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Cooperative Communication System for Parallel Computing Agents in Multi-cluster Grid
[chapter]
2008
Lecture Notes in Computer Science
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This paper proposed a cooperative communication system for parallel computing agents in multi-cluster grid that is composed of many computer-clusters connected by Intranet. ...
Paper [12] implements a middleware for agent communication. But all these methods can't satisfy the need of parallel computing in dynamic multi-cluster grid. ...
Constructing cooperative communication system, which is independent system from the computing agent system, we can increase the speed-up of parallel computing task and effectively use the memory resources ...
doi:10.1007/978-3-540-88140-7_20
fatcat:4eac4vzkjbfa5ifx766qqfmoy4
Distributed C-Means Algorithm for Big Data Image Segmentation on a Massively Parallel and Distributed Virtual Machine Based on Cooperative Mobile Agents
2015
Journal of Software Engineering and Applications
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The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. ...
the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will ...
It is based on a parallel and distributed grid computing that cooperates with the power of processors from heterogeneous computers by forming a distributed system for parallel computing. ...
doi:10.4236/jsea.2015.83011
fatcat:w7xtfxpqmfa5fhwfnila35wiye
A Comparative study of Multi Agent Based and High-Performance Privacy Preserving Data Mining
2010
International Journal of Computer Applications
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The purpose is to combine different algorithms of data mining to prepare elements for decision-makers, benefiting from the possibilities offered by the multi-agent systems. ...
The individual parties involved in the data mining process need a way to bring high-performance, parallel computers to bear on the computationally intensive parts of the PPDM tasks. ...
Program Structure In order to bridge computations on a grid or cluster with DDM/PPDM computations, a simplified interface is needed. ...
doi:10.5120/876-1247
fatcat:6uvgi6jyz5bwliexqcg7qaisiy
Big Data Processing by Volunteer Computing Supported by Intelligent Agents
[chapter]
2015
Lecture Notes in Computer Science
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In this paper, volunteer computing systems have been proposed for big data processing. Moreover, intelligent agents have been developed to efficiency improvement of a grid middleware layer. ...
In consequence, an intelligent volunteer grid has been equipped with agents that belong to five sets. The first one consists of some user tasks. ...
This research is supported by Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology under statutory activity grant. ...
doi:10.1007/978-3-319-19941-2_26
fatcat:ui2yx3ualfb4hbwlehy7skolr4
MULTIAGENT METHODS OF MANAGEMENT OF DISTRIBUTED COMPUTING IN HYBRID CLUSTERS
2022
Advanced Information Systems
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The use of multi-agent systems for task planning in Grid systems will solve two main problems - scalability and adaptability. ...
The article considers a multi-agent system that provides integration of the computational management approach for a cluster Grid system of computational type, the nodes of which have a complex hybrid structure ...
In [9] methods and tools for managing problemoriented [8] distributed computing in a cluster Grid system are used. Bychkov I. V. ...
doi:10.20998/2522-9052.2022.1.05
fatcat:4xfbmy5mgzbuxicqnsbz2ddrjq
Cooperative Agent Learning Model in Multi-cluster Grid
[chapter]
2011
Advances in Reinforcement Learning
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In the multi-cluster environment, using resources effectively is very difficult for the grid computing, however, a good learning model can improve the intelligence of multi-agent and also can raise the ...
The core of Grid Computation Environment is MAS (Multi-Agent System) which is composed of multi-Agents system.MAS can manage the Grid resources, do match works between the two kinds of the migration computations ...
Cooperative Agent Learning Model in Multicluster Grid, Advances in Reinforcement Learning, Prof. ...
doi:10.5772/13692
fatcat:pkrikwvjhrfchetgbtgodzd4dy
An agent architecture for managing data resources in a grid environment
2009
Future generations computer systems
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MAPFS is intended for clusters of workstations, where the agent technology is applied in order to provide a communication model between agents with different roles. ...
One of this initiative is the definition of MAPFS, a parallel file system based on a multiagent architecture. The use of a multiagent system implies coordination and cooperation among its agents. ...
MAPFS (Multi Agent Parallel File System) has been developed at the Universidad Politécnica de Madrid in 2003. ...
doi:10.1016/j.future.2008.07.011
fatcat:qgspm6wanre3hlho7dsecpfb54
Efficient Model for Distributed Computing based on Smart Embedded Agent
2017
International Journal of Advanced Computer Science and Applications
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Cooperation, autonomy, and mobility made the agent a promising mechanism for embedded devices. ...
