A DYNAMICAL AND LOAD-BALANCED FLOW SCHEDULING
APPROACH FOR BIG DATA CENTERS IN CLOUDS
ABSTRACT:
Load-balanced flow scheduling for big data centers in clouds, in which a large amount of
data needs to be transferred frequently among thousands of interconnected servers, is a key and
challenging issue
.
EXISTING SYSTEM:
In the Open Flow framework, actual data forwarding components and route setup
components are separately deployed on switches and controllers. The controllers determine data
forwarding rules. The Open Flow protocols ensure communications between switches and
controllers. Existing Open Flow based scheduling schemes, however, statically set up routes only
at the initialization stage of data transmissions, which suffers from dynamical flow distribution
and changing network states in data centers and often results in poor system performance.
DISADVANTAGES:

It does not support hash-based routing to spread traffic over multiple paths.

Statically set up routes at the initialization stage.
PROPOSED SYSTEM:
In this paper, we propose a novel dynamical load-balanced scheduling (DLBS) approach
for maximizing the network throughput while balancing workload dynamically. We firstly
formulate the DLBS problem, and then develop a set of efficient heuristic scheduling algorithms
for the two typical Open Flow network models, FPN and FTN, we proposed and implemented a
set of efficient scheduling algorithms DLBSFPN and DLBS-FTN respectively which balance
data flows time slot by time slot An Open Flow network typically consists of multi-layer
switches, multi-layer Flow Visors and Controllers the Open Flow switches actually forward data
packets; Flow Visors virtualize locations of the switches; and controllers set up data forwarding
rules and manage the network.
Further Details Contact: A Vinay 9030333433, 08772261612, 9014123891 #301, 303 & 304, 3rd Floor,
AVR Buildings, Opp to SV Music College, Balaji Colony, Tirupati - 515702 Email:
[email protected] | www.takeoffprojects.
ADVANTAGES:

Balances network sessions over multiple connections

Firstly, our algorithms can adapt to dynamical network states and changing traffic
requirements through updating load imbalance factor δ(t) and accordingly balancing the
transmission load slot by slot during data transmissions

Our algorithms can globally balance transmission traffic in the whole network by means
of evaluating link, path and network bandwidth utilization ratio proposed
SYSTEM ARCHITECTURE
SYSTEM REQUIREMENTS
Further Details Contact: A Vinay 9030333433, 08772261612, 9014123891 #301, 303 & 304, 3rd Floor,
AVR Buildings, Opp to SV Music College, Balaji Colony, Tirupati - 515702 Email:
[email protected] | www.takeoffprojects.
H/W System Configuration:Processor
-
Pentium –III
RAM
-
256 MB (min)
Hard Disk
-
20 GB
Key Board
-
Standard Windows Keyboard
Mouse
-
Two or Three Button Mouse
Monitor
-
SVGA
S/W System Configuration:Operating System
: Windows95/98/2000/XP
Application Server
: Tomcat5.0/6.X
Front End
: HTML, Jsp
Scripts
: JavaScript.
Server side Script
: Java Server Pages.
Database
: MySQL 5.0
Database Connectivity
: JDBC
Further Details Contact: A Vinay 9030333433, 08772261612, 9014123891 #301, 303 & 304, 3rd Floor,
AVR Buildings, Opp to SV Music College, Balaji Colony, Tirupati - 515702 Email:
[email protected] | www.takeoffprojects.