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检索条件"机构=Multi-Agent and Cloud Computing Systems Laboratory"

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A scheduling mechanism for multiple MapReduce jobs in a workflow application (position paper)

A scheduling mechanism for multiple MapReduce jobs in a work...

引用

computing, Communications and Applications Conference (ComComAp)

作者： Dongjin Yoo Kwang Mong Sim Multi-Agent and Cloud Computing Systems Laboratory School of information and Communication Gwangju Institute of Science and Technology Gwangju South Korea

MapReduce is currently an attractive model for data intensive application due to easy interface of programming, high scalability and fault tolerance capability. It is well suited for applications requiring processing large data with distributed processing resources such as web data analysis, bio informatics, and high performance computing area. There are many studies of job scheduling mechanism in shared cluster for MapReduce. However there is a need for scheduling workflow service composed of multiple MapReduce tasks with precedence dependency in multiple processing nodes. The contribution of this paper is proposing a scheduling mechanism for a workflow service containing multiple MapReduce jobs. The workflow application has precedence dependency constraints among multiple tasks, represented as directed acyclic graph (DAG). Also, for less data transfer cost in limited bisection bandwidth, data dependency criterion should be considered for scheduling multiple map-reduce jobs in a workflow. The proposed scheduling mechanism provides 1) scheduling MapReduce tasks regarding precedence constraints and 2) pre-data placement method considering data dependency constraints for saving data transfer cost over network.

关键词： Processor scheduling Distributed databases Fault tolerance Fault tolerant systems Synchronization cloud computing Computational modeling

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A Locality Enhanced Scheduling Method for multiple MapReduce Jobs In a Workflow Application

A Locality Enhanced Scheduling Method for Multiple MapReduce...

引用

2012 International Conference on Information and Computer Applications (ICICA 2012)

作者： Dongjin Yoo Kwang Mong Sim Multi-Agent and Cloud Computing Systems Laboratory School of information and Communication Gwangju Institute of Science and Technology(GIST)GwangjuRepublic of Korea

MapReduce is an emerging paradigm processing massive data over computing *** provides an easy programming interface,high scalability,and fault *** achieving better performances,there were many scheduling issues for map-reduce jobs in shared cluster *** particular,there is a need for scheduling workflow services composed of multiple MapReduce tasks with precedence dependency in shared cluster *** using the list scheduling approach,the issue of precedence constraints can be *** major factor affecting the performances of map-reduce jobs is locality constraints for reducing data transfer cost in limited bisection *** multiple map-reduce jobs in a workflow are running in shared clusters,when placing data sets,concurrency also should be considered for locality *** proposed scheduling approach provides 1) a data pre-placement strategy for improvement of locality and concurrency and 2) a scheduling algorithm considering locality and concurrency.

关键词： MapReduce,Scheduling,Workflow Application,Data Intensive computing,cloud computing

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Contracting of web services with constraint handling rules

Contracting of web services with constraint handling rules

引用

2012 IEEE 8th World Congress on Services, SERVICES 2012

作者： Chen, Ruoyu Liao, Lejian Fang, Zhi Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications Multi-living-agent Information System Key Laboratory Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9780769547565

In e-service environment, service contract is important for assurance of business interoperability and quality of services. Combining service contract and process model will facilitate analyzing service process and monitoring service execution. This paper proposes a service modeling approach consists of service contract and process model. Service contracts are used as service advertisement and service request in this approach. The operational semantics of service contract and process model are translated into Constraint Handling Rules(CHR) program by a compiler. Based on this approach, a concept named service contracting is defined as a phase between service discovery and execution, which checks the consistency of service advertisement and process model as well as the the applicability of services w.r.t. the consumer's capabilities. Further, constraint solver centered implementation is designed, the modeling and contracting of web services under this architecture is illustrated. © 2012 IEEE.

关键词： Web services

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Web Question Answering based on CCG parsing and DL ontology

Web Question Answering based on CCG parsing and DL ontology

引用

International Conference on Information Science and Digital Content Technology

作者： Peng Li Lejian Liao Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications Multi-living-agent Information System Key Laboratory and Beijing Laboratory of Intelligent Information Technology School of Computer Scienc

ISBN: (纸本)9781467312882

This paper presents a novel WQA (Web Question Answering) approach based on the combination CCG (Combinatory Categorial Grammar) and DL (Description Logic) ontology, in order to promote semantic-level accuracy through deep text understanding capabilities. We propose to take DL based semantic modeling, i.e., translating lambda-expression encoding of question meaning into DL based semantic representations. The advantage of such approach is a seamless exploitation of existing semantic resource coded as DL ontology, which is widespread in such area as the Semantic Web and conceptual modeling. The experiments are conducted with a repository of complex Chinese questions which involves the satisfaction of some object property restrictions. The experimental results show that producing the semantic representations with the combination of CCG parsing and DL reasoning is an effective approach for question understanding at semantic level, in terms of both understanding accuracy promotion and semantic resource exploitation.

