2012Unpublished venueRequires access

Effective Load Distribution Over Multipath Networks to Control the Delay

Rajesh Kumar Injamala, P.Samatha, T.Bharath Manohar, E. Jyothi, Sindhu Vegesna

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Abstract

An effective model of delay-controlled Load distribution becomes essential to efficiently utilize such parallel paths for multimedia data transmission and real-time applications, which are commonly known to be sensitive to packet delay, packet delay variation, and packet reordering. Recent research on load distribution has focused on load balancing efficiency, bandwidth utilization, and packet order preservation. This paper proposes a new load distribution model aiming to minimize the difference among end- to- end delays, thereby reducing packet delay variation and risk of packet reordering without additional network overhead. Therefore, our model can reduce not only the end-to-end delay but also the packet reordering recovery time.

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What this paper is about

An effective model of delay-controlled Load distribution becomes essential to efficiently utilize such parallel paths for multimedia data transmission and real-time applications, which are commonly known to be sensitive to packet delay, packet delay variation, and packet reordering. Recent research on load distribution has focused on load balancing efficiency, bandwidth utilization, and packet order preservation. This paper proposes a new load distribution model aiming to minimize the difference among end- to- end delays, thereby reducing packet delay variation and risk of packet reordering without additional network overhead. Therefore, our model can reduce not only the end-to-end delay but also the packet reordering recovery time.

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Available abstract

An effective model of delay-controlled Load distribution becomes essential to efficiently utilize such parallel paths for multimedia data transmission and real-time applications, which are commonly known to be sensitive to packet delay, packet delay variation, and packet reordering. Recent research on load distribution has focused on load balancing efficiency, bandwidth utilization, and packet order preservation. This paper proposes a new load distribution model aiming to minimize the difference among end- to- end delays, thereby reducing packet delay variation and risk of packet reordering without additional network overhead. Therefore, our model can reduce not only the end-to-end delay but also the packet reordering recovery time.

Key concepts: Transmission delay, Processing delay, End-to-end delay, Computer science, Network packet, Computer network, Network delay, Real-time computing

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