Cost-efficient workload scheduling in Cloud Assisted Mobile Edge computing

2017 IEEE/ACM 25th International Symposium on Quality of Service, IWQoS 2017

Volumn , Issue , 2017, Pages

  Ma, Xiao ^a   Zhang, Shan ^b   Li, Wenzhuo ^a   Zhang, Puheng ^a   Lin, Chuang ^a   Shen, Xuemin ^b  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTATIONAL COMPLEXITY; COSTS; DISTRIBUTED COMPUTER SYSTEMS; OPTIMIZATION; OUTSOURCING; QUALITY OF SERVICE; SCHEDULING;

COMPUTING CAPACITY; COMPUTING PARADIGM; EXPONENTIAL COMPLEXITY; EXTENSIVE SIMULATIONS; GREEDY ALGORITHMS; KARUSH-KUHN-TUCKER CONDITION; OPTIMIZATION PROBLEMS; TRANSMISSION OVERHEADS;

MOBILE CLOUD COMPUTING;

EID: 85027863746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWQoS.2017.7969148     Document Type: Conference Paper

References (31)

1. T. Chen, L.Ravindranath, S. Deng, P. Bahl, and H. Balakrishnan, "Glimpse: Continuous, real-time object recognition on mobile devices, " in ACM SenSys'15, Seoul, South Korea, Nov. 2015, pp. 155-168.
2. K. Ha, Z. Chen, W. Hu, W. Richter, P. Pillai, and M. Satyanarayanan, "Towards wearable cognitive assistance, " in ACM MobiSys'14, Bretton Woods, New Hampshire, USA, June 2014, pp. 68-81.
3. M. Satyanarayanan, P.Bahl, R. Caceres, and N. Davies, "The case for vm-based cloudlets in mobile computing, " IEEE Pervasive Comput., vol. 8, no. 4, pp. 14-23, Oct. 2009.
4. U. Drolia, R. Martins, J. Tan, A. Chheda, M. Sanghavi, R. Gandhi, and P. Narasimhan, "The case for mobile edge-clouds, " in IEEE UIC/ATC'13, Vietri sul Mare, Italy, Dec. 2013, pp. 209-215.
5. K. Ha, P. Pillai, W. Richter, Y. Abe, and M. Satyanarayanan, "Justin- time provisioning for cyber foraging, " in ACM MobiSys'13, Taipei, Taiwan, June 2013, pp. 153-166.
6. B. Liang, "Mobile edge computing, " in Key Technologies for 5G Wireless Systems, V. W. S. Wong, R. Schober, D. W. K. Ng, and L.-C. Wang, Eds., Cambridge University Press, 2017.
7. L. Tong, Y. Li, and W. Gao, "A hierarchical edge cloud architecture for mobile computing, " in IEEE INFOCOM'16, San Francisco, CA, USA, July 2016, pp. 1-9.
8. B. Sotomayor, R. S. Montero, I. M. Llorente, and I. Foster, "Virtual infrastructure management in private and hybrid clouds, " IEEE Internet comput., vol. 13, no. 5, Sep. 2009.
9. R. V. Bossche, K. Vanmechelen, and J. Broeckhove, "Cost-optimal scheduling in hybrid iaas clouds for deadline constrained workloads, " in IEEE CLOUD'10, Miami, Florida, USA, July 2010, pp. 228-235.
10. T. Soyata, R. Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman, "Cloud-vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture, " in IEEE ISCC'12, Cappadocia, Turkey, July 2012, pp. 59-66.
11. S. Boyd and L. Vandenberghe, Convex optimization. Cambridge university press, 2004.
12. J. Wu, S. Zhou, and Z. Niu, "Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks, " IEEE Trans. Wireless Commun., vol. 12, no. 8, pp. 4196- 4209, July 2013.
13. "Amazon EC2, " Online available: https://aws.amazon.com/cn/ec2/.
14. T. Q. S. Quek, G. Roche, I. Güvenc, and M. Kountouris, Small cell networks: Deployment, PHY techniques, and resource management. Cambridge University Press, 2013.
