Creation of data is increasing day by day and energy consumption follows. Concerns have been raised that their overgrowth in data center and computer hard disks creates capacity problems. This takes into account environmental and sustainability issue confronting the Information and communications technology (ICT) sector. Mapping CRUD operations (Create, Read, Update and Delete) illustrates the interactions of various processes in IT. Such activities are assess in the life cycle contents of a database from its creation to its editing "C", its reading "R", update "U" and its deletion "D". An energy model is developed throughout runtime behavior on central processing unit (CPU) for their equivalent queries (INSERT, SELECT, UPDATE and DELETE) in the relational database management system MySQL connected throughout Java applications System.nanotime(). The global energy consumption is analysed for each query individually and collectively in reverse sequence in desktop computer that uses offline data warehousing services versus private cloud storage service throughout network. This study provides insights about the energy profile of data storage in Cloud computing. It seeks to determine from the point of view of the Cloud computing service user’ if moving data towards private cloud achieve energy savings. Simulation results show that considering CRUD activities, private cloud storage is not always the greennes solution. This analysis assists managers in better overseeing their overall data storage strategy and possible future directions to move towards smart computing and a proposed cheme for cleanness data storage management while considering energy consumption of CRUD operations.
| Date | 3 Dec 2014 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Robert Hausler (Supervisor) & Mathias Glaus (Co-supervisor) |
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Sauveur, P. (Author),
Hausler (Supervisor) &
Glaus (Co-supervisor),
3 Dec 2014Student thesis: Master's thesis › Master in Engineering: Engineering