James H. Cowie

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This paper describes the Scalable Simulation Framework SSF, a discrete event modeling API designed for the construction and simulation of very large networks. SSF can execute detailed simulations of complex topology networks with a million or more concurrent TCPPIP ows. We describe the overall architecture of SSF, the architecture of the network modeling(More)
In August 2003, electric power outages affected 50 million people in the Northeastern US and Canada, causing economic losses estimated to exceed $5 billion. The outage was not only the largest in US history, but also the first of its scale since the rise of the commercial Internet and the World Wide Web. In this report we examine the impact the blackout had(More)
Challenging-scale problems consistently demand solutions that fuse geographically distributed and heterogeneous data, personnel, expertise, and resources. For example, national health care problems require collaboration among experts of fields as diverse as medical informatics, public policy, robotics, and high performance computing to solve problems(More)
After several years of research, we n o w h a ve the capability of modeling the Internet at scales on the order of 100,000 multi-protocol hosts IP, TCP, clienttserver applications and routers OSPF, BGP-4, with long-range correlated IP packet traac 11. Getting to this point required the design of a scalable Internet modeling framework SSFNET, a scalable(More)
Two major engineering bottlenecks in the production pipeline for High Performance Computing software result from a shortage of adequate design tools and design theory. We propose one technology that can help eliminate the HPC software bottleneck: object-oriented construction of virtual global data structures (VGDS). In this paper, we give an overview of the(More)