Fair resource allocation algorithms (MLF-DRS, FFMRA, H-FFFMRA): The output and source codes for the experiments

166 30 443 2 1906 document 443 Experiments_data.zip application/zip 287e464a9cf9fc2d1c3cc654880a4c6e MD5 19874569 2021-06-01 11:10:24 https://bordar.bournemouth.ac.uk/166/1/Experiments_data.zip 166 1 1 application/zip archive This file includes the results from experiments as well as source codes for the project. en public cc_by_nd_4

Experiments_data.zip

full_archive 444 2 1908 document 444 README.txt text/plain 5bcb14c70a8f6a568ee6a1c9f9b108d7 MD5 1916 2021-06-01 11:11:01 https://bordar.bournemouth.ac.uk/166/2/README.txt 166 2 2 text/plain text en public cc_by_nd_4

README.txt

full_archive 445 1 1919 document 445 indexcodes.txt text/plain 2609bdd5d89c5799b8fb233fb52cd715 MD5 1018 2021-06-01 12:19:44 https://bordar.bournemouth.ac.uk/166/3/indexcodes.txt 166 3 3 text/plain other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://bordar.bournemouth.ac.uk/id/document/444 http://eprints.org/relation/isVolatileVersionOf https://bordar.bournemouth.ac.uk/id/document/444 http://eprints.org/relation/isIndexCodesVersionOf https://bordar.bournemouth.ac.uk/id/document/444 archive 7335 disk0/00/00/01/66 2021-11-01 10:32:23 2021-11-03 15:50:00 2021-11-01 10:32:23 data_collection show Hamzeh Hamed s5077150@bournemouth.ac.uk Fair resource allocation algorithms (MLF-DRS, FFMRA, H-FFFMRA): The output and source codes for the experiments pub facsci allocation, data, fairness, resource, workload In this thesis, we have used randomly generated workloads to evaluate the performance of proposed fair resource allocation algorithms (MLF-DRS, FFMRA, H-FFFMRA). The produced workloads have been directly fed into the simulation environment, considering different metrics such as resource allocation, utilization, and fairness. A sample CSV file has been provided that illustrates how the raw data generated by the mathematical models look (workload_0). This is a sample generated workload based on a single task with various resource demands in time-series experiments. The generated workload is used to determine allocation with respect to other tasks, submitted to the system. 2021-11-01 published Bournemouth University 10.18746/bmth.data.00000166 Other bordar@bournemouth.ac.uk Student Hamzeh Hamed s5077150@bournemouth.ac.uk Fairness for resource allocation in cloud computing thesis http://eprints.bournemouth.ac.uk/35652/ submitted Bournemouth University H-FFMRA: A Multi Resource Fully Fair Resources Allocation Algorithm in Heterogeneous Cloud Computing pub 10.1109/COMPSAC51774.2021.00172 DOI https://ieeexplore.ieee.org/document/9529581 pub IEEE The input data for the experiments has been produces during the simulation time. The outputs have been provided in a zip file for different metrics such as resource allocation, utilisation and fairness. The data has been produced during the experiments and using the CloudSim simulation framework. We have used randomly generated workloads and Google traces, including only 1% of the data that have been fed directly into the simulation environment. The link for the data set has been provided in the readme.txt file. The output data have been carefully gathered through time-series experiments. 2018-02-01 2020-07