We propose then a new concept of distributed classification using multi-agent systems based on JADE and Raspberry PI 2 devices. ...
uses agent potential to create a cooperative multi agent platform. ...
doi:10.14569/ijacsa.2017.080214
fatcat:xkdwhr5scnbuvcd43bbbw6w6ey
A Transition from Traditional Checkpointing towards Multi-Agent based Approaches
2010
Journal of clean energy technologies
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Index Terms-middleware approach, multi-agent, fault tolerance, parallel computing systems. ...
The work reported in this paper, proposes a multi-agent based approach for fault tolerance. ...
CONCLUSIONS In this paper, a multi-agent fault tolerance approach for parallel computing systems has been proposed. ...
doi:10.7763/ijcte.2010.v2.228
fatcat:fryttfct2vhmjon7xwpobilmni
Large scale multiagent simulation on the grid
2005
CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.
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In: Veit, D.; et al. (eds.): Proceedings of the Workshop on Agent-based grid Economics (AGE 2005) at the IEEE International Symposium on Cluster Computing and the Grid (CCGRID). ...
Simulating large scale, distributed systems of autonomous decision-makers, e.g. global logistics supply networks, is a huge challenge for hardware & software infrastructure as well as managing the process ...
Acknowledgement Parts of this research is funded by the German Research Foundation (DFG) within the Collaborative Research Centre 637 "Autonomous Cooperating Logistic Processes: A Paradigm Shift and its ...
doi:10.1109/ccgrid.2005.1558574
dblp:conf/ccgrid/TimmP05
fatcat:p7pqyxggq5d5ngbrqh4jhsy7l4
Automatic Leukocyte Image Segmentation: A review
2015
2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA)
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of Sydney, Australia, 2007 Distributed Multi-Agent Systems technology to achieve dynamic load balancing (Or :A Dynamic Load-balancing strategy for Multi-agent Distributed System, DLMDS) Game theoretical ...
Muñoz-Caro, Future Generation Computer Systems, Vol. 25, No. 6, pp. 617-626, 2009 Enhanced parallel loop self-scheduling for heterogeneous multi-core cluster systems, Chao-Chin Wu; 10 th YS Liu, ...
, Emergent and Distributed Systems, Vol 13, Issue 4 , pages 289-305, 1999 Developments and trends in the parallel solution of linear systems IS Duff, HA Van Der Vorst, Parallel Computing, Vol25, Issues ...
doi:10.1109/stsiva.2015.7330393
fatcat:gpelamofffeonj5njur5adpwv4
Cooperative multi-agent inference over grid structured Markov random fields
2011
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
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In this work we investigate cooperative inference in multi-agent systems where uncertainty is modeled by the grid structured pairwise Markov random field. ...
Both synchronous and intelligent message passing are considered and a grid scale-invariant scheme based on the notion of regions of influence in a cluster graph is presented. ...
We believe that with the recent explosion in computational power and parallelism our approximate algorithms represent a viable option for efficient spatial mapping in realistic multi-agent deployments. ...
doi:10.1109/iros.2011.6048557
fatcat:episkpol5rehtn7whjhl2ydklq
Cooperative multi-agent inference over grid structured Markov random fields
2011
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
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In this work we investigate cooperative inference in multi-agent systems where uncertainty is modeled by the grid structured pairwise Markov random field. ...
Both synchronous and intelligent message passing are considered and a grid scale-invariant scheme based on the notion of regions of influence in a cluster graph is presented. ...
We believe that with the recent explosion in computational power and parallelism our approximate algorithms represent a viable option for efficient spatial mapping in realistic multi-agent deployments. ...
doi:10.1109/iros.2011.6094872
dblp:conf/iros/WilliamsS11
fatcat:ul6h3iqysfeefntdnriqvpck5e
High Dimensional Problem Optimization Using Distributed Multi-agent PSO
2009
2009 Third UKSim European Symposium on Computer Modeling and Simulation
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In this work we present a simple yet effective multi-agent approach to apply distributed particle swarm optimization to meet such demand. ...
A computational complexity analysis also shows the superiority of the proposed architecture to be used in other large scale application. ...
Multi-agent system for heterogenous environment Nowadays Grid technology [9] provides us with simultaneous and effective use of distributed computational and informational resources. ...
doi:10.1109/ems.2009.107
dblp:conf/ems/NasiriFNR09
fatcat:d3unen2cu5faphavdgzfm3cev4
Desynchronization of simulation and optimization algorithms in HPC Environment
2020
Computer Science
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Need for scalability of an algorithm is essential, when one wants to utilize HPC infrastructure in an efficient and reasonable way. ...
The paper presents a short survey of desynchronization idea, pointing out already obtained results or sketching out the future work focused on scaling the parallel and distributed computing or simulation ...
The authors utilized the PLGrid infrastructure when conducting the experiments described in this work. ...
doi:10.7494/csci.2020.21.3.3772
fatcat:5ozewww7fbgc7iq6lsyebfk5a4
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