|
ABSTRACT
This paper reviews issues concerning the design of adaptive protocols for parallel discrete event simulation (PDES). The need for adaptive protocols are motivated in the background of the synchronization problem that has driven much of the research in this field. Traditional conservative and optimistic protocols and their hybrid variants are also discussed. Adaptive synchronization protocols are reviewed with special reference to their characteristics regarding the aspects of the simulation state that influence the adaptive decisions and the control parameters used. Finally, adaptive load management and scheduling strategies and their relationship to the synchronization protocol are discussed.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Ahmed, H., R. RSnngren, and R. Ayani 1994. Impact of event scheduling on performance of Time Warp parallel simulations. In Proceedings of the 27th Annual Hawaii Intl. Conf. on System Sciences.
|
| |
2
|
Arvind, K. and C. Smart 1992. Hierarchical parallel discrete event simulation in composite ELSA. In 6th Workshop on Parallel and Distributed Simulation, pp. 147-158.
|
| |
3
|
Ball, D. and S. Hoyt 1990. The adaptive Time- Warp concurrency control algorithm. Proceedings of the SCS Multiconference on Distributed Simulation 22 (1), 174-177.
|
| |
4
|
Burdorf, C. and J. Marti 1993. Load balancing strategies for Time Warp on multi-user workstaions. The Computer Journal 36 (2), 168-176.
|
| |
5
|
Chandy, K. M. and j. Misra 1979. Distributed simulation: A case study in design and verification of distributed programs. IEEE Transactions on Software Engineering SE-5(5), 440-452.
|
 |
6
|
|
 |
7
|
|
 |
8
|
|
| |
9
|
Dickens, P. M. and P. F. Reynolds, Jr. 1990. SRADS with local rollback. Proceedings of the SCS Multiconference on Distributed Simulation 22(1), 161-164.
|
| |
10
|
Ferscha, A. 1995a. Parallel and distributed simuation of discrete event systems. In A. Y. H. Zomaya (Ed.), Parallel and Distributed Computing Handbook, Chapter 35. McGraw-Hill.
|
 |
11
|
|
| |
12
|
Ferscha, A. and G. Chiola 1994. Self adaptive logical processes: The probabilistic distributed simulation protocol. In Proceedings of the 27th Annual Simulation Symposium, pp. 78-88.
|
| |
13
|
|
 |
14
|
|
| |
15
|
Fujimoto, R. M. 1989. Performance measurements of distributed simulation strategies. Transactzons of the Society for Computer Simulation 6(2), 89-132.
|
 |
16
|
|
 |
17
|
|
| |
18
|
Fujimoto, R. M. 1993b. Parallel discrete event simulation: Will the field survive? ORSA Journal of Computzng 5 (3), 213-230.
|
| |
19
|
|
| |
20
|
Hamnes, D. O. and A. Tripathi 1994a. Evaluation of a local adaptive protocol for distributed discrete event simulation. In Proceedings of the 199~ Internatzonal Conference on Parallel Processing, pp. III:127-134.
|
 |
21
|
|
 |
22
|
|
 |
23
|
|
| |
24
|
Lin, Y.-B. and E. D. Lazowska 1990. Optimality considerations of "Time Warp" parallel simulation. Proceedings of the SCS Multiconference on Distributed Simulation 22 (1), 29-34.
|
| |
25
|
Lipton, R. J. and D. W. Mizell 1990. Time Warp vs. Chandy-Misra: A worst-case comparison. Proceedings of the SCS Multiconference on Distributed Simulation 22(1), 137-143.
|
 |
26
|
|
 |
27
|
B. Lubachevsky , A. Shwartz , A. Weiss, Rollback sometimes works...if filtered, Proceedings of the 21st conference on Winter simulation, p.630-639, December 04-06, 1989, Washington, D.C., United States
[doi> 10.1145/76738.76819]
|
 |
28
|
|
 |
29
|
Vijay Madisetti , Jean Walrand , David Messerschmitt, Wolf: a rollback algorithm for optimistic distributed simulation systems, Proceedings of the 20th conference on Winter simulation, p.296-305, December 12-14, 1988, San Diego, California, United States
[doi> 10.1145/318123.318205]
|
| |
30
|
|
| |
31
|
Mehl, H. 1991. Speedup of conservative distributed discrete-event simulation methods by speculative computing. Proceedings of the Multiconference on Advances in Parallel and Distributed Simulation 23(1), 163-166.
