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Load balancing for cloud computing using optimized cluster based federated learning. [PDF]
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WG-Storm: a resource-aware scheduler for distributed stream processing engines. [PDF]
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Efficient energy consumption in hybrid cloud environment using adaptive backtracking virtual machine consolidation. [PDF]
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Self-Adaptation Resource Allocation for Continuous Offloading Tasks in Pervasive Computing.
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Dynamic multi objective task scheduling in cloud computing using reinforcement learning for energy and cost optimization. [PDF]
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Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]
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Quantum-Inspired Adaptive Meta-Heuristic-Machine Learning framework for resilient and energy-efficient task scheduling in multi-cloud ecosystems. [PDF]
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WS-SSA: workflow scheduling in cloud computing using salp swarm algorithm. [PDF]
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DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing. [PDF]
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