
doi: 10.1007/bfb0095379
With the addition of user-controllable computing capabilities to conventional data networks, the network can no longer be perceived as a passive conveyor of bits. It transforms into a generic computational engine or an “active network”. While such capabilities open up many exciting possibilities for network designers, simulation of such large scale high-performance networks is exacerbated by a number of issues. Issues such as scalability and expressibility, will be addressed by the simulator designer as simulation requires the designer to “implement” models of the active networks systems. This paper proposes the use of a parallel simulation (using relaxed synchronization strategies, such as Time Warp) environment to accurately simulate the behavior and profile the performance of large scale, active networks.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
