TL;DR
The experimental results demonstrate that DBS consistently outperforms state-of-the-art algorithms in terms of multiple performance metrics and confirm that the proposed scheduler effectively enhances deadline compliance, workload balance, scalability, and overall cloud system performance under heterogeneous and high-load conditions.
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.
A dynamic resource allocation and task scheduling approach based on end-edge-cloud cooperation is established in order to enhance task completion, resource utilization, satisfaction of service level agreements (SLA) and reduce delay and energy consumption.
The design and development of DynamiCloud is presented, a scalable and computationally efficient multi-objective dynamic resource allocation model for cloud computing that can simultaneously optimize multiple conflicting objectives such as throughput, Service Level Agreement compliance, and power efficiency.
Cloud computing has transformed the delivery of modern applications and services by providing scalable, flexible, and cost-effective access to computing resources. One of the most critical challenges in cloud environments is the efficient distribution of dynamic workloads across heterogeneous resources, commonly addres...
To reduce the data center’s (DC) operational costs and provide grid services, large computational jobs need to be scheduled or transferred to the intended DCs with lower energy prices. Usually, the transfer or scheduling of large computation jobs are managed by job scheduling software, such as a portable batch system....
Experimental results show that the proposed Hybrid method outperforms GA and GWO, achieving the lowest mean fitness, and ablation, convergence, sensitivity, Pareto, ranking, energy, and scalability analyses further verify its robustness.
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