Beyond Single Bids: Serverless Combinatorial Auctions for Efficient Resource Allocation
Vraj Nilay Shah, Raj Singh, Pritam Sarkar, Sapthak Mohajon Turjya, Sujata Swain, Anjan Bandyopadhyay · 2024
In the world of cloud computing, serverless architecture has emerged as a disruptive paradigm, allowing developers to focus solely on code development while abstracting infrastructure management complexity. Nonetheless, optimizing resource allocation and price dynamics in serverless contexts is a continuing problem. This study investigates the creative incorporation of combinatorial auction processes into serverless computing, with the goal of streamlining resource allocation and pricing determinations. This paper elucidates the potential benefits of combinatorial auctions and their application to serverless systems by exploring the underlying concepts of resource allocation efficiency, cost-effectiveness, and overall performance improvement. Through an extensive review of existing literature and rigorous analysis, we demonstrate how the incorporation of combinatorial auctions can revolutionize resource utilization, alleviate vendor lock-in concerns, and catalyze the establishment of competitive pricing models in the domain of serverless computing. The findings given herein not only add to our theoretical understanding of combinatorial auctions in the context of serverless computing, but also lay the framework for actual implementation and future improvements in this field.