Decentralized Computation Market for Stream Processing Applications

Scott Eisele, Michael Wilbur, Taha Eghtesad, Kevin Silvergold, Fred Eisele, Ayan Mukhopadhyay, Aron Laszka, Abhishek Dubey

Research output: Chapter in Book/Report/Conference proceedingConference contribution


While cloud computing is the current standard for outsourcing computation, it can be prohibitively expensive for cities and infrastructure operators to deploy services. At the same time, there are underutilized computing resources within cities and local edge-computing deployments. Using these slack resources may enable significantly lower pricing than comparable cloud computing; such resources would incur minimal marginal expenditure since their deployment and operation are mostly sunk costs. However, there are challenges associated with using these resources. First, they are not effectively aggregated or provisioned. Second, there is a lack of trust between customers and suppliers of computing resources, given that they are distinct stakeholders and behave according to their own interests. Third, delays in processing inputs may diminish the value of the applications. To resolve these chal-lenges, we introduce an architecture combining a distributed trusted computing mechanism, such as a blockchain, with an efficient messaging system like Apache Pulsar. Using this architecture, we design a decentralized computation market where customers and suppliers make offers to deploy and host applications. The proposed architecture can be realized using any trusted computing mechanism that supports smart contracts, and any messaging framework with the necessary features. This combination ensures that the market is robust without incurring the input processing delays that limit other blockchain based solutions. We evaluate the market protocol using game-theoretic analysis to show that deviation from the protocol is discouraged. Finally, we assess the performance of a prototype implementation based on experiments with a streaming computer-vision application.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE International Conference on Cloud Engineering, IC2E 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages11
ISBN (Electronic)9781665491150
StatePublished - 2022
Event10th IEEE International Conference on Cloud Engineering, IC2E 2022 - Pacific Grove, United States
Duration: Sep 26 2022Sep 30 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Cloud Engineering, IC2E 2022


Conference10th IEEE International Conference on Cloud Engineering, IC2E 2022
Country/TerritoryUnited States
CityPacific Grove

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Hardware and Architecture
  • Computer Networks and Communications


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