On Enabling Sustainable Edge Computing with Renewable Energy Resources

IEEE Communications Magazine

Volumn 56, Issue 5, 2018, Pages 94-101

  Li, Wei ^a   Yang, Ting ^b   Delicato, Flavia C ^c   Pires, Paulo F ^c   Tari, Zahir ^d   Khan, Samee U ^e   Zomaya, Albert Y ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b TIANJIN UNIVERSITY   (China)

^c FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^d RMIT UNIVERSITY   (Australia)

^e NORTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL STORAGE; EDGE COMPUTING; ENERGY MANAGEMENT; INTERNET OF THINGS; QUALITY OF SERVICE;

COMPUTING DEVICES; COMPUTING PARADIGM; DISTRIBUTED RENEWABLE ENERGY RESOURCES; ENERGY SUPPLY SYSTEM; INTERNET OF THINGS APPLICATIONS; MANAGEMENT FRAMEWORKS; RENEWABLE ENERGIES; STORAGE RESOURCES;

RENEWABLE ENERGY RESOURCES;

EID: 85047333595     PISSN: 01636804     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCOM.2018.1700888     Document Type: Article

References (15)

1. L. Atzori, A. Iera, and G. Morabito, "The Internet of Things: A Survey, " Computer Networks, vol. 54, no. 15, 2010, pp. 2787-2805.
2. P. Garcia Lopez et al., "Edge-Centric Computing: Vision and Challenges, " SIGCOMM Comp. Commun. Rev., vol. 45, no. 5, Sept. 2015, pp. 37-42.
3. W. Li et al., "System Modelling and Performance Evaluation of a Three-Tier Cloud of Things, " Future Generation Computer Systems, vol. 70, 2017, pp. 104-25.
4. "Renewable Energy: A World Turned Upside Down, " The Economist; http://www.economist.com/news/briefing/21717365-wind-And-solarenergy-Are-disrupting-century-old-model-providing-electricity-whatwill, accessed Aug. 17, 2017.
5. S. M. Nosratabadi, R.-A. Hooshmand, and E. Gholipour, "A Comprehensive Review on Microgrid and Virtual Power Plant Concepts Employed for Distributed Energy Resources Scheduling in Power Systems, " Renewable and Sustainable Energy Reviews, vol. 67, 2017, pp. 341-63.
6. J. Shuja et al., "Sustainable Cloud Data Centers: A Survey of Enabling Techniques and Technologies, " Renewable and Sustainable Energy Reviews, vol. 62, 2016, pp. 195-214.
7. M. A. A. Faruque and K. Vatanparvar, "Energy Management-As-A-Service over Fog Computing Platform, " IEEE Internet of Things J., vol. 3, no. 2, Apr. 2016, pp. 161-69.
8. F. Jalali et al., "Interconnecting Fog Computing and Microgrids for Greening IoT, " Proc. 2016 IEEE Innovative Smart Grid Technologies-Asia, Nov. 2016, pp. 693-98.
9. S. Comello and S. Reichelstein, "Cost Competitiveness of Residential Solar PV: The Impact of Net Metering Restrictions, " Renewable and Sustainable Energy Reviews, vol. 75, 2017, pp. 46-57.
10. M. R. Alam, M. St-Hilaire, and T. Kunz, "Computational Methods for Residential Energy Cost Optimization In Smart Grids: A Survey, " ACM Comp. Surv., vol. 49, no. 1, Apr. 2016, pp. 2:1-34.
11. P. Palensky and D. Dietrich, "Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads, " IEEE Trans. Industrial Informatics, vol. 7, no. 3, Aug. 2011, pp. 381-88.
12. "A 24-h Forecast of Solar Irradiance Using Artificial Neural Network: Application for Performance Prediction of a Grid-Connected PV Plant at Trieste, Italy, " Solar Energy, vol. 84, no. 5, 2010, pp. 807-21.
13. G. Sideratos and N. D. Hatziargyriou, "An Advanced Statistical Method for Wind Power Forecasting, " IEEE Trans. Power Systems, vol. 22, no. 1, Feb. 2007, pp. 258-65.
14. "A Parallel Bi-Objective Hybrid Metaheuristic for Energy-Aware Scheduling for Cloud Computing Systems, " J. Parallel and Distrib. Computing, vol. 71, no. 11, 2011, pp. 1497-1508.
15. N. Almoosa et al., "A Power Capping Controller for Multicore Processors, " Proc. 2012 American Control Conf., June 2012, pp. 4709-14.