Performance Analysis of Min Max Task Scheduling Algorithms

Title:- An Efficient data transmission based on Min-max based scheduling
===========================================================================

Implementation Plan:
----------------------------------

Step 1: We create a Network, it consists of N - Nodes, and 1- Access Point.

Step 2: Initially, provides the Unique ID and weight values for all nodes

Step 3: Next, all nodes send the request message to the Access Point.

Step 4: Next, In Access Point perform the scheduling process based on Min-max based B_neck algorithm

Step 5: Next, based on the scheduled queue perform the FTP based data transmission between the nodes [sender and receiver].

[The process based your requirement ]

Step 6: Finally,we plot the results graph for packet delivery rate (PDR), throughput, End to End delay, Energy consumption , all parameters based on the number of nodes.


==============================================================================================================================
S/W Req:
---------------

1) ns-3.26
2) ubuntu 14.04 [32 bit]

====================================================================================
Note:-
======
1) During the simulation execution , the user can enter the value for N , based on the N value the network will be construct with N nodes. based on the different values of N , we can perform the different scenarios.
==========================================================================================

#cloudsim
#schedulingalgorithm
#minmaxscheduling
#cloudcomputing
#cloudtechnology
#cloudservices
#cloudmanagement
#cloudoptimization
#cloudautomation
--------------------------------------------------------------------------------------------------------
All types of network simulation tools support for your network research ideas such as

NS3, OMNET++ , MATLAB , MININET , NS2 , OPNET , PYTHON , COOJA , CONTIKI OS , QUALNET ,

OPNET , NETSIM , GNS3 , RTOOL , OPTISYSTEM , ONESIM ….will be supported under one roof.

We would be delighted to extend our support in utilizing network simulation tools to effectively
resolve any network research challenges that you may encounter.

For further support

visit us at : https://networksimulationtools.com

Mail us at : [email protected]

call us at : 94448 47435