André B. Bondi
- 1.Aho, A. V., Hopcroft, J. E., and Ullman, J. D. Design and Analysis of Computer Algorithms. Addison Wesley, 1974.]] Google Scholar
Digital Library
- 2.Almes, G. T., and Lazowska, E. D. The Behavior of Ethernet-Like Computer Communications Networks. Technical Report no. 79-05-01, Dept. of Computer Science, University of Washington, April 1979.]]Google ScholarDigital Library
- 3.Avi-Itzhak, B., and Heyman, D. P. Approximate queueing models for multiprogramming computer systems. Operations Research 21, 1, 1973, pp. 1212- 1230.]]Google ScholarDigital Library
- 4.Bondi, A. B., and Jin, V. Y. A performance model of a design for a minimally replicated distributed database for database-driven telecommunications services. Distributed and Parallel Databases 4 (1996), 295-397.]] Google ScholarDigital Library
- 5.Bux, W. Local area subnetworks: a performance comparison. IEEE Trans. Communications COM-29, 10 (1981), 1645-1673.]]Google Scholar
- 6.Denning, P. J., Dennis, T., and Brumfield, J. A. Low contention semaphores and ready lists. Communications of the ACM 24 (1981), 687-699.]] Google ScholarDigital Library
- 7.Dijkstra, E. W. Solution of a problem in concurrent programming control. Communications of the ACM 8, 9 (1965), 569.]] Google ScholarDigital Library
- 8.Doshi, B. T., Johri, P. K., Netravali, A.N., and Sabnani, K.K. Error and Flow Control Performance of High speed Protocols. IEEE Trans. Commun. COM 41, 5 (1993), 707-720.]]Google ScholarCross Ref
- 9.Eager, D., Zahorjan, J., and Lazowska, E. D. Speedup Versus Efficiency in Parallel Systems. IEEE Trans. on Computers 38 (3), 1989, pp. 408-423.]] Google ScholarDigital Library
- 10.Habermann, A. N., Introduction to Operating Systems Design, SRA, Chicago, 1976.]] Google ScholarDigital Library
- 11.Hennessy, John. The Future of Systems Research. IEEE Computer, August 1999, pp. 27-33.]] Google ScholarDigital Library
- 12.Hoare, C. A. R. Monitors: an operating system structuring concept. Comms. ACM 17, 10 (1974), 549- 557.]] Google ScholarDigital Library
- 13.Jogalekar, P. P., and Woodside, C. M.. A Scalability Metric for Distributed Computing Applications in Telecommunications. Proc. Fifteenth International Teletraffic Congress (ITC-15) vol. 2a, pp. 101-110, 1997.]]Google ScholarCross Ref
- 14.Katznelson, J., and Kurshan, R. S/R: A language for specifying protocols and other coordinating processes. Fifth Annual International Phoenix Conference on Computers and Communications, 1986.]]Google Scholar
- 15.Latouche, G. Algorithmic Analysis of a Multiprogramming-Multiprocessing Computer System. J. A.C.M. 28, 4, 1981, pp. 662-679.]] Google ScholarDigital Library
- 16.Mogul, J. C., and Ramakrishnan, K. K. Eliminating receive livelock in an interrupt-driven kernel. ACM Transactions on Computer Systems 15, 3, 1997, 217- 252.]] Google ScholarDigital Library
- 17.Shaw, A. C. The Logical Design of Operating Systems. Prentice Hall, 1974.]] Google ScholarDigital Library
- 18.Smith, C. U., and Williams, L. Performance Engineering Evaluation of CORBA-based Distributed Systems. First International Workshop of Software and Performance (WOSP98), 1998.]] Google ScholarDigital Library
- 19.Wirth, N. Algorithms + Data Structures = Programs. Prentice Hall, 1976.]] Google ScholarDigital Library
Index Terms
- Characteristics of scalability and their impact on performance
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