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1. GLOBALSOFT TECHNOLOGIES
Improving Fairness, Efficiency, and Stability in HTTP-Based
Adaptive Video Streaming With Festive
Abstract
Modern video players today rely on bit-rate adaptation in order to respond to changing network
conditions. Past measurement studies have identified issues with today's commercial players when
multiple bit-rate-adaptive players share a bottleneck link with respect to three metrics: fairness, efficiency,
and stability. Unfortunately, our current understanding of why these effects occur and how they can be
mitigated is quite limited. In this paper, we present a principled understanding of bit-rate adaptation and
analyze several commercial players through the lens of an abstract player model consisting of three main
components: bandwidth estimation, bit-rate selection, and chunk scheduling. Using framework, we
identify the root causes of several undesirable interactions that arise as a consequence of overlaying the
video bit-rate adaptation over HTTP. Building on these insights, we develop a suite of techniques that can
systematically guide the tradeoffs between stability, fairness, and efficiency and thus lead to a general
framework for robust video adaptation. We pick one concrete instance from this design space and show
that it significantly outperforms today's commercial players on all three key metrics across a range of
experimental scenarios.
Existing system
Modern video players today rely on bit-rate adaptation in order to respond to changing network
conditions. Past measurement studies have identified issues with today's commercial players when
multiple bit-rate-adaptive players share a bottleneck link with respect to three metrics: fairness, efficiency,
and stability. Unfortunately, our current understanding of why these effects occur and how they can be
mitigated is quite limited.
Proposed system
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2. In this paper, we present a principled understanding of bit-rate adaptation and analyze several
commercial players through the lens of an abstract player model consisting of three main components:
bandwidth estimation, bit-rate selection, and chunk scheduling. Using framework, we identify the root
causes of several undesirable interactions that arise as a consequence of overlaying the video bit -rate
adaptation over HTTP. Building on these insights, we develop a suite of techniques that can
systematically guide the tradeoffs between stability, fairness, and efficiency and thus lead to a general
framework for robust video adaptation. We pick one concrete instance from this design space and show
that it significantly outperforms today's commercial players on all three key metrics across a range of
experimental scenarios.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.