A Method for Measuring Energy Consumption in IaaS Cloud

Subject Areas : Cloud, Cluster, Grid and P2P Computing

Derdus Kenga ¹ ( Strathmore university )
Vincent Omwenga ² ( Strathmore University )
Patrick Ogao ³ ( Technical university of Kenya )

Received: 2020-04-24 Accepted : 2020-07-15 Published : 2020-08-01

Keywords:

References:

[1]     I. Salam, R. Karim and M. Ali, "Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres," Journal of Cloud ComputingAdvances, Systems and Applications, vol. 7, no. 1, 2018. 
[2]     D. Sara and M. Hicham, "An Adaptive Autonomic Framework for Optimizing Energy Consumption in the Cloud Data Centers," International Journal of Intelligent Engineering and Systems, vol. 12, no. 4, pp. 111-129, 2019. 
[3]     I. Azlan, "Energy-driven cloud simulation: existing surveys, simulation supports, impacts and challenges," Cluster Computing - Springer, 2020. 
[4]     Y. Maede, G. R. Akbar and H. F. Mohammad, "emperature and energy-aware consolidation algorithms in cloud computing.," Journal of Cloud Computing , vol. 8, no. 13, 2019. 
[5]     M. Made and B. Behzad, "A Simplified Method of Measurement of Energy Consumptionin Cloud and Virtualized Environment," in International Conference on Big Data and Cloud Computing, Sydney, 2014. 
[6]     A. Noureddine, "Adel Noureddine. Towards a Better Understanding of the Energy Consumption of Software Systems.," Lille University of Science and Technology, Lille , 2014.
[7]     G. Chaima, "Energy efficient resource allocation in cloud computing Enviroment," Institut National des T´el´ecommunications, Paris, France , 2014.
[8]     J. Smith and I. Sommerville, "Workload Classification & Software Energy Measurement for Efficient Scheduling on Private Cloud Platforms," in Conference’10 University of St Andrews, 2011. 
[9]     N. K. Kashif, M. Hirki, N. Tapio, N. Jukka and O. Zhonghong, "RAPL in Action:Experiences in Using RAPL for Power measurements," ACM Transactions on Modeling and Performance Evaluation of Computing Systems, vol. 9, 2018. 
[10]     F. Muhammad, S. Arsalan, R. M. Ravi and L. Alexey, "A Comparative Study of Methods for Measurement of Energy of Computing," Energies - mdpi, vol. 12, no. 11, 2019. 
[11]     Phoronix Test Suite, "Phoronix Test Suite - Linux Testing and Benchmarking Platform, Automated Testing, Open-Source Benchmarking," Phoronix Media, 2018. [Online]. Available: https://www.phoronix-test-suite.com/. [Accessed 01 February 2020].
[12]     Phoronix Test Suite, "7-Zip Compression Test profile," Phoronix Test Suite, 2020. [Online]. Available: https://openbenchmarking.org/test/pts/compress-7zip. [Accessed March 01 2020].
[13]     Phoronix Media, "AIO-Stress test profile," Phoronix Media, 2020. [Online]. Available: https://openbenchmarking.org/test/pts/aio-stress. [Accessed May 05 2020].
[14]     G. Rishu and T. S., "A systematic review on the various approaches used for achieving Energy consumption in Cloud," Test Engineering and Management, vol. 82, pp. 3936 - 3953, 2020. 
[15]     M. Alexis and M.-M. Vania, "Automatic benchmark profiling through advanced workflow-based trace analysis," Practice and Experience, Wiley, vol. 48, no. 6, pp. 1195-1217, 2018. 
[16]     M. Made and Y. Pujianto, "Evaluating Energy Consumption in a Different Virtualization within a Cloud System," in 4th International Conference on Science and Technology , Yogyakarta, Indonesia, 2018. 
[17]     CSC, "Taito supercluster," CSC, 2020. [Online]. Available: https://research.csc.fi/guides. [Accessed 15 MArch 2020].
[18]     S. Yu, H. Yang, R. Wang, Z. Luan and D. Qian, "Evaluating architecture impact on system energy efficiency," PLoS ONE, vol. 12, no. 11, 2017. 
[19]     A. Ibrahim, D. Karim, A. Django and K. Richard, "Energy-Aware Profiling for Cloud Computing Environments," Electronic Notes in Theoretical Computer Science, vol. 318, pp. 91-108, 2015. 
[20]     Zabbix LLC, "Zabbix:: The Enterprise-Class Open Source Network Monitoring Solution," Zabbix , 2020. [Online]. Available: https://www.zabbix.com/. [Accessed March 01 2020].
[21]     T. Makris, "Measuring and Analyzing Energy Consumption," Aalto University, Espoo, Finland, 2017.
[22]     Phoronix Test Suite , "Phoronix Test Suite - Benchmarking Linux with Phoronix Test Suite - Lots of command line examples," Phoronix Test Suite , 2018. [Online]. Available: https://wiki.mikejung.biz/Phoronix_Test_Suite . [Accessed March 01 2020].
[23]     Phoronix Test Suite, "Phoromatic: Automated Linux Benchmark Management & Test Orchestration," Phoronix Test Suite, 2018. [Online]. Available: http://www.phoronix-test-suite.com/index.php?k=phoromatic#phoromatic. [Accessed 01 March 2020].
[24]     C.-Z. Mar, S. Lavinia, O. Anne-Cécile and P. Guillaume, "An experiment-driven energy consumption model for virtual machine management systems," Sustainable Computing: Informatics and Systems, vol. 18, pp. 163-174, 2018. 
[25]     C. HeeSeok, L. JongBeom, Y. Heonchang and E. Lee, "Task Classification Based Energy-Aware Consolidation in Clouds," Scientific Programming , vol. 2016, 2016. 
[26]     A. Mirabel and R. Siddiqui, "Energy Aware Consolidation in Cloud Computing," California State University, 2015.
[27]    M. David, G. Brian and W. Thomas, "PowerNap: Eliminating Server Idle Power," in Proceedings of the 14th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2009, Washington, DC, USA, 2009. 
[28]    X. Chen, L. Rupprecht, R. Osman, P. Pietzuch, F. Franciosi and W. Knottenbelt, "CloudScope: Diagnosing and Managing Performance Interference in Multi-tenant Clouds," in 2015 IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2015