Cloud Task Scheduling

Cloud task scheduling is the process of assigning computational tasks to cloud resources-like virtual machines or containers-to optimize performance and meet user-defined goals such as minimizing execution time (makespan) reducing costs and maximizing resource utilization. Given the dynamic heterogeneous and large-scale nature of cloud environments task scheduling is a complex and NP-hard problem.This field has evolved from classical heuristics (e.g. FCFS Min-Min) to advanced techniques such as metaheuristics (e.g. Genetic Algorithms PSO ACO) and AI-driven approaches like reinforcement learning and deep learning. Real-world frameworks like Hadoop YARN Kubernetes and CloudSim implement these strategies to manage workloads effectively.Modern cloud scheduling emphasizes multi-objective optimization balancing trade-offs between speed cost energy consumption and fairness. Emerging trends include edge computing serverless scheduling and green computing positioning task scheduling as a foundational challenge for the future of cloud services.