A
SCALABLE FRAMEWORK FOR WIRELESS DISTRIBUTED COMPUTING
ABSTRACT
A
wireless distributed computing system, in which multiple mobile
users,
connected wirelessly through an access point, collaborate to perform a
computation task. When users communicate with each other via the access point
to exchange their locally computed intermediate computation results, which is
known as data shuffling. We propose a scalable framework for this
system, in which the required communication bandwidth for data shuffling does
not increase with the number of users in the network idea is to utilize a
particular repetitive pattern of placing the data set (thus a particular
repetitive pattern of intermediate computations). In order to provide the
coding opportunities at both the users and the access point
CONTINUE
We also demonstrate that the proposed data set placement and coded
shuffling schemes are optimal (i.e., achieve the minimum required
shuffling
load) for both a centralized setting and a decentralized
setting, by developing tight information-theoretic lower bounds.
EXISTING
SYSTEM
A wireless distributed computing system,
in which multiple mobile
users,
connected wirelessly through an access point, collaborate to perform a
computation task.
DISADVANTAGES
Multiple users takes place
Data shuffling is done
PROPOSED
SYSTEM
Scalable
wireless distributed computing framework, for both the centralized and the
decentralized settings, such that the shuffling load does not increase with the
number of participating users. In particular, we use are repetitive placement
of the dataset across the users to enable coding, reducing the shuffling load
by a factor that scales linearly with the network size.
ADVANTAGES
Shuffling does not increase the number of participating users
repetitive placement of the dataset across the users to
enable
coding reducing the shuffling
achieve the minimum required shuffling load
improving the response
latency, increasing their computing capabilities, and enabling
complex applications in machine learning, data analytics, and
autonomous
operation
SYSTEM
REQUIREMENTS
HARDWARE
REQUIREMENTS
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
SOFTWARE
REQUIREMENTS
Operating system : Windows XP/7.
Coding Language : ASP.net, C#.net
Tool : Visual Studio 2010
Database : SQL SERVER 2008
CONCLUSION
In
this paper, we proposed a scalable wireless distributed computing framework,
for both the centralized and the decentralized settings, such that the
shuffling load does not increase with the number of participating users. In
particular, we use a repetitive placement of the dataset across the users to
enable coding, reducing the shuffling load by a factor that scales linearly
with the network size.
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