Eric He
University of Illinois at Chicago
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Publication
Featured researches published by Eric He.
international conference on cluster computing | 2002
Eric He; Jason Leigh; Oliver Yu; Thomas A. DeFanti
High speed bulk data transfer is an important part of many data-intensive scientific applications. This paper describes an aggressive bulk data transfer scheme, called Reliable Blast UDP (RBUDP), intended for extremely high bandwidth, dedicated- or Quality-of-Service-enabled networks, such as optically switched networks. This paper also provides an analytical model to predict RBUDPs performance and compares the results of our model against our implementation of RBUDP. Our results show that RBUDP performs extremely efficiently over high speed dedicated networks and our model is able to provide good estimates of its performance.
Future Generation Computer Systems | 2003
Eric He; Javid Alimohideen; Josh Eliason; Naveen K. Krishnaprasad; Jason Leigh; Oliver Yu; Thomas A. DeFanti
Quanta is a cross-platform adaptive networking toolkit for supporting the data delivery requirements of interactive and bandwidth intensive applications, such as Amplified Collaboration Environments. One of the unique goals of Quanta is to provide applications with the ability to provision optical pathways (commonly referred to as Lambdas) in dedicated photonic networks. This paper will introduce Quantas architecture and capabilities, with particular attention given to its aggressive and predictable high performance data transport scheme called Reliable Blast UDP (RBUDP). We provide an analytical model to predict RBUDPs performance and compare the results of our model against experimental results performed over a high speed wide-area network.
eurographics | 2001
Jason Leigh; Oliver Yu; Dan Schonfeld; Rashid Ansari; Eric He; A. M. Nayak; Jinghua Ge; Naveen K. Krishnaprasad; Kyoung Shin Park; Yongjoo Cho; Liujia Hu; Ray Fang; Alan Verlo; Linda Winkler; Thomas A. DeFanti
Tele-Immersive applications possess an unusually broad range of networking requirements. As high-speed and Quality of Service-enabled networks emerge, it will becoming more difficult for developers of Tele-Immersion applications, and networked applications in general, to take advantage of these enhanced services. This paper proposes an adaptive networking framework to ultimately allow applications to optimize their network utilization in pace with advances in networking services. In working toward this goal, this paper will present a number of networking techniques for improving performance in tele-immersive applications and examines whether the Differentiated Services mechanism for network Quality of Service is suitable for Tele-Immersion.
broadband communications, networks and systems | 2006
Eric He; Xi Wang; Jason Leigh
Advance reservation is a mechanism to guarantee the availability of resources when they are needed. In the context of LambdaGrid, this mechanism is used to provide data-intensive applications with the needed deterministic network quality of service to transport data between grid instruments, high-performance storage systems, compute clusters and visualization systems. Flexible scheduling affords users greater convenience while also improving resource utilization and acceptance rate. In this paper we propose a flexible advance reservation model (FARM) and describe how to implement this model in the meta-scheduling problem. Then we extend this methodology to the cross-domain lightpath reservation problem by incorporating routing and wavelength assignment algorithms. Next, we present the architecture, implementation and APIs of a coordinated interdomain and intradomain optical control plane called AR-PIN/PDC, which is capable of flexible advance reservations. Our simulation results show that by relaxing the reservation time constraint, the acceptance rate and resource utilization can be improved dramatically. Through simulations, we also analyze the impact of advance reservations on immediate reservations and conclude that both AR and IR requests need admission control algorithms in order to let both types of reservations coexist and use resource properly.
global communications conference | 2006
Eric He; Xi Wang; Venkatram Vishwanath; Jason Leigh
A collection of Grid computing resources interconnected by an application-configurable network of lightpaths is called a LambdaGrid. It provides data-intensive applications with the needed deterministic network bandwidth to transport data between grid instruments, high-performance storage systems, compute clusters and visualization systems, that is often needed for real-time interactive scientific exploration. Advance reservation is needed to guarantee the availability of network resources. Flexible scheduling affords users greater convenience while also improving resource utilization and acceptance rate. In this paper we propose a unified flexible advance reservation model called FARM and apply this model to the cross-domain Routing and Wavelength Assignment problem. We will present the architecture and implementation of a coordinated Interdomain and Intradomain optical control plane, which is capable of flexible advance reservations. Our simulation results show that by just relaxing the reservation constraint and providing flexibility on the starting time, the network can carry 39% more load, and resource utilization can improve by 41%.
Archive | 2005
Mathieu Goutelle; Eric He; Sanjay Hegde; Jason Leigh; Pascale Vicat-Blanc Primet; Michael Welzl; Chaoyue Xiong; Muhammad Murtaza Yousaf
IEICE Transactions on Communications | 2003
O. Yu; Eric He; Joe Mambretti; D. Lillethun; J. Weinberger; Thomas A. DeFanti; Maxine D. Brown; J. Leigh
Archive | 2001
Jason Leigh; Greg Dawe; Jonas Talandis; Eric He; Shalini Venkataraman; Jinghua Ge; Daniel J. Sandin; Thomas A. DeFanti
Archive | 2004
Chaoyue Xiong; Jason Leigh; Eric He; Venkatram Vishwanath; Tadao Murata; Luc Renambot; Thomas A. DeFanti
Archive | 2003
Jason Leigh; Luc Renambot; Thomas A. DeFanti; Maxine D. Brown; Eric He; Naveen K. Krishnaprasad; A. M. Nayak; Rajvikram Singh; Shalini Venkataraman; Drake Livingston; Michael McLaughlin