A Preference Based Multi Issue Negotiation Strategy for Fog Resource Allocation

Abstract

Fog computing is an evolving concept that extends facilities for computation, communication, and storage to the edge of a network. This report firstly examines the algorithmic developments in the field of fog computing. newlineFurthermore, the characteristics of fog computing services have notably expanded the scope of businesses benefiting from them. Consequently, a competitive market has emerged, comprising numerous consumers and providers of fog services. Since both parties are primarily motivated by self-interest, conflicts often arise, involving price and other issues. Automated negotiation techniques can resolve thèse issues, facilitate agreements, and optimize the overall utility of the system. However, both parties might have a preference for each other based on attributes like channel throughput, level of trust, and distance. The entities aim to associate with preferred opponents at negotiated values of negotiation issues. Limited fog resources re- strict the number of associations with a node, necessitating varying negotiation concessions to facilitate trade with preferred partners. This study introduces a preference-based price negotia- tion strategy, PREFNEG, and a preference-based multi-issue negotiation strategy, PMINA, for many-to-many, bilateral, and concurrent negotiations in the fog environment. Evaluation and comparison with existing schèmes reveal that the proposed approach enhances both average user and fog utilities newlineThe study optimizes the performance of PMINA by introducing a broker-based approach, aimed at reducing the number of packets exchanged. The evaluation of the scheme shows that the enhancement cornes at the cost of decreased user utility and necessitates an increase in negotiation rounds. newline newline