A Geometric Approach to Improving Active
Packet Loss Measurement
Abstract.
Measurement and estimation of packet
loss characteristics are challenging due to the relatively rare occurrence and
typically short duration of packet loss episodes. While active probe tools are
commonly used to measure packet loss on end-to-end paths, there has been little
analysis of the accuracy of these tools or their impact on the network. The
objective of our study is to understand how to measure packet loss episodes
accurately with end-to-end probes. We begin by testing the capability of
standard Poisson- modulated end-to-end measurements of loss in a controlled
laboratory environment using IP routers and commodity end hosts. Our tests show
that loss characteristics reported from such Poisson-modulated probe tools can
be quite inaccurate over a range of traffic conditions. Motivated by these
observations, we introduce a new algorithm for packet loss measurement that is
designed to overcome the deficiencies in standard Poisson-based tools.
Specifically, our method entails probe experiments that follow a geometric
distribution to 1) enable an explicit trade-off between accuracy and impact on
the network, and 2) enable more accurate measurements than standard Poisson
probing at the same rate. We evaluate the capabilities of our methodology
experimentally by developing and implementing a prototype tool, called
BADABING. The experiments demonstrate the trade-offs between impact on the
network and measurement accuracy. We show that BADABING reports loss
characteristics far more accurately than traditional loss measurement tools.
Existing System:
- In an Existing System, they analyze the usefulness of Poisson Arrivals See Time Averages in the networking context. Of particular relevance to our work is Paxson’s recommendation and use of Poisson- modulated active probe streams to reduce bias in delay and loss measurements.
- Several studies include the use of loss measurements to estimate network properties such as bottleneck buffer size and cross traffic intensity, which is not accurate.
- Network tomography based on using both multicast and unicast probes has also been demonstrated to be in-effective (in some cases) for inferring loss rates on internal links on end-to-end paths.
Proposed System:
- The purpose of our study was to understand how to measure end-to-end packet loss characteristics accurately with probes and in a way that enables us to specify the impact on the bottleneck queue.
- The goal of our study is to understand how to accurately measure loss characteristics on end-to-end paths with probes.
- Specifically, our method entails probe experiments that follow a geometric distribution to 1) enable an explicit trade-off between accuracy and impact on the network, and 2) enable more accurate measurements than standard Poisson probing at the same rate.
- Our study consists of three parts: (i) empirical evaluation of the currently prevailing approach, (ii) development of estimation techniques that are based on novel experimental design, novel probing techniques, and simple validation tests, and (iii) empirical evaluation of this new methodology.
System
Requirements
Hardware:
PROCESSOR :
PENTIUM IV 2.6 GHz
RAM : 512
MB
MONITOR : 15”
HARD DISK : 20
GB
CDDRIVE : 52X
KEYBOARD : STANDARD
102 KEYS
MOUSE : 3 BUTTONS
Software:
FRONT END : JAVA, SWING
TOOLS USED : JFRAME BUILDER
OPERATING SYSTEM: WINDOWS XP
No comments:
Post a Comment