Paper Info
Title
Smart Futures Based Resource Trading and Coalition Formation for Real-Time Mobile Data Processing
Abstract
Collaboration among mobile devices (MDs) is becoming more important, as it could augment computing capacity at the network edge through peer-to-peer service provisioning, and directly enhance real-time computational performance in smart Internet-of-Things applications. As an important aspect of collaboration mechanism, conventional resource trading (RT) among MDs relies on an onsite interaction process, i.e., price negotiation between service providers and requesters, which, however, inevitably incurs excessive latency and degrades RT efficiency. To overcome this challenge, this article adopts the concept of futures contract (FC) used in financial market, and proposes a smart futures for low latency RT. This new technique enables MDs to form trading coalitions and negotiate multilateral forward contracts applied to a collaboration term in the future. To maximize the benefits of self-interested MDs, the negotiation process of FC is modelled as a coalition formation game comprised of three components executed in an iterative manner, i.e., futures resource allocation, revenue sharing and payment allocation, and distributed decision-making of individual MD. Additionally, a FC enforcement scheme is implemented to efficiently manage the onsite resource sharing via recording resource balances of different task-types and MDs. Simulation results prove the superiority of smart futures in RT latency reduction and trading fairness provisioning.
Year
DOI
Venue
2022
10.1109/TSC.2021.3060343
IEEE Transactions on Services Computing
Keywords
DocType
Volume
Smart futures,coalition formation game,resource trading,task offloading,real-time data processing
Journal
15
Issue
ISSN
Citations 
5
1939-1374
0
PageRank 
References 
Authors
0.34
25
3
Name
Order
Citations
PageRank
Ruitao Chen111.02
Xianbin Wang22365223.86
Xue Liu38823.33