Search Results - "Thulasidasan, S."

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  1. 1

    Optimizing GridFTP through dynamic right-sizing by Thulasidasan, S., Wu-chun Feng, Gardner, M.K.

    “…In this paper, we describe the integration of dynamic right-sizing - an automatic and scalable buffer management technique for enhancing TCP (transport control…”
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    Conference Proceeding
  2. 2

    Strong edge coloring for channel assignment in wireless radio networks by Barrett, C.L., Istrate, G., Kumar, V.S.A., Marathe, M.V., Thite, S., Thulasidasan, S.

    “…We give efficient sequential and distributed approximation algorithms for strong edge coloring graphs modeling wireless networks. Strong edge coloring is…”
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    Conference Proceeding
  3. 3

    Accelerating traffic microsimulations: A parallel discrete-event queue-based approach for speed and scale by Thulasidasan, S., Eidenbenz, S.

    “…We present FastTrans - a parallel, distributed-memory simulator for transportation networks that uses a queue-based event-driven approach to traffic…”
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    Conference Proceeding
  4. 4

    Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator by Thulasidasan, S., Kasiviswanathan, S., Eidenbenz, S., Galli, E., Mniszewski, S., Romero, P.

    “…We describe the various aspects involved in building FastTrans, a scalable, parallel microsimulator for transportation networks that can simulate and route…”
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    Conference Proceeding
  5. 5

    User-space auto-tuning for TCP flow control in computational grids by Gardner, Mark K, Thulasidasan, Sunil, Feng, Wu-chun

    Published in Computer communications (01-09-2004)
    “…With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure…”
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    Journal Article
  6. 6

    GREEN: proactive queue management over a best-effort network by Wu-chun Feng, Kapadia, A., Thulasidasan, S.

    “…We present a proactive queue-management (PQM) algorithm called GREEN (generalized random early evasion network) that applies knowledge of the steady-state…”
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    Conference Proceeding