b0dd1a7d-381e-45af-8201-5e95f461d067 beie director@blueeyesintelligence.org 10.35940/ijitee.F9532.0712823 Internet of ThingsAslanpour12100273202010.1016/j.iot.2020.100273M. S. Aslanpour, S. S. Gill and A. N. Toosi, "Performance evaluation metrics for Cloud, Fog and Edge computing: A review, taxonomy, benchmarks and standards for future research", Internet of Things, 12, 100273, 2020. [CrossRef]10.1007/s10586-016-0684-4S. H. H. Madni, M. S. A. Latiff, and Y. Coulibaly, "Recent advancements in resource allocation techniques for cloud computing environment: a systematic review," Cluster Comput., vol. 20, no. 3, pp. 2489-2533, 2017. [CrossRef]10.1002/dac.4090M. S. Aslanpour, M. Ghobaei‐Arani, M. Heydari, and N. Mahmoudi, "LARPA: A learning automata‐based resource provisioning approach for massively multiplayer online games in cloud environments," Int. J. Commun. Syst., p. e4090, 2019. [CrossRef]10.1007/s10586-017-1040-zS. S. Gill, I. Chana, M. Singh, and R. Buyya, "CHOPPER: an intelligent QoS-aware autonomic resource management approach for cloud computing," Cluster Comput., pp. 1-39, 2017. [CrossRef]10.1007/s10586-016-0623-4S. Singh, I. Chana, M. Singh, and R. Buyya, "SOCCER: self-optimization of energy-efficient cloud resources," Cluster Comput., vol. 19, no. 4, pp. 1787-1800, 2016. [CrossRef]10.1016/j.jnca.2017.07.012M. S. Aslanpour, M. Ghobaei-Arani, and A. Nadjaran Toosi, "Auto-scaling web applications in clouds: A cost-aware approach," J. Netw. Comput. Appl., vol. 95, 2017, doi: 10.1016/j.jnca.2017.07.012. [CrossRef]10.1007/s10723-015-9359-2S. Singh and I. Chana, "A survey on resource scheduling in cloud computing: Issues and challenges," J. grid Comput., vol. 14, no. 2, pp. 217-264, 2016. [CrossRef]10.1504/IJETP.2012.052112M. Uddin, A. A. Rahman and A. Shah, "Criteria to select energy efficiency metrics to measure performance of data centre," Int. J. Energy Technol. Policy, vol. 8, no. 3, pp. 224-237, 2012. [CrossRef]10.1007/s11227-011-0704-3L. Wang and S. U. Khan, "Review of performance metrics for green data centers: A taxonomy study," J. Supercomput., vol. 63, no. 3, pp. 639-656, 2013. [CrossRef]The Green Grid, "Harmonizing global metrics for data center energy efficiency," White Paper, 2014.10.1109/ITHERM.2010.5501366R. Tozer and M. Salim, "Data center air management metrics - practical approach," Proc. of 12th IEEE Intersoc. Conf. Therm. Thermomech. Phenom. Electron. Syst., pp. 1-8, 2010. [CrossRef]10.3943/2011.0014S. Flucker and R. Tozer, "Data centre cooling air performance metrics," Proc. of CIBSE Techn. Symp., Leicester, pp. 1-16, 2011. [CrossRef]10.1002/cpe.4834S. S. Gill, I. Chana, M. Singh, and R. Buyya, "RADAR: Self‐configuring and self‐healing in resource management for enhancing quality of cloud services," Concurr. Comput. Pract. Exp., p. e4834, 2018. [CrossRef]10.1016/j.jss.2020.110596S. S. Gill et al., "ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments," J. Syst. Softw., p. 110596, 2020. [CrossRef]10.1109/CGC.2013.76E. Volk, A. Tenschert, M. Gienger, A. Oleksiak, L. Siso, and J. Salom, "Improving energy efficiency in data centers and federated cloud environments: Comparison of CoolEmAll and Eco2-Clouds approaches and metrics," Proc. of 3rd Int. Conf. Cloud Green Comput., pp. 443-450, September, 2013. [CrossRef]D. Cole (2011), "Data center energy efficiency-looking beyond the PUE," Available Online at: http://www.missioncriticalmagazine.com/ext/resources/MC/Home/Files/PDFs/WP_LinkedIN%20DataCenterEnergy.pdf , White Paper.10.1002/9781119042655.ch8D. Kliazovich, P. Bouvry, F. Granelli, and N. Fonseca, "Energy consumption optimization in cloud data centers," Cloud Services, Networking, and Management, N. Fonseca and R. Boutaba, Eds., Wiley: Hoboken, NJ, USA, May 2015. [CrossRef]B. Heller, S. Seetharaman, P. Mahadevan, Y. Yiakoumis, P. Sharma, S. Banerjee and N. McKeown, "Elastictree: Saving energy in data center networks" Proc. of 7th USENIX Conf. Netw. Syst. Des. Implementation, vol. 3, pp. 19-21, 2010.10.1145/1816038.1816004D. Abts, M. R. Marty, P. M. Wells, P. Klausler and H. Liu, "Energy