Service Centric Computing - Next Generation Internet Computing
- 776 Downloads
In the not-too-distant future, billions of people, places and things could all be connected to each other and to useful services through the Internet. In this world scalable, cost-effective information technology capabilities will need to be provisioned as service, delivered as a service, metered and managed as a service, and purchased as a service. We refer to this world as service centric computing. Consequently, processing and storage will be accessible via utilities where customers pay for what they need when they need it and where they need it. This tutorial introduces concepts of service centric computing and its relationship to the Grid. It explains a programmable data center paradigm as a flexible architecture that helps to achieve service centric computing. Case study results illustrate performance and thermal issues. Finally, key open research questions pertaining to service centric computing and Internet computing are summarized.
KeywordsSimple Object Access Protocol Open Grid Service Architecture Server Consolidation Resource Scheduler Ubiquitous Computing Application
- 8.Czajkowski K., Foster I., Karonis N., Kesselman C., Martin S., Smith W., and Tuecke S.: A Resource Management Architecture for Metacomputing Systems. JSSPP, 1988, 62–82.Google Scholar
- 9.Foster I., Kesselman C., Nick J., and Tuecke S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. http://www.globus.org, January, 2002.
- 10.The Grid: Blueprint for a New Computing Infrastructure, Edited by Ian Foster and Carl Kesselman, July 1998, ISBN 1-55860-475-8.Google Scholar
- 12.Zhou S.: LSF: Load sharing in large-scale heterogeneous distributed systems, Workshop on Cluster Computing, 1992.Google Scholar
- 13.Litzkow M., Livny M. and Mutka M.: Condor-A Hunter of IdleWorkstations. Proceedings of the 8th International Conference on Distributed Computing Systems, June, 1998, 104–111.Google Scholar
- 14.Natrajan A., Humphrey M., and Grimshaw A.: Grids: Harnessing Geographically-Separated Resources in a Multi-Organisational Context. Proceedings of High Performance Computing Systems, June, 2001.Google Scholar
- 15.Rolia J., Singhal S. and Friedrich R.: Adaptive Internet Data Centers. Proceedings of the European Computer and eBusiness Conference (SSGRR), L’Aquila, Italy, July 2000, Italy, http://www.ssgrr.it/en/ssgrr2000/papers/053.pdf.
- 24.Appleby K., Fakhouri S., Fong L., Goldszmidt G. and Kalantar M.: Oceano-SLA Based Management of a Computing Utility. Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, May 2001.Google Scholar
- 25.Ranjan S., Rolia J., Zu H., and Knightly E.: QoS-Driven Server Migration for Internet Data Centers. Proceedings of IWQoS 2002, May 2002, 3–12.Google Scholar
- 26.Rolia J., Zhu X., Arlitt M., and Andrzejak A.: Statistical Service Assurances for Applications in Utility Grid Environments. HPL Technical Report, HPL-2002-155.Google Scholar
- 27.Anderson E., Hobbs M., Keeton K., Spence S., Uysal M., and Veitch A.: Hippodrome: running circles around storage administration. Conference on File and Storage Technologies (FAST3902), 17545188–284530 January 2002, Monterey, CA. (USENIX, Berkeley, CA.).Google Scholar
- 28.Borowsky E., Golding R., Jacobson P., Merchant A., Schreier L., Spasojevic M., and Wilkes J.: Capacity planning with phased workloads, WOSP, 1998, 199–207.Google Scholar
- 29.Foster I., Kesselman C., Lee C., Lindell R., Nahrstedt K., and Roy A.: A Distributed Resource Management Architecture that Supports Advance Reservations and Co-Allocation. Proceedings of the International Workshop on Quality of Service, 1999.Google Scholar
- 30.Andrzejak, A., Graupner, S., Kotov, V., and Trinks, H.: Self-Organizing Control in Planetary-Scale Computing. IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2nd Workshop on Agent-based Cluster and Grid Computing (ACGC), May 21–24, 2002, Berlin.Google Scholar
- 31.Patel C., Bash C., Belady C., Stahl L., and Sullivan D.: Computational Fluid Dynamics Modeling of High Compute Density Data Centers to Assure System Inlet Air Specifications. Proceedings of IPACK’01 The Pacific Rim/ASME International Electronic Packaging Technical Conference and Exhibition July 8–13, 2001, Kauai, Hawaii, USA.Google Scholar
- 32.Patel, C.D., Sharma, R.K, Bash, C.E., Beitelmal, A: Thermal Considerations in Cooling Large Scale High Compute Density Data Centers, ITherm 2002-Eighth Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems. May 2002, San Diego, California.Google Scholar
- 33.Sharma, R.K, Bash. C.E., Patel, C.D.: Dimensionless Parameters for Evaluation of Thermal Design and Performance of Large Scale Data Centers. Proceedings of the 8th ASME/AIAA Joint Thermophysics and Heat Transfer Conf., St. Louis, MO, June 2002.Google Scholar