I am trying to build a geo-distributed scheduler which is energy aware and cost
minimization for the user. Initially I started with google workload traces, now
I have those workloads as Job Ids, CPU requirement, Memory Requirement,
Execution Time, Arrival Time in a text file. Next phase I gathered some google
data center profile characteristics, especially the temperature at google data
center locations, Green energy availability, Use of Economizers.
Next step is to build a scheduler which simulates the execution of those jobs
based on communication between the data centers and should be executed at the
data center gives the minimum cost to user while minimizing latency, energy
consumption.
I might be too broad in my question but will be glad to provide more input/or
clear your doubts/
So I also looked at all the 8 examples in cloudSim and they were pretty easy to
understand.
Now I am not sure how to make progress, and is the CloudSim the tool that I am
looking for?
What is the expected output? What do you see instead?
What version of the product are you using? On what operating system?
Please provide any additional information below.
Original issue reported on code.google.com by hd2...@gmail.com on 2 Apr 2015 at 11:50
Original issue reported on code.google.com by
hd2...@gmail.comon 2 Apr 2015 at 11:50