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JCR Impact Factor: 0.699
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  3/2014 - 15

Implementing Fault-Tolerant Services in Goal-Oriented Multi-Agent Systems

BORA, S. See more information about BORA, S. on SCOPUS See more information about BORA, S. on IEEExplore See more information about BORA, S. on Web of Science
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Download PDF pdficon (865 KB) | Citation | Downloads: 256 | Views: 1,815

Author keywords
availability, fault tolerance, multi-agent systems, replication, redundancy, software agents

References keywords
agent(19), systems(14), multi(14), agents(11), fault(10), distributed(7), tolerant(5), computing(5), tolerance(4), science(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 113 - 122
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03015
Web of Science Accession Number: 000340869800015
SCOPUS ID: 84907330638

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In this paper, findings and analysis detail the implementation of fault tolerance services into a goal-oriented multi-agent systems development platform. Fault tolerance services are used to provide replication-based fault tolerance policies (i.e. static and adaptive) to multi-agent systems. This approach provided flexibility and reusability to multi-agent systems because fault tolerance policies were implemented as reusable plan structures. Thus, whenever an agent was needed to be made fault-tolerant, plans for fault tolerance policies were simply activated by sending a request message.

References | Cited By  «-- Click to see who has cited this paper

[1] A. Fedoruk and R. Deters, "Improving fault-tolerance by replicating agents," Proceedings of First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, 2002.

[2] J. Ren, M. Cukier, P. Rubel, W. Sanders, D. Karr, "Building dependable distributed applications using AQuA," Proceeding of the 4th IEEE International Symp. On High Assurance Systems Engineering, 1999, pp. 189-196.

[3] Z. Guessoum, M. Ziane, and N. Faci, "Monitoring and organizational-level adaptation of multi-agent systems," Third International Joint Conference on Autonomous Agents - AAMAS'04, ACM, New York City, 2004, pp. 514-522.

[4] S. Kumar, P. Cohen, and H. J. Levesque, "The adaptive agent architecture: Achieving fault-tolerance using persistent broker teams," Proceedings of the Fourth International Conference on Multi-Agent Systems, 2000.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 85]

[5] M. Klein and C. Dallarocas, "Exception handling in agent systems," O. Etzioni, J. P. Muller. and J. M. Bradshaw editors, Proceedings of the Third International Conference on Agents (Agents'99), Seattle, WA, 1999, pp. 62-68.

[6] S. Hagg, "A sentinel approach to fault handling in multi-agent systems, "Proceedings of the second Australian Workshop on Distributed AI, in conjunction with the Fourth Pacific Rim International Conference on Artificial Intelligence (PRICAI'96), Cairns, Australia, 1996.
[CrossRef] [SCOPUS Times Cited 40]

[7] Z. Guessoum , J.-P. Briot, Z. Charpentier, S. Aknine, O. Marin, and P. Sens, "Dynamic and adaptive replication for large-scale reliable multi-agent systems," Proc. ICSE'02 First International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'02), ACM. Orlando FL, U.S.A, 2002.

[8] Z. Guessoum, and J.-P. Briot, "From active objects to autonomous agents," IEEE Concurrency, 7(3), pp. 68-76, 1999.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 82]

[9] N. Faci, Z. Guessoum, and O. Marin, "DimaX: A fault tolerant multi-agent platform," Proc. ICSE'06 Fifth International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'06), ACM. Shangai, China, 2006.
[CrossRef] [SCOPUS Times Cited 18]

[10] K. Erol, J. Hendler, D. S. Nau, R. Tsuneto, "A critical look at critics in HTN planning," Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95), 1995, pp. 1592-1598.

[11] S. Bora and O. Dikenelli, "Implementing a multi agent organization that changes its fault tolerance policy at run-time," Proceedings of ESAW'05, Lecture Notes in Computer Science, Berlin, Germany, Department of Computer Engineering Ege University, Springer Verlag, 2006.
[CrossRef] [SCOPUS Times Cited 6]

[12] O. Dikeneli et al., "SEAGENT: A platform for developing semantic web based multi agent systems," Fourth International Joint Conference on Autonomous Agents - AAMAS05, 2005.

[13] O. Gurcan, G. Kardas, O. Gumus, E. E. Ekinci, and O. Dikenelli, "A planner for implementing semantic service agents based on semantic web services iniative architecture," The Workshop on Service-Oriented Computing and Agent-based Engineering (SOCABE'06), 2006.

[14] D. Powell, "Delta-4: A generic architecture for dependable distributed computing," in Springer Verlag, 1991.

[15] G. V. Chockler, I. Keidar, and R. Vitenberg, "Group communication specifications: A comprehensive study," ACM Computing Surveys 33(4), pp. 1-43, 2001.
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[16] F. Cristian, "Fault-tolerance in the Advanced Automation System," 20th International Conference on Fault-Tolerant Computing, Newcastle upon Tyne, England, 1990.

[17] S. Mishra, Consul: A Communication Substrate for Fault-tolerant Distributed Programs. PhD thesis, Dept. of Computer Science, Univ. of Arizona, Tuscon, Arizona 1992.

[18] N. Elmootazbellah and W. Zwaenepoel, "Replicated distributed processes," Proceedings of the Twenty-Second International Symposium on Fault Tolerant Computing (FTCS-22), 1992, pp. 18-27.

[19] M. Stollberg and F. Rhomberg, Survey on Goal-driven Architectures. Technical Report, 2006.

[20] M. Paolucci, D. Kalp, A. Pannu, O. Shehory, and K. Sycara , "A planning component for RETSINA agents," Intelligent Agents VI, LNAI 1757, N. R. Jennings and Y. Lesperance, eds., Springer Verlag, 2000.

[21] O. Shehory, K. Sycara, P. Chalasani, and S. Jha, "Agent cloning: An approach to agent mobility and resource allocation," IEEE Communications, Vol. 36, No. 7, pp. 58-67, 1998.
[CrossRef] [Web of Science Times Cited 21]

[22] K. Decker, K. Sycara, and M. Williamson, "Cloning for intelligent adaptive information agents," The Second Australian Workshop on Distributed Artificial Intelligence, Lecture Notes in Computer Science, Springer Verlag, 1996, pp. 63-75,
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[23] T. D. Chandra and S. Toueg, "Unreliable failure detectors for reliable distributed systems," Journal of the ACM, Vol.43, No.2, pp. 225-267, 1996.
[CrossRef] [Web of Science Times Cited 1061] [SCOPUS Times Cited 1463]

[24] S. Bora, and O. Dikenelli, "Applying feedback control in adaptive replication in fault tolerant multi-agent organizations," Proc. ICSE'06 Fifth International Workshop on Software Engineering for Large-Scale Multi-Agent Systems (SELMAS'06), ACM. Shangai, China, 2006.
[CrossRef] [SCOPUS Times Cited 7]

[25] S. Bora and O. Dikenelli, "Experience with feedback control mechanisms in self-replicating multi-agent systems," Proceedings of 5th International Central and Eastern European Conference on Multi-Agent Systems (CEEMAS'07), Lecture Notes in Computer Science, Springer Verlag, 2007, pp. 133-142.

References Weight

Web of Science® Citations for all references: 1,401 TCR
SCOPUS® Citations for all references: 2,121 TCR

Web of Science® Average Citations per reference: 54 ACR
SCOPUS® Average Citations per reference: 82 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-02-19 08:35 in 107 seconds.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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