Abstract
The essence of Grid Computing is to provide efficient Resource on Demand (RoD). This paper addresses this challenge from the perspective of network, the living platform of Grid, by providing effective Quality of Service (QoS) mechanisms (both IntServ and DiffServ) inside the Grid networking environment. Specifically, the efficiency of this QoS mechanism is maximized by policy-based management taking care of the flexible control of QoS parameters/components and active networks technology looking after the fast delivery of various QoS configurations. The first experiment exemplified the current implementation status.
- Foster, et al. "The Anatomy of the Grid: Enabling Scalable Virtual Organizations". Intl. J. Supercomputer Applications, 15(3), Sage Publications, USA, 2001.]] Google ScholarDigital Library
- I. Foster, C. Kesselman, C. Lee, R. Lindell, K. Nahrstedt, and A. Roy. "A distributed resource management architecture that supports advance reservations and co-Allocation," Proc. Of International Workshop on Quality of Service, 1999, pp. 27--36.]]Google Scholar
- Foster I. and Kesselman C. "Globus: A Toolkit-Based Grid Architecture", Foster, I. and Kesselman, C. (eds.), The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, 1999. pages 259--278.]] Google ScholarDigital Library
- Y. Bernet, et. al. "Interoperation of RSVP/Intserv and Diffserv networks". Internet Draft <draft-ietf-issll-Diffserv-rsvp-02.txt>, June 1999.]]Google Scholar
- M. Sloman. "Policy Driven Management For Distributed Systems," Journal of Network and System Management, vol. 2, no. 4, Dec. 1994, pp. 333--60.]]Google ScholarCross Ref
- P. Flegkas, P. Trimintzios, and G. Pavlou. "A Policy-Based Quality of Service Management System for IP DiffServ Networks". IEEE Network Magazine, March/April 2002, pp. 50--56.]]Google ScholarDigital Library
- J. Frey, T. Tannenbaum, I. Foster, M. Livny, and S. Tuecke. "Condor-G: A Computation Management Agent for Multi-Institutional Grids", Proceedings of the Tenth IEEE Symposium on High Performance Distributed Computing (HPDC10), San Francisco, USA, August 2001.]] Google ScholarDigital Library
- R. Buyya. "Nimrod/G: An Architecture for a Resource Management and Scheduling System in a Global Computational Grid". Proc. 4th Int'l Conf. on High Performance Computing in Asia-Pacific Region (HPC Asia 2000), IEEE CS Press, Los Alamitos, USA, 2000.]]Google ScholarCross Ref
- K. Yang, A. Galis, C. Todd. "A Policy-based Active Grid Management Architecture". Proceedings of 10th IEEE International Conference on Networks (ICON02): 243--248, IEEE Press. Singapore, August 2002.]]Google Scholar
- IETF Policy workgroup web page: http://www.ietf.org/html.charters/policy-charter.html]]Google Scholar
- IETF PCIM draft on web: http://www.ietf.org/internet-drafts/draft-ietf-policy-pcim-ext-08.txt, 2002]]Google Scholar
- K. Yang, A. Galis, T. Mota and S. Gouveris. "Automated Management of IP Networks through Policy and Mobile agents". (A. Karmouch, T. Magedanz and J. Delgado eds.) Proceedings of Fourth International Workshop on Mobile Agents for Telecommunication Applications (MATA2002): 249--258. LNCS-2521, Springer. Barcelona, Spain, October, 2002.]] Google ScholarDigital Library
- European Union Information Society Technology (IST) Project MANTRIP web site: http://www.solinet-research.com/mantrip/]]Google Scholar
- D. Raz and Y. Shavitt. "Active Networks for Efficient Distributed Network Management". IEEE Communications Magazine, 38(3):138--143, March 2000.]]Google ScholarDigital Library
- ANEP IETF RFC on web: http://www.cis.upenn.edu/~switchware/ANEP/docs/ANEP.txt]]Google Scholar
- K. Czajkowski, I. Foster, N. Karonis, C. Kesselman, S. Martin, W. Smith, S. Tuecke. "A Resource Management Architecture for Metacomputing Systems", Proceedings of IPPS/SPDP'98 Workshop on Job Scheduling Strategies for Parallel Processing, 1998.]] Google ScholarDigital Library
Recommendations
Utility Based Multiple QoS Guaranteed Resource Scheduling Optimization in Grid Computing
ICCTA '07: Proceedings of the International Conference on Computing: Theory and ApplicationsIn this paper, we consider multiple QoS based grid resource scheduling. It is heterogeneity and dynamics of the grid that make QoS problems in grid environment challenging. Computational grid's resource management must deal with various demands from ...
Efficient Quality of Service scheduling mechanism for WiMAX networks
Supporting Quality of Service (QoS) guarantees for diverse multimedia services are the primary concerns for WiMAX (IEEE802.16) networks. A scheduling scheme that satisfies the QoS requirements has become more important for wireless communications. We ...
Model and Prototyping of Quality of Service (QoS) Oriented Grid Resource Management and Scheduling
ICTCS '14: Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive StrategiesGrid computing involves harnessing the diverse heterogeneous resources to solve compute and resource intensive problems. Such types of distributed systems are inherently unreliable with high chances of different types of failure events. The `best-effort'...
Comments