CloudSimDisk: Energy-Aware Storage Simulation in CloudSim
Louis, Baptiste (2015)
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2015072710733
http://urn.fi/URN:NBN:fi-fe2015072710733
Tiivistelmä
Cloud Computing paradigm is continually evolving, and with it, the size and the
complexity of its infrastructure. Assessing the performance of a Cloud environment
is an essential but strenuous task. Modeling and simulation tools have proved their
usefulness and powerfulness to deal with this issue. This master thesis work contributes to the development of the widely used cloud simulator CloudSim and proposes CloudSimDisk, a module for modeling and simulation of energy-aware storage in CloudSim. As a starting point, a review of Cloud simulators has been conducted and hard disk drive technology has been studied in detail. Furthermore, CloudSim has been identified as the most popular and sophisticated discrete event Cloud simulator. Thus, CloudSimDisk module has been developed as an extension of CloudSim v3.0.3. The source code has been published for the research community. The simulation results proved to be in accordance with the analytic models, and the scalability of the module has been presented for further development.
complexity of its infrastructure. Assessing the performance of a Cloud environment
is an essential but strenuous task. Modeling and simulation tools have proved their
usefulness and powerfulness to deal with this issue. This master thesis work contributes to the development of the widely used cloud simulator CloudSim and proposes CloudSimDisk, a module for modeling and simulation of energy-aware storage in CloudSim. As a starting point, a review of Cloud simulators has been conducted and hard disk drive technology has been studied in detail. Furthermore, CloudSim has been identified as the most popular and sophisticated discrete event Cloud simulator. Thus, CloudSimDisk module has been developed as an extension of CloudSim v3.0.3. The source code has been published for the research community. The simulation results proved to be in accordance with the analytic models, and the scalability of the module has been presented for further development.