Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we design a strategic game that aims to deliver complementary data services among multiple data providers over a cloud intermediary platform. More specifically, we formalize the problem as an extended two-sided market model by courting on one side some influential data providers in order to attract other data providers on the same side to form a bundling of data services.

Original languageBritish English
Title of host publicationProceedings - 2021 IEEE International Conference on Services Computing, SCC 2021
EditorsBarbara Carminati, Carl K. Chang, Ernesto Damiani, Deng Shuiguang, Wei Tan, Zhongjie Wang, Robert Ward, Jia Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages443-449
Number of pages7
ISBN (Electronic)9781665416832
DOIs
StatePublished - 2021
Event2021 IEEE International Conference on Services Computing, SCC 2021 - Virtual, Online, United States
Duration: 5 Sep 202111 Sep 2021

Publication series

NameProceedings - 2021 IEEE International Conference on Services Computing, SCC 2021

Conference

Conference2021 IEEE International Conference on Services Computing, SCC 2021
Country/TerritoryUnited States
CityVirtual, Online
Period5/09/2111/09/21

Keywords

  • Applied game theory
  • Externalities
  • Two-sided market

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