Profit-aware resource management for edge computing systems

EdgeSys 2018 - Proceedings of the 1st ACM International Workshop on Edge Systems, Analytics and Networking, Part of MobiSys 2018

Volumn , Issue , 2018, Pages 25-30

  Anglano, Cosimo ^a   Canonico, Massimo ^a   Guazzone, Marco ^a  

^a UNIVERSITY OF EASTERN PIEDMONT   (Italy)

Author keywords

Edge computing; Profit maximization; QoS; Server consolidation

Indexed keywords

APPROXIMATION ALGORITHMS; EDGE COMPUTING; POPULATION STATISTICS; QUALITY OF SERVICE;

ALTERNATIVE SOLUTIONS; INFRASTRUCTURE PROVIDERS; NEAR-REAL-TIME PROCESSING; OPTIMAL DECISIONS; PROFIT MAXIMIZATION; REALISTIC SCENARIO; RESOURCE MANAGEMENT; SERVER CONSOLIDATION;

PROFITABILITY;

EID: 85061709625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3213344.3213349     Document Type: Conference Paper

References (30)

1. M. Aazam et al. 2015. Dynamic resource provisioning through Fog micro data-center. In IEEE Int. Conf. on PerCom Workshops. 105–110.
2. th Conf. on AINA. 687–694.
3. th Asia-Pacific APNOMS. 309–314.
4. rd Int. Cloud and Green Computing Conference (CGC’13). 159–166.
5. rd IEEE Int. Conf. on Fog and Mobile Edge Computing (FMEC’18).
6. C. Anglano, M. Canonico, and M. Guazzone. 2015. FC2Q: Exploiting fuzzy control in server consolidation for cloud applications with SLA constraints. Concurrency and Computation: Practice and Experience 27, 17 (2015), 4491–4514.
7. C. Anglano, M. Canonico, and M. Guazzone. 2017. FCMS: A fuzzy controller for CPU and memory consolidation under SLA constraints. Concurrency and Computation: Practice and Experience 29, 5 (2017).
8. C. Anglano, M. Canonico, and M. Guazzone. 2018. Prometheus: A flexible toolkit for the experimentation with virtualized infrastructures. Concurrency and Computation: Practice and Experience 30, 11 (2018), e4400.
9. C. Anglano, M. Guazzone, and M. Sereno. 2014. Maximizing profit in green cellular networks through collaborative games. Computer Networks 75, Part A (2014), 260–275.
10. nd ACM/IEEE SEC. ACM, Article 5, 11 pages.
11. J. Banks et al. 2010. Discrete-Event System Simulation (5th ed.). Prentice Hall.
12. G. Bolch et al. 2006. Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications (2nd ed.). Wiley.
13. F. Bonomi et al. 2014. Fog Computing: A Platform for Internet of Things and Analytics. Springer, Cham, 169–186.
14. Charles C Byers. 2017. Architectural Imperatives for Fog Computing: Use Cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks. IEEE Commun. Mag. 55, 8 (2017), 14–20.
15. P. Garcia Lopez et al. 2015. Edge-centric Computing: Vision and Challenges. SIGCOMM Comput. Commun. Rev. 45, 5 (2015), 37–42.
16. rd IEEE Int. Conf. on Cloud Computing Technology and Science (CloudCom’11). 424–431.
17. st Int. Workshop on Energy-Efficient Data Centres (E2DC). 81–92.
18. th IEEE/ACM Int. Symposium on Cluster, Cloud and Grid Computing (CCGRID’14). 618–625.
19. IBM. 2018. ILOG CPLEX Optimization Studio. (2018).
20. K. Intharawijitr et al. 2016. Analysis of fog model considering computing and communication latency in 5G cellular networks. In IEEE Conf. on PerCom. 1–4.
21. D.B. Johnson et al. 1996. Dynamic Source Routing in Ad Hoc Wireless Networks. Springer US, 153–181.
22. C. Mouradian et al. 2017. A Comprehensive Survey on Fog Computing: State-of-the-art and Research Challenges. IEEE Commun. Surveys Tuts. (2017).
23. S. Ningning et al. 2016. Fog computing dynamic load balancing mechanism based on graph repartitioning. China Commun. 13, 3 (2016), 156–164.
24. nd VTC Fall. 1–5.
25. Primate Labs, Inc. 2018. GeekBench. (2018).
26. S. Rivoire et al. 2008. A Comparison of High-level Full-system Power Models. In 2008 Conf. on HotPower. USENIX, 3–3.
27. M. Satyanarayanan et al. 2009. The Case for VM-Based Cloudlets in Mobile Computing. IEEE Pervasive Comput. 8, 4 (2009), 14–23.
28. W. Vogels. 2008. Beyond Server Consolidation. Queue 6, 1 (2008), 20–26.
29. J. Weinman. 2017. The Economics of the Hybrid Multicloud Fog. IEEE Cloud Computing 4, 1 (2017), 16–21.
30. rd Int. Conf. on CSCloud. 247–251.