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Title: Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework
Authors: Aggarwal A.
Kumar, Neetesh Sharath
Vidyarthi D.P.
Buyya R.
Published in: Simulation Modelling Practice and Theory
Abstract: Fog computing is an emerging service-oriented market in conjunction with Cloud computing to fulfill the resource demand of mobile users as well as IoT users for real-time applications. Auctioning in Fog computing is highly challenging due to mobility, dynamic pricing, real-time demand in comparison to Cloud based auctioning models. Further, due to users’ mobility and limited Fog resources, existing reverse auction techniques developed for Cloud computing model cannot directly be applied for the resource procurement in Fog-Integrated Cloud Architecture (FICA). Therefore, a reverse auction-based model which includes customer, auctioneer, Fog provider, Cloud provider, and Fog & Cloud provider together as auction participants, is proposed in this work. The proposed model, for resource provisioning using a multi-attribute combinatorial reverse auction, is named as Fog-Integrated Cloud Auctioning Model (FICAM). FICAM pricing scheme includes three types of resources depending on their requirement i.e., local Fog, remote Fog, and Cloud. A truthful, robust, and fair algorithm for resource allocation is proposed considering response time, data source mobility requirements, and Fog resource limitations. To encourage providers to bid truthfully, the Vickrey model is extended. FICAM also introduces a new algorithm for resource procurement in which instead of giving all resources of the bundle, only the required resources at a time are given to the customer with the bundle discount. The discount is based on a certain threshold in the ratio of the availed amount of resources to the offered amount of resources. Rigorous experimentation exhibits that the proposed model offers a low resource procurement cost in polynomial time as compared to other state of the art algorithms. © 2021
Citation: Simulation Modelling Practice and Theory, 109
Issue Date: 2021
Publisher: Elsevier B.V.
Keywords: Fog computing
Fog service provider
Internet of Things (IoT)
Resource procurement
Reverse auction
ISSN: 1569190X
Author Scopus IDs: 57210134980
Author Affiliations: Aggarwal, A., Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Kakaryal, Katra, Jammu and Kashmir, 182320, India
Kumar, N., Department of Computer Science & Engineering, Indian Institute of Technology-Roorkee (IIT-R)247667, India
Vidyarthi, D.P., School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
Buyya, R., Cloud Computing and Distributed Systems (CloudS) Lab, School of Computing and Information Systems, The University of Melbourne3010, Australia
Funding Details: We acknowledge and thank Dr. Gaurav Baranwal for his kind support in this work.
Corresponding Author: Kumar, N.; Department of Computer Science & Engineering, India; email:
Appears in Collections:Journal Publications [CS]

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