Abstract | ||
---|---|---|
One major research direction in cloud computing deals with the reduction of energy consumption. This can be seen as an optimization problem that must be addressed both at the hardware and the application (i.e., software) level. At the software level, optimizing energy consumption is usually related with scaling down the resources required for running an application (e.g., memory, CPU usage). In this context we can make the assumption that the presence of design flaws in the implementation of a software system may lead to a suboptimal resource usage. Our investigations on the impact of several design flaws on the amount of resources used by an application indicate that the presence of design flaws has an influence on memory consumption and CPU time and that proper refactoring can have a beneficial influence on resource usage. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1007/978-3-319-13464-2_13 | ADAPTIVE RESOURCE MANAGEMENT AND SCHEDULING FOR CLOUD COMPUTING (ARMS-CC 2014) |
Keywords | Field | DocType |
Design flaws,Resource usage,Energy optimization,Energy consumption,Cloud computing | CPU time,Computer science,Software system,Software,Code refactoring,Energy consumption,Optimization problem,Energy minimization,Distributed computing,Cloud computing | Conference |
Volume | ISSN | Citations |
8907 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 18 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cristina Marinescu | 1 | 0 | 0.34 |
Serban Stoenescu | 2 | 0 | 0.34 |
Teodor-Florin Fortis | 3 | 173 | 19.38 |