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Reducing Electric Energy Consumption of Servers in Multi-version Timestamp Ordering Algorithm

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Advances in Networked-based Information Systems (NBiS 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 183))

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Abstract

The Multi-Version Timestamp Ordering (MVTO) algorithm is so far proposed to implement the Multi-Version Concurrency Control (MVCC). The MVTO algorithm can enhance the concurrency of transactions but does not consider the electric energy consumption to perform transactions. The Energy-Saving Multi-Version Timestamp Ordering with Virtual Machines (ESMVTO-VM) algorithm is proposed to not only enhance the concurrency of transactions but also reduce the electric energy consumption of servers in our previous studies. In this paper, an Improved ESMVTO-VM (IESMVTO-VM) algorithm is newly proposed to more reduce the electric energy consumption of servers by improving the ESMVTO-VM algorithm. The electric energy consumption of servers is shown to be more reduced in the IESMVTO-VM algorithm than the ESMVTO-VM algorithm in evaluation.

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References

  1. Nakamura, S., Enokido, T., Takizawa, M.: Time-based legality of information flow in the capability-based access control model for the Internet of Things. Concurrency Comput. Pract. Experience, 33(23), e5944(2021). https://doi.org/10.1002/cpe.5944

  2. Enokido, T., Takizawa, M.: The redundant energy consumption laxity based algorithm to perform computation processes for IoT services. Internet of Things 9, 100165 (2020). https://doi.org/10.1016/j.iot.2020.100165

    Article  Google Scholar 

  3. Enokido, T., Duolikun, D., Takizawa, M.: An energy-efficient quorum-based locking protocol by omitting meaningless methods on object replicas. J. High Speed Netw. 28(3), 181–203 (2022)

    Article  Google Scholar 

  4. Enokido, T., Duolikun, D., Takizawa, M.: Energy-efficient concurrency control by omitting meaningless write methods in object-based systems. In: Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022), pp. 129–139 (2022)

    Google Scholar 

  5. Enokido, T., Duolikun, D., Takizawa, M.: Energy consumption laxity-based quorum selection for distributed object-based systems. Evol. Intel. 13, 71–82 (2020)

    Article  Google Scholar 

  6. Gray, J.N.: Notes on data base operating systems. In: Bayer, R., Graham, R.M., Seegmüller, G. (eds.) Operating Systems. LNCS, vol. 60, pp. 393–481. Springer, Heidelberg (1978). https://doi.org/10.1007/3-540-08755-9_9

    Chapter  Google Scholar 

  7. Bernstein, P.A., Hadzilacos, V., Goodman, N.: Concurrency control and Recovery in Database Systems. Addison-Wesley, Boston (1987)

    Google Scholar 

  8. Bernstein, P.A., Goodman, N.: Multiversion concurrency control - theory and algorithms. ACM Trans. Database Syst. 8(4), 465–483 (1983)

    Article  MathSciNet  MATH  Google Scholar 

  9. Reed, D.: Naming and synchronization in a decentralized computer system. Technival report MIT/LCS/TR-205, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (1978). http://hdl.handle.net/1721.1/16279

  10. Garcia-Molina, H., Barbara, D.: How to assign votes in a distributed system. J. ACM 32(4), 814–860 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  11. Enokido, T., Duolikun, D., Takizawa, M.: Energy-saving multi-version timestamp ordering algorithm for virtual machine environments. accepted for publication. In: Barolli, L. (ed.) Complex, Intelligent, and Software Intensive Systems. CISIS 2023, LNCS, vol. 176, pp. 13–20. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-35734-3_2

  12. Enokido, T., Takizawa, M.: The power consumption model of a server to perform data access application processes in virtual machine environments. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds.) AINA 2020. AISC, vol. 1151, pp. 184–192. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-44041-1_17

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Business Administration, Rissho University, 4-2-16, Osaki, Tokyo, Shinagawa-ku, 141-8602, Japan

    Tomoya Enokido

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, 3-7-2, Kajino-cho, Tokyo, Koganei-shi, 184-8584, Japan

    Dilawaer Duolikun

  3. Research Center for Computing and Multimedia Studies, Hosei University, 3-7-2, Kajino-cho, Tokyo, Koganei-shi, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Tomoya Enokido
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  2. Dilawaer Duolikun
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  3. Makoto Takizawa
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Corresponding author

Correspondence to Tomoya Enokido .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Enokido, T., Duolikun, D., Takizawa, M. (2023). Reducing Electric Energy Consumption of Servers in Multi-version Timestamp Ordering Algorithm. In: Barolli, L. (eds) Advances in Networked-based Information Systems. NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-031-40978-3_4

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