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 …
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
Recommendation systems are often challenged by the existence of cold-start items for which
no previous rating is available. The standard content-based or collaborative-filtering …
no previous rating is available. The standard content-based or collaborative-filtering …
Enhanced multi-verse optimizer for task scheduling in cloud computing environments
Cloud computing is a trending technology that allows users to use computing resources
remotely in a pay-per-use model. One of the main challenges in cloud computing …
remotely in a pay-per-use model. One of the main challenges in cloud computing …
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 …
Discovering the role of trade diversification, natural resources, and environmental policy stringency on ecological sustainability in the BRICST region
S Dai, X Du - Resources Policy, 2023 - Elsevier
Understanding the role of trade diversification, natural resources, and environmental
policies is crucial for achieving ecological sustainability. By unraveling the interactions …
policies is crucial for achieving ecological sustainability. By unraveling the interactions …
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 …
FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks
Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
low latency to the users' applications for the Internet of Things (IoT). Software-defined …
[HTML][HTML] Multi-objective task scheduling optimization in cloud computing based on fuzzy self-defense algorithm
X Guo - Alexandria Engineering Journal, 2021 - Elsevier
A cloud computing multi-objective task scheduling optimization based on fuzzy self-defense
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
algorithm is proposed. Select the shortest time, the degree of resource load balance and the …
A survey on explainable artificial intelligence for cybersecurity
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …
Trust-driven reinforcement selection strategy for federated learning on IoT devices
Federated learning is a distributed machine learning approach that enables a large number
of edge/end devices to perform on-device training for a single machine learning model …
of edge/end devices to perform on-device training for a single machine learning model …