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A systematic review of security-aware task scheduling in cloud, fog, and edge computing
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DOI：10.1186/s13677-026-00936-z.png)
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Abstract
En 中文
The growing distribution and heterogeneity of cloud, fog, and edge systems increase the risk of placing sensitive workloads on untrusted or vulnerable resources, motivating security-aware task scheduling to protect data and ensure reliable operation. This survey systematically examines how security requirements are incorporated into task scheduling across these environments and consolidates existing approaches into a unified taxonomy. We analyze 84 peer-reviewed studies between 2014 and 2024 retrieved from IEEE Xplore, Scopus, the ACM Digital Library, and Springer Link, including only those that propose a scheduling method for cloud, fog, or edge computing with security explicitly integrated into the scheduling logic. We propose a three-layer taxonomy that spans environments and scheduling models; security considerations based on Confidentiality, Integrity, and Availability (CIA) and extended with attribute-guided assignment, risk assessment, and enforcement mechanisms; and optimization and evaluation categories. The review shows that confidentiality receives the most attention among security objectives, availability the least, security is typically enforced through fixed rule-based constraints while optimization continues to prioritize time and cost, and dynamic risk assessment or adaptive enforcement remains uncommon. Evaluations rely mainly on simulation rather than real deployments, limiting evidence on practical interactions between security and performance. By identifying cross-environment patterns and these gaps, the survey outlines open challenges that motivate more adaptive and empirically validated secure scheduling strategies for distributed computing systems.
Keywords:
Cloud computing
Fog
Edge
Task scheduling
Security
Resource allocation
Risk assessment
Security enforcement
Optimization objectives
Systematic review
Journal
J
IF:
4.3
Papers:
724
Citations:
2.2K