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The Effect of Thickness-Based Dynamic Matching Mechanism on a Hyperledger Fabric-Based TimeBank System

Author

Listed:
  • Jhan-Jia Lin

    (Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Yu-Tse Lee

    (Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan)

  • Ja-Ling Wu

    (Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan)

Abstract

In a community with an aging population, helping each other is a must society function. Lacking mutual trust makes the need for a fair and transparent service exchange platform on top of the public service administration’s list. We present an efficient blockchain-based TimeBank realization with a newly proposed dynamic service matching algorithm (DSMA) in this work. The Hyperledger Fabric (or Fabric in short), one of the well-known Consortium Blockchains, is chosen as our system realization platform. It provides the identity certification mechanism and has an extendable network structure. The performance of a DSMA is measured by the waiting time for a service to get a match, called the service-matching waiting time (SMWT). In our DSMA, the decision as to whether a service is to get a match or wait for a later chance depends dynamically on the total number of contemporarily available services (i.e., the thickness of the service market). To better the proposed TimeBank system’s service quality, a Dynamic Tuning Strategy (DTS) is designed to thicken the market size. Experimental results show that a thicker market makes on-chain nodes have more links, and in turn, they find a match easier (i.e., consume a shorter SMWT).

Suggested Citation

  • Jhan-Jia Lin & Yu-Tse Lee & Ja-Ling Wu, 2021. "The Effect of Thickness-Based Dynamic Matching Mechanism on a Hyperledger Fabric-Based TimeBank System," Future Internet, MDPI, vol. 13(3), pages 1-21, March.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:3:p:65-:d:511890
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    References listed on IDEAS

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    Cited by:

    1. Dénes László Fekete & Attila Kiss, 2021. "A Survey of Ledger Technology-Based Databases," Future Internet, MDPI, vol. 13(8), pages 1-22, July.

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