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Performance of a heterogeneous grid partitioner for N-body applications

Performance of a heterogeneous grid partitioner for N-body a...

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international conference on Parallel Processing

作者： Harvey, DJ Das, SK Biswas, R So Oregon Univ Dept Comp Sci Ashland OR 97520 USA

ISBN: (纸本)0769520170

An important characteristic of distributed grids is that they allow geographically separated multicomputers to be tied together in a transparent virtual environment to solve large-scale computational problems. However, many of these applications require effective runtime load balancing for the resulting solutions to be viable. Recently, we developed a latency tolerant partitioner, called MinEX, specifically for use in distributed grid environments. This paper compares the performance of MinEX to that of METIS using simulated heterogeneous grid configurations. A solver for the classical N-body problem is implemented to provide a benchmark for the comparisons. Simulation results show that MinEX provides superior quality partitions while being competitive to METIS in speed of execution.

关键词： grid computing resource allocation N-body problems virtual environment load balancing latency tolerant partitioner MinEX distributed grid environment METIS heterogeneous grid partitioner performance N-body problem Many body problem Load balancing Virtual environments Metis grid computing Resource utilization management of resources

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grid deployment of legacy bioinformatics applications with transparent data access 06

Grid deployment of legacy bioinformatics applications with t...

引用

7th IEEE/ACM international conference on grid computing

作者： Blanchet, Christophe Mollon, Remi Thain, Douglas Deleage, Gilbert Univ Lyon 1 CNRS UMR 5086 IBCPIFR128Inst Biol & Chim Prot Passage Vercors F-69367 Lyon 07 France Univ Notre Dame Dept Comp Sci & Engn Notre Dame IN 46556 USA

ISBN: (纸本)9781424403431

Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed bioinformatics were designed long before grid computing arose, and thus are created, tested, and validated in the familiar environment of a workstation. Most perform simple local I/O and have no facility for interfacing with a distributed system. Because of these limitations, users of bioinformatics applications are generally constrained to creating large local clustered systems in order to perform data analysis. In order to deploy these applications in wide-area grid systems, users require a transparent mechanism of attaching legacy interfaces to grid I/O systems. We have explored this problem by deploying several bioinformatics databases and programs for protein sequence analysis on the European EGEE grid. Using tools for transparent adaptation, we have connected legacy applications to the logical namespace provided by a replica manager, and compared the performance of remote access versus file staging. For common bioinformatics applications, we find that remote access has performance equal or better than simple file staging, with the added advantage that users are freed from stating the data needs of applications in advance.

关键词： Bioinformatics grid computing Application software Testing Joining processes Genomics Biology computing Biological information theory distributed databases Computer science

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How to build a high-performance compute cluster for the grid

How to build a high-performance compute cluster for the Grid

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30th international conference on Parallel Processing (ICPP Workshops)

作者： Reinefeld, A Lindenstruth, V Konrad Zuse Zentrum Informat Tech Berlin ZIB Berlin Germany

ISBN: (纸本)0769512607

The success of large-scale multi-national projects like the forthcoming analysis of the LHC particle collision data at CERN relies to a great extent on the ability to efficiently utilize computing and data-storage resources at geographically distributed sites. Currently, much effort is spent on the design of grid management software (Datagrid, Globus, etc.), while the effective integration of computing nodes has been largely neglected up to now. This is the focus of our work. We present a framework for a high-performance cluster that can be used as a reliable computing node in the grid. We outline the cluster architecture, the management of distributed data and the seamless integration of the cluster into the grid environment.

关键词： grid computing resource management cluster architecture distributed data-intensive applications

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