QoS-oriented capacity planning for edge computing

IEEE International Conference on Communications

Volumn , Issue , 2017, Pages

  Xiao, Yu ^a   Noreikis, Marius ^a   Yla Jaaiski, Antti ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Capacity planning; edge computing; real time applications

Indexed keywords

EID: 85028361530     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2017.7997387     Document Type: Conference Paper

References (19)

1. M. Abrash. Latency -The sine qua non of ar and vr. http://blogs.valvesoftware.com/abrash/latency-The-sine-qua-non-of-Ar-And-vr, 2009.
2. E. Baik, A. Pande, Z. Zheng, and P. Mohapatra. Vsync: Cloud based video streaming service for mobile devices. In Proc. of INFOCOM'16, pages 1-9. IEEE, 2016.
3. A. Brunnert and H. Kremar. Continuous performance evaluation and capacity planning using resource profiles for enterprise applications. Journal of Systems and Software, 123:239-262, 2017.
4. D. Candeia, R. A. Santos, and R. Lopes. Business-driven long-Term capacity planning for saas applications. IEEE Transactions on Cloud Computing, 3(3):290-303, 2015.
5. J. P. Champati and B. Liang. One-restart algorithm for scheduling and offloading in a hybrid cloud. In Proc. of IWQoS'15. IEEE, 2015.
6. N. Chatterjee, M. O'Connor, G. H. Loh, N. Jayasena, and R. Balasubramonian. Managing dram latency divergence in irregular gpgpu applications. In Proc. of SC'14, pages 128-139. IEEE Press, 2014.
7. J. Dong, Y. Xiao, M. Noreikis, Z. Ou, and A. Yla-Jaaski. imoon: Using smartphones for image-based indoor navigation. In Proc. of SenSys '15, pages 85-97, Seoul, Korea.
8. R. Gao, M. Zhao, T. Ye, F. Ye, Y. Wang, K. Bian, T. Wang, and X. Li. Jigsaw: Indoor floor plan reconstruction via mobile crowdsensing. In Proc. of MobiCom '14, pages 249-260, Maui, Hawaii, USA.
9. S. K. Garg and R. Buyya. Networkcloudsim: Modelling parallel applications in cloud simulations. In Proc. of UCC'11, pages 105-113. IEEE, 2011.
10. M. Gonçalves, M. Cunha, N. C. Mendonça, and A. Sampaio. Performance inference: A novel approach for planning the capacity of iaas cloud applications. In Proc. of CLOUD'15, pages 813-820. IEEE, 2015.
11. W. Hu, Y. Gao, K. Ha, J. Wang, B. Amos, Z. Chen, P. Pillai, and M. Satyanarayanan. Quantifying the impact of edge computing on mobile applications. In Proc. of APSys'16, page 5. ACM, 2016.
12. Y. Jiang, C.-S. Perng, T. Li, and R. N. Chang. Cloud analytics for capacity planning and instant vm provisioning. TNSM, 10(3):312-325, 2013.
13. S. Martello and P. Toth. Knapsack problems: Algorithms and computer implementations. John Wiley & Sons, Inc., 1990.
14. J. Nielsen. Response times: The 3 important limits. https://www.nngroup.com/articles/response-Times-3-important-limits/.
15. W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu. Edge computing: Vision and challenges. In IEEE Internet of Things Journal, volume 3, pages 637-646. IEEE, 2016.
16. L. Tong, Y. Li, and W. Gao. A hierarchical edge cloud architecture for mobile computing. In Proc. of INFOCOM'16. IEEE, 2016.
17. W.-J. Wang, Y.-S. Chang, W.-T. Lo, and Y.-K. Lee. Adaptive scheduling for parallel tasks with qos satisfaction for hybrid cloud environments. The Journal of Supercomputing, 66(2):783-811, 2013.
18. X. Wang, M. Chen, T. T. Kwon, L. Yang, and V. C. Leung. Amescloud: A framework of adaptive mobile video streaming and efficient social video sharing in the clouds. IEEE MM, 15(4):811-820, 2013.
19. H. Zhang, G. Jiang, K. Yoshihira, and H. Chen. Proactive workload management in hybrid cloud computing. IEEE TNSM, 11(1):90-100, 2014.