proportional datacenter networks," Proc. of ACM SIGARCH Comput. Archit. News, vol. 38, no. 3, pp. 338-347, 2010. [CrossRef]10.1007/s10723-015-9337-8D. Kliazovich, J. E. Pecero, A. Tchernykh, P. Bouvry, S. U. Khan and A. Y. Zomaya, "CA-DAG: Modeling communication-aware applications for scheduling in cloud computing," J. Grid Comput., pp. 1-17, 2015. [CrossRef]10.3233/IFS-151866S. Singh and I. Chana, "EARTH: Energy-aware autonomic resource scheduling in cloud computing," J. Intell. Fuzzy Syst., vol. 30, no. 3, pp. 1581-1600, 2016. [CrossRef]10.1016/j.jss.2019.05.025S. S. Gill et al., "Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge," J. Syst. Softw., vol. 155, pp. 104-129, 2019. [CrossRef]10.1145/3391196F. A. Salaht, F. Desprez, and A. Lebre, "An overview of service placement problem in fog and edge computing," ACM Comput. Surv., vol. 53, no. 3, pp. 1-35, 2020. [CrossRef]10.1109/MCC.2018.011791715S. S. Gill and R. Buyya, "SECURE: Self-protection approach in cloud resource management," IEEE Cloud Comput., vol. 5, no. 1, pp. 60-72, 2018. [CrossRef]Cisco, "Cisco Global Cloud Index: Forecast and Methodology, 2012-2017," White paper, 2013.10.1109/ICDCS.2017.54Y. Li, Y. Chen, T. Lan, and G. Venkataramani, "Mobiqor: Pushing the envelope of mobile edge computing via quality-of-result optimization," in 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017, pp. 1261-1270.10.1016/j.enbuild.2013.04.015J. Yuventi and R. Mehdizadeh (2013), "A critical analysis of power usage effectiveness and its use as data center energy sustainability metrics," Available Online at: http://cife.stanford.edu/sites/default/files/WP131_0.pdf [CrossRef]The Green Grid, "A metric for measuring the benefit of reuse energy from a data center," White Paper, 2010.(2009), "UPS load factor," Available Online at: http://hightech.lbl.gov/benchmarking-guides/data-p1.html(2009), "Data center efficiency-beyond PUE and DCiE," Available Online at: http://blogs.gartner.com/david_cappuccio/2009/02/15/data-center-efficiency-beyond-pue-and-dcie/10.2172/983248P. Mathew, "Self-benchmarking guide for data centers: Metrics, benchmarks, actions," Lawrence Berkeley National Laboratory, 2010. [CrossRef]H. Khandelwal, R. R. Kompella and R. Ramasubramanian, "Cloud monitoring framework," White Paper, 2010.10.1145/1921168.1921189L. Popa, S. Ratnasamy, G. Iannaccone, A. Krishnamurthy, and I. Stoica, "A cost comparison of datacenter network architectures," Proc. 6th Int. Conf., pp. 16:1-16:12, 2010. [CrossRef]10.1109/TSC.2017.2711009Y. Al-Dhuraibi, F. Paraiso, N. Djarallah, and P. Merle, "Elasticity in cloud computing: state of the art and research challenges," IEEE Trans. Serv. Comput., vol. 11, no. 2, pp. 430-447, 2018. [CrossRef]10.1109/IPDPS.2018.00079L. Zhou, C.-H. Chou, L. N. Bhuyan, K. K. Ramakrishnan, and D. Wong, "Joint Server and Network Energy Saving in Data Centers for Latency-Sensitive Applications," in 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018, pp. 700-709. [CrossRef]10.1109/HPCA.2019.00032C.-H. Chou, L. N. Bhuyan, and D. Wong, "μDPM: Dynamic Power Management for the Microsecond Era," in 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA), 2019, pp. 120-132.10.1016/j.jss.2019.04.058S. S. Gill, P. Garraghan, and R. Buyya, "ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices," J. Syst. Softw., vol. 154, pp. 125-138, 2019. [CrossRef]10.1371/journal.pone.0158229M. Abdullahi and M. A. Ngadi, "Hybrid symbiotic organisms search optimization algorithm for scheduling of tasks on cloud computing environment," PLoS One, vol. 11, no. 6, p. e0158229, 2016. [CrossRef]10.1109/ICCCN.2019.8847142A. J. Ferrer, J. M. Marques, and J. Jorba, "Ad-Hoc Edge Cloud: A Framework for Dynamic Creation of Edge Computing Infrastructures," in 2019 28th International Conference on Computer Communication and Networks (ICCCN), 2019, pp. 1-7. [CrossRef]10.1016/j.iot.2019.100118S. S. Gill et al., "Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges," Internet of Things, vol. 8, p. 100118, 2019. [CrossRef]10.1145/3241038S. S. Gill and R. Buyya, "A taxonomy