TL;DR
ServlessSimPro is a comprehensive simulation platform that models distributed serverless environments using a three-layer architecture in which physical machines (PMs) host containers directly, however, this structure does not reflect the commonly adopted real-world deployment model.
The DQN-Scheduler is introduced, a novel reinforcement learning-based agent designed to optimize microservice scheduling in cloud environments and is believed to be the first framework to address all these objectives simultaneously.
The lack of determinism restricts the integration of safety-critical applications into Edge–Fog–Cloud (EFC) architectures. Existing EFC schedulers are typically designed for dynamic, best-effort operation based on unmanaged resource allocation and elastic virtualization. This paradigm introduces unbounded queueing, res...
In cloud data centers, resource overcommitment is a key strategy for improving energy efficiency, yet managing it to prevent Service Level Agreement (SLA) violations remains a persistent challenge. Virtual machine replacement (VMrP)—the periodic redistribution of running VMs across servers—is central to this ongoing ma...
This study addresses the challenge of efficient resource management in data centers through pod and virtual machine (VM) migration. The objective is to prevent resource shortages while improving power efficiency in cloud environments. To this end, we formulate a multi-objective mixed-integer linear programming (MILP) m...
An SLA-aware Dynamic Enhanced Resource-Aware Load Balancing Algorithm (SLADE- RALBA) that minimizes load imbalance by considering the computational capacities of virtual machines and ensures Service Level Agreement (SLA) compliance through a three-tier priority-based workflow is proposed.
Experimental results show that EEVMP consistently outperforms existing placement strategies such as PABFD, IQRMC, PEBFD, ESVMP, and HVMAP in terms of energy efficiency and overall performance.
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