A cooperative two-tier energy-aware scheduling for real-time tasks in computing clouds

Proceedings - 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2014

Volumn , Issue , 2014, Pages 178-182

  Hosseinimotlagh, Seyedmehdi ^a   Khunjush, Farshad ^a,b,c   Hosseinimotlagh, Seyedmahyar ^a  

^a SHIRAZ UNIVERSITY   (Iran)

^b UNIVERSITY OF HORMOZGAN   (Iran)

^c INSTITUTE FOR RESEARCH IN FUNDAMENTAL SCIENCES IPM   (Iran)

Author keywords

DVFS; Real time Tasks; SLA; Task Scheduling

Indexed keywords

ENERGY UTILIZATION; MULTITASKING; SCHEDULING ALGORITHMS; TURNAROUND TIME;

DVFS; ENERGY-AWARE SCHEDULING; ENVIRONMENTAL FOOTPRINTS; NETWORK INFRASTRUCTURE; REAL-TIME TASKS; SLA; TASK-SCHEDULING; TOTAL ENERGY CONSUMPTION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 84899417453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PDP.2014.91     Document Type: Conference Paper

References (20)

1. K. Kim et al.: "Power-aware provisioning of virtual machines for real time cloud services," Concurrency and Computation: Practice and Experience, 2011.
2. X. Fan et al.: "Power provisioning for a warehouse-sized computer," ACM SIGARCH Computer Architecture News, 35(2):13-23, 2007.
3. B. Li et al.: "Enacloud: an energy-saving application live placement approach for cloud computing environments," In Cloud Computing, 2009. CLOUD'09. IEEE International Conference on, pages 17-24. IEEE, 2009.
4. G. Semeraro et al.: "Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling," In: High-Performance Computer Architecture, 2002. Proceedings. Eighth International Symposium on, pp. 29-40. IEEE (2002).
5. Nicolò Maria Calcavecchia et al.: "Vm placement strategies for cloud scenarios," In Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pages 852-859. IEEE, 2012.
6. Ryan Jansen and Paul R Brenner: "Energy efficient virtual machine allocation in the cloud," In Green Computing Conference and Workshops (IGCC), 2011 International, pages 1-8. IEEE, 2011.
7. Kazuki Mochizuki and Shin-ichi Kuribayashi: "Evaluation of optimal resource allocation method for cloud computing environments with limited electric power capacity," In Network-Based Information Systems (NBiS), 2011 14th International Conference on, pages 1-5. IEEE, 2011.
8. Rong Ge et al.: "Performance-constrained distributed dvs scheduling for scientific applications on power-aware clusters." In Proceedings of the 2005 ACM/IEEE conference on Supercomputing, page 34. IEEE Computer Society, 2005.
9. A. Beloglazov and R. Buyya: "Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers," Concurrency and Computation: Practice and Experience, 2011.
10. Y. Lee and A. Zomaya: "Energy efficient utilization of resources in cloud computing systems," The Journal of Supercomputing, 60(2):268-280, 2012.
11. E. Pinheiro et al.: "Load balancing and unbalancing for power and performance in cluster-based systems," In Workshop on compilers and operating systems for low power, volume 180, pages 182-195, 2001.
12. H. Goudarzi et al.:"Sla-based optimization of power and migration cost in cloud computing," In Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on, pages 172-179. IEEE, 2012.
13. K. Kim et al.: "Power-aware provisioning of cloud resources for realtime services," In Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science, page 1. ACM, 2009.
14. A. Beloglazov et al.: "Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing," Future Generation Computer Systems, 28(5):755-768, 2012.
15. Iñigo Goiri et al.: "Energy-efficient and multifaceted resource management for profit-driven virtualized data centers," Future Generation Computer Systems, 28(5):718-731, 2012.
16. Massoud Pedram: "Energy-efficient datacenters," Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, 31(10):1465-1484, 2012.
17. R. Calheiros et al.: "Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms," Software: Practice and Experience 41(1), 23-50 (2011).
18. Saurabh Kumar Garg et al.: "Environment-conscious scheduling of hpc applications on distributed cloud-oriented data centers," Journal of Parallel and Distributed Computing, 71(6):732-749, 2011.
19. K. Choi et al.:"Dynamic voltage and frequency scaling under a precise energy model considering variable and fixed components of the system power dissipation," In Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design, pages 29-34. IEEE Computer Society, 2004.
20. R. Jejurikar et al.:"Leakage aware dynamic voltage scaling for real-time embedded systems," In Design Automation Conference, pages 275-280. ACM/IEEE, 2004.