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 …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
[HTML][HTML] A review on job scheduling technique in cloud computing and priority rule based intelligent framework
In recent years, the concept of cloud computing has been gaining traction to provide
dynamically increasing access to shared computing resources (software and hardware) via …
dynamically increasing access to shared computing resources (software and hardware) via …
Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
Cloud computing is undeniably becoming the main computing and storage platform for
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
today's major workloads. From Internet of things and Industry 4.0 workloads to big data …
Trust-augmented deep reinforcement learning for federated learning client selection
In the context of distributed machine learning, the concept of federated learning (FL) has
emerged as a solution to the privacy concerns that users have about sharing their own data …
emerged as a solution to the privacy concerns that users have about sharing their own data …
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
Big data task scheduling in cloud computing environments has gained considerable
attention in the past few years, due to the exponential growth in the number of businesses …
attention in the past few years, due to the exponential growth in the number of businesses …
Cluster resource scheduling in cloud computing: literature review and research challenges
Scheduling plays a pivotal role in cloud computing systems. Designing an efficient
scheduler is a challenging task. The challenge comes from several aspects, including the …
scheduler is a challenging task. The challenge comes from several aspects, including the …
Swarm intelligence and its applications towards various computing: a systematic review
Swarm intelligence is the discipline deals with artificial and natural systems that consists
various individuals coordinated using self-organization and decentralized control. It consists …
various individuals coordinated using self-organization and decentralized control. It consists …
A comprehensive survey on cloud computing scheduling techniques
The tremendous increase in daily internet users leads to the explosion of on-demand
requests over the cloud. It causes a burden in the cloud environment (diverse and …
requests over the cloud. It causes a burden in the cloud environment (diverse and …
Machine learning approaches for load balancing in cloud computing services
As the demand for cloud services increases, optimization of resources becomes essential.
Static algorithms are no longer sufficient to solve cloud-related challenges such as …
Static algorithms are no longer sufficient to solve cloud-related challenges such as …