1. Linear Road: A Stream Data
Management Benchmark
Your name : Nabilahmed Patel
Email: nabilpatel11@gmail.com
2. References
A. Arasu, M. Cherniack, E. Galvez, D. Maier, A.
Maskey,E. Ryvkina, M. Stonebraker, R. Tibbetts.
Linear Road: A Stream Data Management
Benchmark. VLDB Conference, Toronto, Canada,
2004.
Sharma Chakravarthy 2
3. What I learnt from the abstract
Stream Data Management Systems (SDMS): process
streaming data by executing continuous and historical
queries while producing query results in real time.
Linear Road is benchmark makes it possible to compare
the performance characteristics of SDMS' relative to
each other and alternative (e.g. Relational Database
configured with triggers) systems.
It simulates a toll system for the motor vehicle
expressway of a large metropolitan area which uses
“variable tolling” or “congestion pricing” technique.
This technique uses dynamic factors as traffic
congestion and accident proximity to calculate toll
charges.
5/15/2016 © your name 3
4. What I learnt from the Intro
Before Linear road there was not any other way to
compare the performance characteristics of these
systems.
Linear Road is designed to measure how well a
system can meet real-time query response
requirements in processing high volume streaming
and historical data.
Experiments had been made to compare the
performance of an SDMS (Aurora) to a Relational
Database configured to process stream data inputs.
5/15/2016 © your name 4
5. What I learnt from the Intro (Cont.)
Due to unbounded and continuous nature of stream
data, input data introduces some unique challenges
1. Semantically Valid Input
2. Continuous Query Performance Metrics
3. Many Correct Results
4. No Query Language
There are some specific ways in which Linear Road
addresses this challenges.
5/15/2016 © your name 5
6. What I learnt from Related work
As mentioned before, it was the first attempt to
implement the benchmark for SDMS there was not
any related work available.
5/15/2016 © your name 6
7. What I learnt from conclusions
The purpose of Linear Road benchmark is to
stimulate creative thought on how to meet the
challenges of large scale streaming data
applications.
Experimental results suggest that a dedicated SDMS
can outperform a Relational Database system in
processing stream data by at least a factor of 5.
The performance gain is likely higher than this.
5/15/2016 © your name 7
8. Yes, I will present this paper
The Paper simulates the example of real world into
the design of SDMS by creative thoughts.
5/15/2016 © your name 8
9. Project
Team information
Nabilahmed Patel
Project Title
Performance Measurement or QOS Measurement
of DSMS(Data Stream Management System)
MavEStream
What exactly are you going to implement and
using what (own implementation, package,
downloaded system). Give details
I am going to use MavEStream and use the Traffic
Data set (Linear Road) to measure the QOS
(Quality of Services) of system mainly the response
time.
5/15/2016 © your name 9
10. Project (Cont.)
What data sets will you be using? And why?
I will use the traffic data set.
Do u have them? How do you plan on getting it?
NO. I am searching for it.
What do you intend to accomplish? Be clear
First I will get familiar with system and after that I will
create some queries and will run them on system to
measure the performance of system using data set
mentioned above.
5/15/2016 © your name 10
