On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments
- 21 November 2022
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Parallel and Distributed Systems
- Vol. 34 (2), 489-500
- https://doi.org/10.1109/tpds.2022.3223796
Abstract
Fog Computing usefully extends Cloud to the edge of the network for the sake of meeting users' expanding demand for low latency. However, due to its scattered distribution and open architecture, fog nodes are highly vulnerable to security threats, resulting in an inevitable sharp conflict between quick response time and high data security. This conflict motivates the need for effective data placement among fog nodes towards a trade-off between security and time. Existing studies merely offer independent solutions by considering either security or response time. By contrast, we establish a dynamic multi-objective optimization model in this paper by optimizing security and response time simultaneously. With this model, we propose an efficient evolutionary algorithm, referred to as Dynamic Interactive Security-and-Time cognizant algorithm ( DIST ), to obtain optimal data placement strategies under Fog environments. To improve efficiency, DIST allows users to gradually incorporate their preference information into the search process so as to find their most preferred solutions without exploring the whole search space. We demonstrate the superiority of DIST by rigorous comparison with the most state-of-art data placement strategy and other well-applied strategies. Experimental results manifest that DIST outperforms other strategies in obtaining solutions with higher data security and shorter response time. Furthermore, DIST is capable of efficiently and continuously tracking the Pareto optimal solution under dynamically changing Fog environments while other existing strategies cannot.Keywords
Funding Information
- National Natural Science Foundation of China (U22A2098, 62172457, 62272367)
- Key Research and Development Program of Shaanxi Province (2022ZDLGY01-06, 2022ZDLGY01-01)
- Agency for Science, Technology and Research
- CISCO Systems (USA) Pte. Ltd
- National University of Singapore (I21001E0002)
This publication has 22 references indexed in Scilit:
- Assured Data Deletion With Fine-Grained Access Control for Fog-Based Industrial ApplicationsIEEE Transactions on Industrial Informatics, 2018
- Privacy-Preserving Data Aggregation Protocol for Fog Computing-Assisted Vehicle-to-Infrastructure ScenarioSecurity and Communication Networks, 2018
- Lightweight Fine-Grained Search Over Encrypted Data in Fog ComputingIEEE Transactions on Services Computing, 2018
- A variant of password authenticated key exchange protocolFuture Generation Computer Systems, 2018
- Verifiable searchable encryption with aggregate keys for data sharing systemFuture Generation Computer Systems, 2018
- iFogStor: An IoT Data Placement Strategy for Fog InfrastructurePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- DROPS: Division and Replication of Data in Cloud for Optimal Performance and SecurityIEEE Transactions on Cloud Computing, 2015
- A Round-based Data Replication StrategyIEEE Transactions on Parallel and Distributed Systems, 2015
- Data Replication in Data Intensive Scientific Applications with Performance GuaranteeIEEE Transactions on Parallel and Distributed Systems, 2010
- Design and Implementation of a Random Data-Placement System with High Scalability, Reliability and PerformanceLecture Notes in Computer Science, 2006