关键词： Semantics Ontologies Syntactics Grammar Cognition Accuracy Semantic Web

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A COMPARATIVE REVIEW OF JOB SCHEDULING FOR MAPREDUCE

A COMPARATIVE REVIEW OF JOB SCHEDULING FOR MAPREDUCE

引用

2011 IEEE International Conference on cloud computing and Intelligence systems(CCIS2011)

作者： Dongjin Yoo Kwang Mong Sim Multi-Agent and Cloud Computing Systems Laboratory School of Information and CommunicationGwangju Institute of Science and Technology(GIST)

MapReduce is an emerging paradigm for data intensive processing with support of cloud computing *** provides convenient programming interfaces to distribute data intensive works in a cluster *** strengths of MapReduce are fault tolerance,an easy programming structure and high scalability.A variety of applications have adopted MapReduce including scientific analysis,web data processing and high performance *** Intensive computing systems,such as Hadoop and Dryad,should provide an efficient scheduling mechanism for enhanced utilization in a shared cluster *** problems of scheduling mapreduce jobs are mostly caused by locality and synchronization ***,there is a need to schedule multiple jobs in a shared cluster with fairness *** introducing the scheduling problems with regards to locality,synchronization and fairness constraints,this paper reviews a collection of scheduling methods for handling these issues in *** addition,this paper compares different scheduling methods evaluating their features,strengths and *** resolving synchronization overhead,two categories of studies;asynchronous processing and speculative execution are *** fairness constraints with locality improvement,delay scheduling in Hadoop and Quincy scheduler in Dryad are discussed.

关键词： MapReduce,Job Scheduling,Locality,Fairness

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agent-Based Adaptive Resource Allocation on the cloud computing Environment

Agent-Based Adaptive Resource Allocation on the Cloud Comput...

引用

International Conference on Parallel Processing Workshops (ICPPW)

作者： Gihun Jung Kwang Mong Sim Multi Agent and Cloud Computing System laboratory School of Information and Technology Gwangju Institute of Science and Technology Gwangju South Korea

Since both consumers and data centers of a cloud service provider can be distributed in geographically, the provider needs to allocate each consumer request to an appropriate data center among the distributed data centers, so that the consumers can satisfy with the service in terms of fast allocation time and execution response time. In this paper, we propose an adaptive resource allocation model that allocates the consumer's job to an appropriate data center. The method to adaptively find a proper data center is based on two evaluations: 1) the geographical distance (network delay)between a consumer and data centers, and 2) the workload of each data center. The proposed model is implemented in an agent based test bed. The test bed simulates a cloud computing environment adopting the proposed adaptive resource allocation model. Empirical results were obtained from simulations using the test bed. The results suggest that the proposed model can successfully allocate consumers' requests to the data center closest to each consumer. Also, the proposed model shows a better response time for allocation than related resource allocation models.

关键词： Resource management Adaptation models Monitoring Data models Delay Distributed databases Computational modeling

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One Day Smart Grid Supersession - Analytics and Integration

One Day Smart Grid Supersession - Analytics and Integration

引用

General Meeting of the IEEE-Power-and-Energy-Society (PES)

作者： Liu, W-H Edwin McArthur, Stephen Giri, Jay Miu, Karen Pratt, Rob Wen, Jun Uluski, Bob Dow, Luther Labut, Gerard IEEE Computing and Analytical Methods Subcommittee United States IEEE PES Intelligent Systems Subcommittee United States IEEE PES Multi-Agent System Working Group United States Power Systems Technology and Strategic Initiatives ALSTOM Grid Redmond WA United States Electrical and Computer Engineering Department Drexel University United States Pacific Northwest National Laboratory's (PNNL's) Smart Grid R and D Program U.S. Department of Energy United States Transmission and Interconnection Planning Group Southern California Edison (SCE) Company United States WECC Modeling and Validation Working Group United States EPRI Power Delivery and Utilization Area United States Distribution and West Coast Operations Quanta Technology United States Distribution Operations SmartCurrentssm Program Strategy DTE Energy Detroit MI United States

ISBN: (纸本)9781457710018

The effort of "Smart Grid" is to modernize grid infrastructure and build-in intelligence to power grids and delivery systems, and their interfaces to customer premises. However, the perspectives range from an emphasis on infrastructure to an emphasis on new paradigm-shifting applications. Alternatively, the smart grid can be thought of as the advanced information technologies that enable the desired analytical applications. As a general understanding, we believe that Smart Grid needs to integrate power system analysis, computing and economics to enhance grid reliability, efficiency, and security, and contributes to the climate change strategic goal. In this Supersession, the analytics that empowers smart grid applications is discussed;and the practical implementation and integration challenges will be presented.

关键词： smart grid analytical applications system integration

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