Enabling large-scale simulations: Selective abstraction approach to the study of multicast protocols
被引:15
作者:
Huang, P
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USAUniv So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USA
Huang, P
[1
]
Estrin, D
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USAUniv So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USA
Estrin, D
[1
]
Heidemann, J
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USAUniv So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USA
Heidemann, J
[1
]
机构:
[1] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90291 USA
来源:
SIXTH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS
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1998年
关键词:
D O I:
10.1109/MASCOT.1998.693701
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
Due to the complexity and scale of the current Internet, large-scale simulation is an increasingly important tool to evaluate network protocol design. Parallel and distributed simulation is one appropriate approach to the simulation scalability problem, but it can require expensive hardware and have high overhead We investigate a complimentary solution -simulation abstraction. Just as a custom simulator includes only details necessary for the task at hand, a general simulator can support configurable levels of detail for different simulations. We demonstrate two abstraction techniques in multicast simulations and show that they each help to gain one order of magnitude in performance. Although abstraction simulations are not identical to more detailed simulations, in many cases these differences are small and result in minimal changes in the conclusions drawn from simulations.