|
 |
32
|
|
| |
33
|
Nicol, D. M. and R. M. Fujimoto 1994. Parallel simulation today. Annals of Operations Research 53, 249-286.
|
| |
34
|
Palaniswamy, A. C. and P. A. Wilsey 1993. Adaptive bounded time windows in an optimistically synchronized simulator. In Great Lakes VLSI Conference, pp. 114-118.
|
| |
35
|
|
| |
36
|
|
 |
37
|
Hassan Rajaei , Rassul Ayani , Lars-Erik Thorelli, The local Time Warp approach to parallel simulation, Proceedings of the seventh workshop on Parallel and distributed simulation, p.119-126, May 16-19, 1993, San Diego, California, United States
|
| |
38
|
|
 |
39
|
P. L. Reiher , F. Wieland , D. Jefferson, Limitation of optimism in the time warp operating system, Proceedings of the 21st conference on Winter simulation, p.765-770, December 04-06, 1989, Washington, D.C., United States
[doi> 10.1145/76738.76834]
|
 |
40
|
|
| |
41
|
|
| |
42
|
Sokol, L. M., D. P. Briscoe, and A. P. Wieland 1988. MTW: a strategy for scheduling discrete simulation events for concurrent execution. Proceedings of the SCS Multiconference on Distributed Simulation 19(3), 34-42.
|
| |
43
|
Sudhir Srinivasan , Paul F. Reynolds, Jr., NPSI adaptive synchronization algorithms for PDES, Proceedings of the 27th conference on Winter simulation, p.658-665, December 03-06, 1995, Arlington, Virginia, United States
[doi> 10.1145/224401.224705]
|
 |
44
|
|
| |
45
|
Steinman, J. 1992a. SPEEDES: A multiplesynchronization environment for parallel discrete event simulation. International Journal of Computer Simulation 2(3), 251-286.
|
| |
46
|
Steinman, J. 1992b. SPEEDES: A unified approach to parallel simulation. In 6th Workshop on Parallel and Distributed Simulation, pp. 75-84.
|
 |
47
|
|
| |
48
|
Turner, S. J. and M. Q. Xu 1992. Per!~ormance evaluation of the bounded Time Warp algorithm. Proceedings of the SCS Multiconference on Parallel and Distributed Simulation 24(3), 117-126.
|
CITED BY 8
|
|
|
|
|
|
|
Nilesh Choudhury , Yogesh Mehta , Terry L. Wilmarth , Eric J. Bohm , Laxmikant V. Kalé, Scaling an optimistic parallel simulation of large-scale interconnection networks, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida
|
|
|
|
|
Luciano Bononi , Michele Bracuto , Gabriele D'Angelo , Lorenzo Donatiello, Performance analysis of a parallel and distributed simulation framework for large scale wireless systems, Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems, October 04-06, 2004, Venice, Italy
|
|
|
|
|
|
|
|
|
|
Peer to Peer - Readers of this Article have also read:
-
Data structures for quadtree approximation and compression
Communications of the ACM
28, 9
Hanan Samet
-
A hierarchical single-key-lock access control using the Chinese remainder theorem
Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing
Kim S. Lee
, Huizhu Lu
, D. D. Fisher
-
The GemStone object database management system
Communications of the ACM
34, 10
Paul Butterworth
, Allen Otis
, Jacob Stein
-
An intelligent component database for behavioral synthesis
Proceedings of the 27th ACM/IEEE Design Automation Conference on
Gwo-Dong Chen
, Daniel D. Gajski
-
Putting innovation to work: adoption strategies for multimedia communication systems
Communications of the ACM
34, 12
Ellen Francik
, Susan Ehrlich Rudman
, Donna Cooper
, Stephen Levine
|