International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A Predictive Virtual Machine Placement in Decentralized Cloud using Blockchain

  • Suresh B.Rathod (Symbiosis International University India)
  • Received : 2024.04.05
  • Published : 2024.04.30
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Abstract

Host's data during transmission. Data tempering results in loss of host's sensitive information, which includes number of VM, storage availability, and other information. In the distributed cloud environment, each server (computing server (CS)) configured with Local Resource Monitors (LRMs) which runs independently and performs Virtual Machine (VM) migrations to nearby servers. Approaches like predictive VM migration [21] [22] by each server considering nearby server's CPU usage, roatative decision making capacity [21] among the servers in distributed cloud environment has been proposed. This approaches usage underlying server's computing power for predicting own server's future resource utilization and nearby server's resource usage computation. It results in running VM and its running application to remain in waiting state for computing power. In order to reduce this, a decentralized decision making hybrid model for VM migration need to be proposed where servers in decentralized cloud receives, future resource usage by analytical computing system and takes decision for migrating VM to its neighbor servers. Host's in the decentralized cloud shares, their detail with peer servers after fixed interval, this results in chance to tempering messages that would be exchanged in between HC and CH. At the same time, it reduces chance of over utilization of peer servers, caused due to compromised host. This paper discusses, an roatative decisive (RD) approach for VM migration among peer computing servers (CS) in decentralized cloud environment, preserving confidentiality and integrity of the host's data. Experimental result shows that, the proposed predictive VM migration approach reduces extra VM migration caused due over utilization of identified servers and reduces number of active servers in greater extent, and ensures confidentiality and integrity of peer host's data.

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References

  1. National Institute of Standards and Technology NIST[online].Available https://www.nist.gov/.
  2. Cloud computing dened Characteristics service levels- Cloud computing news[Online].Available https://www.ibm.com/blogs/cloud-computing/2014/01/cloudcomputing-defined-characteristics-service-levels/.
  3. Paraiso F, Merle P. A Study of Virtual Machine Placement Optimization in Data Centers, 7th International Conference on Cloud Computing and Services Science, CLOSER 2017, Porto, Portugal, pp.343-350(2017),
  4. Feller E, Morin C, Esnault A. A case for fully decentralized dynamic VM consolidation in clouds,CloudCom 2012 - Proc 2012 4th IEEE Int Conf Cloud Comput Technol Sci., Tai- wan ,pp. 26-33(2012).
  5. Wen, Wei-Tao,Wang, Chang-Dong,Wu, De-Shen, Xie, Ying-Yan. An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment 2015 Ninth Int Conf Front Comput Sci Technol, China,pp. 364- 369(2015).
  6. Grygorenko D, Farokhi S, Brandic. Cost-aware VM placement across distributed DCs using Bayesian networks, Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect Notes Bioinformatics),9512,32-48(2016).
  7. Benali R, Teyeb H, Balma A, Tata S, Ben Hadj-Alouane. N. Evaluation of traffic-aware VM placement policies in distributed cloud using Cloud Sim, Proc - 25th IEEE Int Conf Enabling Technol Infrastruct Collab Enterp WETICE 2016, France, pp. 95-100(2016).
  8. Bagheri Z, Zamanifar K.. Enhancing energy efficiency in resource allocation for real-time cloud services. 7th Int Symp Telecommun IST 2014, Iran, 701-706(2014).
  9. Ferdaus MH, Murshed M, Calheiros RN, Buyya R. An algorithm for network and data aware placement of multitier applications in cloud data centers. J Netw Comput Appl.,65-83(2017).
  10. Pantazoglou M, Tzortzakis G, Delis A. Decentralized and Energy-Efficient Workload Management in Enterprise Clouds.IEEE Trans Cloud Computing, 4(2), 196-209(2015),
  11. Nikzad S. An Approach for Energy Efficient Dynamic Virtual Machine Consolidation in Cloud Environment, International Journal of Advanced Computer Science and Applications,7(9), 1-9(2016).
  12. Zhao Y, Huang W.. Adaptive Distributed Load Balancing Algorithm Based on Live Migration of Virtual Machines in Cloud, Fifth Int Jt Conf INC, IMS IDC, Nexus, 170-175(2009).
  13. Fu X, Zhou C.Virtual machine selection and placement for dynamic consolidation in Cloud computing environment. Front Comput Sci., 9(2), 322-330(2015).
  14. Teng F, Yu L, Li T, Deng D, Magouls F.. Energy efficiency of VM consolidation in IaaS clouds, J Supercomput, 73(2), 782-809(2017).
  15. Arianyan E, Taheri H, Sharian S. Multi target dynamic VM consolidation in cloud data centers using genetic algorithm, J Inf Sci Eng.,32(4),1575-1593(2016).
  16. Double exponential smoothing Insight Central [Online].Available https://analysights.wordpress.com/tag/doubleexponential-smoothing/(2017).
  17. Mukhtarov M. Cloud Network Security Monitoring and Response System. International Transactions on Systems Science and Applications, 8(3),181-185(2012).
  18. Anala M.R., Kashyap M., Shobha G Application performance analysis during live migration of virtual machines, Advance Computing Conference (IACC), 2013 IEEE 3rd International , Mysore,India, 366-372.(2013).
  19. Tavakoli, Zahra,Meier, Sebastian,Vensmer, Alexander.A framework for security context migration in a firewall secured virtual machine environment,Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),7479 LNCS,41-51(2012).
  20. S.B.Rathod, V.Krishna Reddy, Decentralized Predictive Secure VS Placement In Cloud Environment, Journal of Computer science, Vol.14, Issue 4,pp- 396-407,(2018.)
  21. S.B.Rathod, V.KrishnaReddy,Predictive Virtual Machine Placement in Decentralized Cloud Environment, ICICEL Express Letters, Vol. 12, Issue 12 September 2018.
  22. S.B.Rathod, V.Krishna Reddy, Decision making framework for Decentralized Virtual Machine Placement, International Journal of Engineering Technology (UAE) Vol.7, Issue 2.7, pp-705-709, March, 2018.
  23. https://github.com/Azure/AzurePublicDataset/blob/master/AzurePublicDatasetV1Links.txt.