INCITE: Edge-based Traffic Processing and Inference for High-Performance Networks | |
Baraniuk, Richard G. ; Feng, Wu-chun ; Cottrell, Les ; Knightly, Edward ; Nowak, Robert ; Riedi, Rolf | |
Rice University, Houston, TX | |
关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science; Simulation Network Measurement, Multifractal Signal Analysis, Multiscale Random Fields, Quality Of Service, Multiscale Traffic Analysis And Modeling Techniques, Data Collection Tools; Processing; Network Measurement, Multifractal Signal Analysis, Multiscale Random Fields, Quality Of Service, Multiscale Traffic Analysis And Modeling Techniques, Data Collection Tools; 42 Engineering; | |
DOI : 10.2172/876141 RP-ID : DOE/ER/25462 RP-ID : FC02-01ER25462 RP-ID : 876141 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
The INCITE (InterNet Control and Inference Tools at the Edge) Project developed on-line tools to characterize and map host and network performance as a function of space, time, application, protocol, and service. In addition to their utility for trouble-shooting problems, these tools will enable a new breed of applications and operating systems that are network aware and resource aware. Launching from the foundation provided our recent leading-edge research on network measurement, multifractal signal analysis, multiscale random fields, and quality of service, our effort consisted of three closely integrated research thrusts that directly attack several key networking challenges of DOE's SciDAC program. These are: Thrust 1, Multiscale traffic analysis and modeling techniques; Thrust 2, Inference and control algorithms for network paths, links, and routers, and Thrust 3, Data collection tools.
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876141.pdf | 992KB | download |