Future Generation Computer Systems

Future Generation Computer Systems

SPES: A Stochastic Predictive Energy-Aware Scheduling Approach for Efficient Multi-Region Cloud Computing

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...

A Hybrid Framework for Joint Optimization of Resource Allocation and Load Balancing in Cloud Systems

Experiments show that the proposed Hybrid Framework for Joint Optimization of Resource Allocation and Load Balancing that spans two layers in heterogeneous cloud computing systems obtains 25-30% energy savings compared with ordinary methods, significantly reduces p95 latency and also achieves a relatively better Qualit...

Hybrid Constraint-Aware Metaheuristic for Energy-Efficient Task Scheduling and Resource Allocation in Cloud Computing with Colored Petri Nets

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.

Journal of Systems Architecture

A cyclic feedback scheduling optimization strategy is proposed and a reasonable termination condition for the cyclic strategy based on theoretical derivation is designed and Experimental results show that the proposed method can effectively shorten task scheduling time.

Efficient Algorithm for Multi-Objective Dynamic Resource Allocation in Cloud Computing

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.