Energy Saving Mechanism Analysis Based on Dynamic Resource Scaling for Cloud Computing

• Published in: Algorithms and Architectures for Parallel Processing pp. 293 - 301
• Main Authors: Zhang, Xiaojie, Wang, Nao, Zheng, Xin, Wang, Caocai, Bin, Dongmei
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Cloud computing; Dynamic voltage frequency scaling; Energy efficiency analysis; Energy saving
• ISBN: 9783319271606; 3319271601
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-27161-3_25

To solve the current high energy consumption problem in cloud computing, the paper proposes an energy saving strategy– Computing Resources Dynamic Power-aware (CRDP). For the case of multiple tasks on one server in cloud computing system, the strategy tries to set processor supply voltage to lower level when a task is finished and the computing resource it possesses is idle to reduce the energy consumption caused by computing resource idle. And the lowing of supply voltage is within left unfinished tasks response time constraint to ensure the system performance. Based on process analysis of executing tasks on a server, energy consumption model and performance model of system are built. Simulation results show that the CRDP can improve the energy efficiency while meeting the quality of service requirement.