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Physical Sciences and Mathematics Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Mobile-Agent Versus Client/Server Performance: Scalability In An Information-Retrieval Task, Robert S. Gray, David Kotz, Ronald A. Peterson, Joyce Barton, Daria Chacon, Peter Gerken, Martin Hofmann, Jeffrey Bradshaw, Maggie Breedy, Renia Jeffers, Niranjan Suri
Mobile-Agent Versus Client/Server Performance: Scalability In An Information-Retrieval Task, Robert S. Gray, David Kotz, Ronald A. Peterson, Joyce Barton, Daria Chacon, Peter Gerken, Martin Hofmann, Jeffrey Bradshaw, Maggie Breedy, Renia Jeffers, Niranjan Suri
Dartmouth Scholarship
Building applications with mobile agents often reduces the bandwidth required for the application, and improves performance. The cost is increased server workload. There are, however, few studies of the scalability of mobile-agent systems. We present scalability experiments that compare four mobile-agent platforms with a traditional client/server approach. The four mobile-agent platforms have similar behavior, but their absolute performance varies with underlying implementation choices. Our experiments demonstrate the complex interaction between environmental, application, and system parameters.
Using Mobile Agents For Analyzing Intrusion In Computer Networks, Jay Aslam, Marco Cremonini, David Kotz, Daniela Rus
Using Mobile Agents For Analyzing Intrusion In Computer Networks, Jay Aslam, Marco Cremonini, David Kotz, Daniela Rus
Dartmouth Scholarship
Today hackers disguise their attacks by launching them form a set of compromised hosts distributed across the Internet. It is very difficult to defend against these attacks or to track down their origin. Commercially available intrusion detection systems can signal the occurrence of limited known types of attacks. New types of attacks are launched regularly but these tools are not effective in detecting them. Human experts are still the key tool for identifying, tracking, and disabling new attacks. Often this involves experts from many organizations working together to share their observations, hypothesis, and attack signatures. Unfortunately, today these experts have …
A Market-Based Model For Resource Allocation In Agent Systems, Jonathan Bredin, David Kotz, Daniela Rus
A Market-Based Model For Resource Allocation In Agent Systems, Jonathan Bredin, David Kotz, Daniela Rus
Dartmouth Scholarship
In traditional computational systems, resource owners have no incentive to subject themselves to additional risk and congestion associated with providing service to arbitrary agents, but there are applications that benefit from open environments. We argue for the use of markets to regulate agent systems. With market mechanisms, agents have the abilities to assess the cost of their actions, behave responsibly, and coordinate their resource usage both temporally and spatially. \par We discuss our market structure and mechanisms we have developed to foster secure exchange between agents and hosts. Additionally, we believe that certain agent applications encourage repeated interactions that benefit …