Combinatorial double auction for resource allocation with differential privacy in edge computing

Jiang, Xutong; Sun, Yuhu; Liu, Bowen; Dou, Wanchun

doi:10.1016/j.comcom.2021.11.025

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…In [1] a new strategy is proposed for protecting the privacy of transactions in the edge computing resource trading market. This approach includes the use of double auction system and applying differential privacy techniques based on Gaussian mechanisms.…”

Section: Literature Surveymentioning

confidence: 99%

A Comprehensive Double Auction Mechanism for Edge Computing Services: A Survey

Waseem

2024

IJSREM

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Edge computing is the way of performing certain computing task closer to where people and their devices are present. Getting certain resources at the same time is somewhat difficult. These papers present contemporary solutions to optimize useful resources in cell-side computing systems, offering various methods including on line auctions, decentralized auction-based fully incentive mechanisms, combiner multi public sales and double public sales schemes fair protest and ensure that the associated challenges should be made front writers those strategies To expand the eclipse, involve strategies such as algorithms, tactical contracts, and tools learning plays a role, eventually especially improved performance, higher individuals enjoy, and more accept the validity of the systems involved. Keywords - Edge computing, auction, bidding, service providers.

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Section: Literature Surveymentioning

confidence: 99%

A Comprehensive Double Auction Mechanism for Edge Computing Services: A Survey

Waseem

2024

IJSREM

View full text Add to dashboard Cite

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“…In an area powered by edge computing, edge servers are located beside the access points or base stations [14] . In the edge computing environment, vendors can hire resources according to the same pay-as-you-go business pattern as in cloud computing [15] . By sending users’ spatio-temporal data to the edge servers, the possibility of a user becoming a close contact with a COVID-19 patient can be detected.…”

Section: Introductionmentioning

confidence: 99%