Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Green Communication for Next‐Generation Wireless Systems: Optimization Strategies, Challenges, Solutions, and Future Aspects
Wireless sensor networks (WSNs) have emerged as a backbone technology for the wireless
communication era. The demand for WSN is rapidly increasing due to their major role in …
communication era. The demand for WSN is rapidly increasing due to their major role in …
[HTML][HTML] Sustainable energy data centres: A holistic conceptual framework for design and operations
Data Centres serve as the foundation for digital technologies in the energy sector, enabling
advanced analytics, optimization, and automation. However, their rapid growth can exert a …
advanced analytics, optimization, and automation. However, their rapid growth can exert a …
Chaotic-nondominated-sorting owl search algorithm for energy-aware multi-workflow scheduling in hybrid clouds
Since a single private cloud cannot satisfy the increasing computational requirements for
executing multiple workflows simultaneously, hybrid clouds are often adopted to perform …
executing multiple workflows simultaneously, hybrid clouds are often adopted to perform …
A survey of low-energy parallel scheduling algorithms
High energy consumption is one of the biggest obstacles to the rapid development of
computing systems, and reducing energy consumption is quite urgent and necessary for …
computing systems, and reducing energy consumption is quite urgent and necessary for …
Energy-efficient hybrid framework for green cloud computing
The increasing growth in the demand for cloud computing services, due to the increasing
digital transformation and the high elasticity of the cloud, requires more efforts to improve the …
digital transformation and the high elasticity of the cloud, requires more efforts to improve the …
Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …
requirements of IoT applications, extending the capabilities of cloud computing to the …
Efficient autonomic and elastic resource management techniques in cloud environment: taxonomy and analysis
Resource management (RM) is a challenging task in a cloud computing environment where
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
a large number of virtualized, heterogeneous, and distributed resources are hosted in the …
A novel energy proficient computing framework for green computing using sustainable energy sources
Numerous green computing applications employ sustainable energy sources to abate
redundant energy consumption. Renewable energy sources are vital to improving energy …
redundant energy consumption. Renewable energy sources are vital to improving energy …
A novel approach based on average swarm intelligence to improve the whale optimization algorithm
In this study, a new technique has been introduced by changing the convergence of the
whale optimization algorithm, which has the principle of approaching its prey by following …
whale optimization algorithm, which has the principle of approaching its prey by following …