MongoDB Vs Cassandra: Energy consumption Evaluation and Comparative studies towards Query Energy Efficiency
Organization
Data Group Sytems
Abstract
Nowadays, energy efficiency (EE) is becoming more and more critical, even a selling point in computer systems. Many efforts have been made at different levels to increase EE including as selection of energy efficient chemical components, optimal design of logic circuits, and efficient design of algorithms as well as definition of techniques to manage the trade-off between energy and performance, etc.
Some academic work has attempted to address this objective by proposing less energy-intensive solutions. In the latter categories, mathematical models estimating the energy cost during query execution have been developed and evaluated but these do not cover NoSQL data management systems. The objective of this master thesis is to overcome the limitations of existing work on the energy consumption of data management systems by covering NoSQL systems by proposing some new approaches toward energy saving.
Some academic work has attempted to address this objective by proposing less energy-intensive solutions. In the latter categories, mathematical models estimating the energy cost during query execution have been developed and evaluated but these do not cover NoSQL data management systems. The objective of this master thesis is to overcome the limitations of existing work on the energy consumption of data management systems by covering NoSQL systems by proposing some new approaches toward energy saving.
Graduation Theses defence year
2022-2023
Supervisor
Simon Pierre DEMBELE
Spoken language (s)
English
Requirements for candidates
Level
Masters
Keywords
Application of contact
Name
Ahmed Awad
Phone
E-mail
Full Document