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[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …
Quasi oppositional dragonfly algorithm for load balancing in cloud computing environment
In cloud computing (CC), load balancing tasks remain a critical problem in distributing
resources from a data center. Ensure that every virtual machine (VM) has a balanced load to …
resources from a data center. Ensure that every virtual machine (VM) has a balanced load to …
[HTML][HTML] Heuristic initialization of PSO task scheduling algorithm in cloud computing
Task scheduling is one of the major issues in cloud computing environment. Efficient task
scheduling is substantial to attain cost-effective execution and improve resource utilization …
scheduling is substantial to attain cost-effective execution and improve resource utilization …
Load balancing in cloud computing environment using the Grey wolf optimization algorithm based on the reliability: performance evaluation
The introduction of cloud computing has brought about significant developments in
information technology. Users can benefit from the multitude of cloud technology services …
information technology. Users can benefit from the multitude of cloud technology services …
Energy efficient clustering with disease diagnosis model for IoT based sustainable healthcare systems
Sustainable energy efficient networking models are needed to satisfy the increasing
demands of the information and communication technologies (ICT) applications like …
demands of the information and communication technologies (ICT) applications like …
Optimized hierarchical tree deep convolutional neural network of a tree-based workload prediction scheme for enhancing power efficiency in cloud computing
Workload prediction is essential in cloud data centers (CDCs) for establishing scalability and
resource elasticity. However, the workload prediction accuracy in the cloud data center …
resource elasticity. However, the workload prediction accuracy in the cloud data center …
Region-aware dynamic job scheduling and resource efficiency for load balancing based on adaptive chaotic sparrow search optimization and coalitional game in …
Uneven distribution of workloads represents a significant challenge in cloud data centers,
negatively impacting the efficient utilization of resources. To address this problem and …
negatively impacting the efficient utilization of resources. To address this problem and …
Agricultural data sharing and sustainable development of ecosystem based on block chain
L Zhu, F Li - Journal of Cleaner Production, 2021 - Elsevier
The development of modern science and information technology has promoted social
progress and created better conditions for the realization of smart agriculture. The core of …
progress and created better conditions for the realization of smart agriculture. The core of …
MrLBA: multi-resource load balancing algorithm for cloud computing using ant colony optimization
Cloud computing is a new paradigm of computing. This paradigm delivers services over the
internet and eliminates requirements for local data storage. Instead of purchasing hardware …
internet and eliminates requirements for local data storage. Instead of purchasing hardware …