15. P. Yang, N. Zhang, Y. Bi, L. Yu, and X. Shen, "Catalyzing cloudfog interoperation in 5G wireless networks: An sdn approach, " arXiv: 1612.05291, 2016.
16. A. L. Jin, W. Song, and W. Zhuang, "Auction-based resource allocation for sharing cloudlets in mobile cloud computing, " IEEE Trans. Emerg. Topic Comput., vol. PP, no. 99, Oct. 2015.
17. D. Huang, P. Wang, and D. Niyato, "A dynamic offloading algorithm for mobile computing, " IEEE Trans. Wireless Commun., vol. 11, no. 6, pp. 1991-1995, Apr. 2012.
18. K. Kumar, J. Liu, Y. Lu, and B. Bhargava, "A survey of computation offloading for mobile systems, " Mobile Netw. Appl., vol. 18, no. 1, pp. 129-140, 2013.
19. A. Rudenko, P. Reiher, G. J. Popek, and G. H. Kuenning, "Saving portable computer battery power through remote process execution, " ACM SIGMOBILE Mobile Computing and Communications Review, vol. 2, no. 1, pp. 19-26, Jan. 1998.
20. Y. Wen, W. Zhang, and H. Luo, "Energy-optimal mobile application execution: Taming resource-poor mobile devices with cloud clones, " in IEEE INFOCOM'12, Orlando, Florida, USA, May 2012, pp. 2716-2720.
21. R. Wolski, S. Gurun, C. Krintz, and D. Nurmi, "Using bandwidth data to make computation offloading decisions, " in IEEE IPDPS'08, Miami, Florida, USA, Apr. 2008, pp. 1-8.
22. C. Xian, Y. Lu, and Z. Li, "Adaptive computation offloading for energy conservation on battery-powered systems, " in IEEE ICPADS'07, Hsinchu, Taiwan, Dec. 2007, pp. 1-8.
23. S. Barbarossa, S. Sardellitti, and P. D. Lorenzo, "Joint allocation of computation and communication resources in multiuser mobile cloud computing, " in IEEE SPAWC'13, Darmstadt, Germany, June 2013, pp. 26-30.
24. X. Chen, "Decentralized computation offloading game for mobile cloud computing, " IEEE Trans. Parallel Distrib. Syst., vol. 26, no. 4, pp. 974- 983, Apr. 2015.
25. M. R. Rahimi, N. Venkatasubramanian, and A. V. Vasilakos, "Music: Mobility-aware optimal service allocation in mobile cloud computing, " in IEEE CLOUD'13, Santa Clara Marriott, CA, USA, June 2013, pp. 75-82.
26. L. Yang, J. Cao, Y. Yuan, T. Li, A. Han, and A. Chan, "A framework for partitioning and execution of data stream applications in mobile cloud computing, " ACM SIGMETRICS Performance Evaluation Review, vol. 40, no. 4, pp. 23-32, Mar. 2013.
27. X. Chen, L. Jiao, W. Li, and X. Fu, "Efficient multi-user computation offloading for mobile-edge cloud computing, " IEEE/ACM Trans. Netw., vol. 24, no. 5, pp. 2795-2808, Oct. 2016.
28. X. Ma, C. Lin, X. Xiang, and C. Chen, "Game-theoretic analysis of computation offloading for cloudlet-based mobile cloud computing, " in ACM MSWiM'15, Cancun, Mexico, Nov. 2015, pp. 271-278.
29. H. Zhang, G. Jiang, K. Yoshihira, H. Chen, and A. Saxena, "Intelligent workload factoring for a hybrid cloud computing model, " in IEEE World Conference on Services-I, Los Angeles, CA, USA, July 2009, pp. 701- 708.
30. X. Qiu, W. L. Yeow, C. Wu, and F. C. Lau, "Cost-minimizing preemptive scheduling of mapreduce workloads on hybrid clouds, " in IEEE/ACM IWQoS'13, Montreal, Canada, June 2013, pp. 1-6.
31. Y. Niu, B. Luo, F. Liu, J. Liu, and B. Li, "When hybrid cloud meets flash crowd: Towards cost-effective service provisioning, " in IEEE INFOCOM'15, Hong Kong, China, Apr. 2015, pp. 1044-1052.