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   Quanterion Virtual Bookstore
 


Virtual Bookstore Citation
Title
DISCOVERY AND APPLICATION OF NETWORK INFORMATION

Author(s)
Lowekamp, Bruce

Corporate Author(s)
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE

Report Date
10/1/2000

Page Count
149

Abstract
Distributed computing has brought about promising new possibilities. The power of distributed systems is offset by the tremendous complexity of developing applications for dynamic, heterogeneous environments. An important way to manage distributed applications is designing them to adapt their computing and networking needs to their environment. To support adaptation, a number of systems provide resource information obtained using active benchmarks. Benchmarks provide support for many applications, but their effectiveness is limited by low scalability, invasiveness, and the inability to derive network topology. I have examined the use of low-level network information to support adaptive applications without the shortcomings of active benchmarking. The low- level details obtained directly from network components provide the information needed by distributed applications to adapt themselves to modern network environments. Low-level access overcomes the limitations inherent in benchmarking by providing a scalable, non-invasive measurement technique that provides network topology information while continuing to support the predictions of end-to-end application performance available through benchmarking. I address the need for low-level information, the feasibility of providing it through an application-level interface, the accuracy of end-to-end predictions made provided by low-level information, and the topology discovery capabilities using low-level information. The topology discovery algorithms presented are the first to use the incomplete information available through network components and are provably good with minimal knowledge. Research demonstrates that violating the end-to-end networking abstraction by providing applications with access to low-level network knowledge meets the needs of many applications and is feasible on modern networks.

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