A Unified Distributed Computing Framework with Mobile MultiAgent Systems and Virtual Machines for Large-Scale Applications: From the Internet-of-Things to Sensor Clouds

• Autorzy: Stefan Bosse
• Języki publikacji: EN

Abstrakty

EN

A novel and unified design approach for reliable distributed and parallel data processing in wide-area and largescale networks consisting of high- and of low-resource nodes (ranging from generic computers to microchips) using mobile agents is introduced. The development of sensor clouds of the future integrated in daily use computing environments and the Internet is enabled. Agents can migrate between different hardware and software platforms by migrating the program code of the agent, embedding the state and the data of an agent, too. Agent mobility crossing different execution platforms, agent interaction by using tuple-space databases, and agent code reconfiguration enable the design of reliable distributed sensor and information processing networks. The Agent Processing Platform exists in hardware (microchip level), software (embedded system), and simulation. This works adds a JavaScript implementation including client-side browser applications. All implementations are compatibility on operational and communication level. A graph-linked multi-broker service and a distributed coordination layer are established for this platform class to provide service ports and the access of the agent platform from the outside in browser applications, which can usually only act as clients and are usually hidden by a private network and firewalls. (original abstract)

Słowa kluczowe

EN

Internet websites; Software; Network structure

PL

Witryny internetowe; Oprogramowanie; Struktury sieciowe

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2015
• Tom: 6
• Strony: 237--246

Twórcy

autor

Stefan Bosse

• University of Bremen, Germany

Bibliografia

• ] S. Bosse, Design and Simulation of Material-integrated Distributed Sensor Processing with a Code-based Agent Platform and mobile Multi-Agent Systems, MDPI Sensors, 2015 (2), pp. 4513-4549, 2015, http://dx.doi.org/10.3390/s150204513
• S. Bosse and A. Lechleiter, Structural Health and Load Monitoring with Material-embedded Sensor Networks and Self-organizing Multiagent Systems, Procedia Technology, Proceeding of the 2nd SysInt Conference, Bremen, Germany, 2014, http://dx.doi.org/10.1016/j.protcy.2014.09.039
• S. Bosse, Distributed Agent-based Computing in Material-Embedded Sensor Network Systems with the Agent-on-Chip Architecture, IEEE Sensors Journal, http://dx.doi.org/10.1109/JSEN.2014.2301938
• S. Bosse, Design of Material-integrated Distributed Data Processing Platforms with Mobile Multi-Agent Systems in Heterogeneous Networks, ICAART 2014, http://dx.doi.org/10.5220/0004817500690080
• S. Bosse, VAMNET: the Functional Approach to Distributed Programming, SIGOPS Oper. Syst. Rev., 40, pp. 108-114, 2006, http://dx.doi.org/10.1145/1151374.1151378.
• D. Wu, J. L. Thames, D. W. Rosen, and Dirk Schaefer, Towards A Cloud-based Design and Manufacturing Paradigm: Looking Backward, Looking Forward, in Proceedings of the ASME 2012 International Design Engineering Technical Conference & Computers and Information in Engineering Conference, IDETC/CIE 2012 August 12-15, 2012, Chicago, Illinois, USA, 2012
• M. Caridi and A. Sianesi, Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines, Int. J. Production Economics, vol. 68, pp. 29-42, 2000.
• P. Leitão and S. Karnouskos (ed.), in Industrial Agents Emerging Applications of Software Agents in Industry. Elsevier, 2015.
• V. Marík, and D.C. McFarlane, 2005. Industrial adoption of agentbased technologies. IEEE Intell. Syst. 20 (1), 27-35.
• M. Pechoucek, and V., Marík, 2008. Industrial deployment of multiagent technologies: review and selected case studies. Auton. Agent. Multi-Agent Syst. 17 (3), 397-431.
• M. Guijarro, R. Fuentes-fernández, and G. Pajares, A Multi-Agent System Architecture for Sensor Networks, Multi-Agent Systems - Modeling, Control, Prog., Simulations and Applications, 2008.
• A. Rogers, D. D. Corkill, and N. R. Jennings, Agent Technologies for Sensor Networks, IEEE Intelligent Systems, vol. 24, no. 2, 2009.
• X. Zhao, S. Yuan, Z. Yu, W. Ye, and J. Cao, Designing strategy for multi-agent system based large structural health monitoring, Expert Systems with Applications, 2008, 34(2), 1154-1168. doi:10.1016/j.eswa.2006.12.022
• J. Liu, Autonomous Agents and Multi-Agent Systems, World Scientific Publishing, 2001 (ISBN 981-02-4282-4)
• R. Milner, The space and motion of communicating agents. Cambridge University Press, 2009.
• R. Milner, Communicating and mobile systems: the π-calculus, Cambridge University Press, Cambridge (1999)
• L. Cardelli and A: Gordon, Mobile Ambients. Theoretical Computer Science, Special Issue on Coordination 240(1), 177-213 (2000)
• L. Chunlina, L. Zhengdinga, L. Layuanb, and Z. Shuzhia, A mobile agent platform based on tuple space coordination, Advances in Engineering Software, vol. 33, no. 4, pp. 215-225, 2002
• Z. Qin, J. Xing, and J. Zhang, A Replication-Based Distribution Approach for Tuple Space-Based Collaboration of Heterogeneous Agents, Research Journal of Information Technology, vol. 2, no. 4. pp. 201-214, 2010
• S. Loreto and S. Pietro Romano, Real-time communications in the web: Issues, achievements, and ongoing standardization efforts, IEEE Internet Computing, vol. 16, no. 5, pp. 68-73, 2012.
• S. J. Mullender and G. van Rossum, Amoeba: A Distributed Operating System for the 1990s, IEEE Computer, vol. 23, no. 5, pp. 44-53, 1990.

Identyfikatory

DOI

10.15439/2015F252