and future directions for sustainable cloud computing: 360 degree view," ACM Comput. Surv., vol. 51, no. 5, pp. 1-33, 2018. [CrossRef]10.1109/ICDCSW.2012.17Y. Shang, D. Li and M. Xu, "A comparison study of energy proportionality of data center network architectures," Proc. 32nd Int. Conf. Distrib. Comput. Syst. Workshops, pp. 1-7, 2012. [CrossRef]10.1109/ICPPW.2010.68G. Varsamopoulos and S. K. S. Gupta, "Energy proportionality and the future: metrics and directions," Proc. 39th Int. Conf. Parallel Process. Workshops, pp. 461-467, 2010. [CrossRef]10.1109/CLOUD.2011.54P. Fan, J. Wang, Z. Zheng and M. Lyu, "Toward optimal deployment of communication-intensive cloud applications," Proc. IEEE Int. Conf. Cloud Comput., pp. 460-467, 2011. [CrossRef]10.1145/1594977.1592575R. Niranjan Mysore, A. Pamboris, N. Farrington, N. Huang, P. Miri, S. Radhakrishnan, V. Subramanya and A. Vahdat, "PortLand: A scalable fault-tolerant layer 2 data center network fabric," Proc. ACM SIGCOMM Comput. Commun. Rev., vol. 39, no. 4, pp. 39-50, 2009. [CrossRef]10.1145/1594977.1592576A. Greenberg, J. R. Hamilton, N. Jain, S. Kandula, C. Kim, P. Lahiri, D. A. Maltz, P. Patel and S. Sengupta, "VL2: A scalable and flexible data center network," Proc. ACM SIGCOMM Comput. Commun. Rev., vol. 39, no. 4, pp. 51-62, 2009. [CrossRef]10.1145/1594977.1592577C. Guo, G. Lu, D. Li, H. Wu, X. Zhang, Y. Shi, C. Tian, Y. Zhang and S. Lu, "BCube: A high performance, server-centric network architecture for modular data centers," ACM SIGCOMM Comput. Communi. Rev., vol. 39, no. 4, pp. 63-74, 2009. [CrossRef]10.1007/s10586-014-0404-xD. Boru, D. Kliazovich, F. Granelli, P. Bouvry and A. Y. Zomaya, "Energy-efficient data replication in cloud computing datacenters," Springer Cluster Comput., vol. 18, no. 1, pp. 385-402, 2015. [CrossRef]10.1145/1879141.1879175T. Benson, A. Akella and D. A. Maltz, "Network traffic characteristics of data centers in the wild," Proc. 10th ACM SIGCOMM Conf. Internet Meas., pp. 267-280, 2010. [CrossRef]10.1145/1672308.1672325T. Benson, A. Anand, A. Akella and M. Zhang, "Understanding data center traffic characteristics," ACM SIGCOMM Comput. Commun. Rev., vol. 40, no. 1, pp. 92-99, 2010. [CrossRef]10.1109/INFCOM.2011.5934955Y. Chen, S. Jain, V. K. Adhikari, Z.-L. Zhang and K. Xu, "A first look at inter-data center traffic characteristics via Yahoo! datasets," Proc. IEEE INFOCOM, pp. 1620-1628, 2011. [CrossRef]10.1109/SURV.2012.090512.00043M. Bari, R. Boutaba, R. Esteves, L. Granville, M. Podlesny, M. Rabbani, Q. Zhang and M. Zhani, "Data center network virtualization: A survey," IEEE Commun. Surveys Tuts., vol. 15, no. 2, pp. 909-928, Apr.-Jun. 2013. [CrossRef]10.1016/j.comcom.2013.11.005A. Hammadi and L. Mhamdi (2014), "A survey on architectures and energy efficiency in data center networks," Comput. Commun., 40, 0, pp. 1-21, Available Online at: http://www.sciencedirect.com/science/article/pii/S0140366413002727 [CrossRef]10.1364/OFC.2012.OW3J.1H. Cui, D. Rasooly, M. R. N. Ribeiro and L. Kazovsky, "Optically cross-braced hypercube: A reconfigurable physical layer for interconnects and server-centric datacenters," Proc. Opt. Fiber Commun. Conf. Expo. Nat. Fiber Optic Eng. Conf., pp. 1-3, Mar. 2012. [CrossRef](2012), "Dell PowerEdge R720 Specification Sheet," Available Online at: http://www.dell.com/downloads/global/products/pedge/dell-poweredge-r720 -spec-sheet.pdf10.1016/j.jss.2019.04.050S. Tuli, R. Mahmud, S. Tuli, and R. Buyya, "Fogbus: A blockchain-based lightweight framework for edge and fog computing," J. Syst. Softw., vol. 154, pp. 22-36, 2019. [CrossRef]10.1007/s11227-017-2156-xM. S. Aslanpour, S. E. Dashti, M. Ghobaei-Arani, and A. A. Rahmanian, "Resource provisioning for cloud applications: a 3-D, provident and flexible approach," J. Supercomput., 2017, doi: 10.1007/s11227-017-2156-x. [CrossRef]10.4018/IJGHPC.2017070101M. S. Aslanpour and S. E. Dashti, "Proactive Auto-Scaling Algorithm (PASA) for Cloud Application," Int. J. Grid High Perform. Comput., vol. 9, no. 3, pp. 1-16, Jul. 2017, doi: 10.4018/IJGHPC.2017070101. [CrossRef]