Person:
Ammar,
Mostafa H.
Publication Search Results
A Generic Framework for Parallelization of Network Simulations
Distributed Laboratories: A Research Proposal
Person:
Ammar,
Mostafa H.
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Discrete event simulation is widely used within the networking community for purposes such as demonstrating the validity of network protocols and architectures. Depending on the level of detail modeled within the simulation, the running time and memory requirements can be excessive. The goal of our research is to develop and demonstrate a practical, scalable approach to parallel and distributed simulation that will enable widespread reuse of sequential network simulation models and software. We focus on an approach to parallelization where an existing network simulator is used to build models of subnetworks that are composed to create simulations of larger networks. Changes to the original simulator care minimized, enabling the parallel simulator to easily track enhancements to the sequential version. We describe our lessons learned in applying this approach to the publicly available ns software package (McCanne and Floyd, 1997) and converting it to run in a parallel fashion on a network of workstations. This activity highlights a number of important problems, from the standpoint of how to parallelize an existing serial simulation model and achieving acceptable parallel performance
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The continuing merger of computer and communication technologies
is leading to a new computing/communications infrastructure of unprecedented
magnitude, enabling new applications with broad economic and social impact.
Yet, such applications pose major challenges to researchers in Computer
Science and in application domains.
The topic of the proposed research program is the realization of
Distributed Laboratories, where individuals can interact with each other,
and more importantly, with powerful, distributed computational tools as
readily as if all were located in a single site. Our intent is to permit
scientists, engineers, and managers at geographically distinct locations
(including individuals 'tele-commuting' from home) to combine their
expertise in solving shared problems, by allowing them to
simultaneously view, interact with, and steer sophisticated
computations executing on high performance distributed computing platforms.