Search Results - "Thulasidasan, S."
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Optimizing GridFTP through dynamic right-sizing
Published in High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on (2003)“…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
Strong edge coloring for channel assignment in wireless radio networks
Published in Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06) (2006)“…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 -
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Accelerating traffic microsimulations: A parallel discrete-event queue-based approach for speed and scale
Published in Proceedings of the 2009 Winter Simulation Conference (WSC) (01-12-2009)“…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
Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator
Published in 2009 International Conference on High Performance Computing (HiPC) (01-12-2009)“…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
User-space auto-tuning for TCP flow control in computational grids
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
GREEN: proactive queue management over a best-effort network
Published in Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE (2002)“…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