Autonomic cloud computing based management and security solutions: State‐of‐the‐art, challenges, and opportunities
N Agrawal - Transactions on Emerging Telecommunications …, 2021 - Wiley Online Library
The advancements and rapid adoption of service oriented architecture, utility computing,
virtualization, etc., have emerged in a new computing paradigm called cloud computing, in …
virtualization, etc., have emerged in a new computing paradigm called cloud computing, in …
Cooperative evolution of support vector machine empowered knowledge-based radio resource management for 5G C-RAN
N Kumar, A Ahmad - Ad Hoc Networks, 2022 - Elsevier
Cloud-radio access network (C-RAN) is an innovative approach in 5th Generation
communication networks, where baseband processing units (BBUs) are dissociated from the …
communication networks, where baseband processing units (BBUs) are dissociated from the …
Role-based user allocation driven by criticality in edge computing
Edge computing is a promising solution to enabling highly accessible resources and latency-
sensitive services for nearby users. In public safety, it can provide critical support for urban …
sensitive services for nearby users. In public safety, it can provide critical support for urban …
Workload aware autonomic resource management scheme using grey wolf optimization in cloud environment
Autonomic resource management on cloud is a challenging task because of its huge
heterogeneous and distributed environment. There are several service providers in the …
heterogeneous and distributed environment. There are several service providers in the …
Multi-agent QoS-aware autonomic resource provisioning framework for elastic BPM in containerized multi-cloud environment
MAN Saif, SK Niranjan, BAH Murshed… - Journal of Ambient …, 2023 - Springer
Cloud computing enables businesses to improve their market competitiveness, enabling
instant and easy access to a pool of virtualized and distributed resources such as virtual …
instant and easy access to a pool of virtualized and distributed resources such as virtual …
An autonomic decision tree‐based and deadline‐constraint resource provisioning in cloud applications
A Mazidi, M Mahdavi… - … and Computation: Practice …, 2021 - Wiley Online Library
Cloud computing provides a set of resources and services for customers on the Internet on
demand and based on a pay as you go model. Cloud providers are looking to decrease …
demand and based on a pay as you go model. Cloud providers are looking to decrease …
Cloning-based virtual machine pre-provisioning for resource-constrained edge cloud server
J Sung, S Han, J Kim - Cluster Computing, 2024 - Springer
As the application complexity increases, it is desired to offload the computationally intensive
tasks from the end devices to the cloud. In the cloud, virtual machines (VM) conduct the …
tasks from the end devices to the cloud. In the cloud, virtual machines (VM) conduct the …
An autonomic resource management system for energy efficient and quality of service aware resource scheduling in cloud environment
Efficient utilization of resources is a challenging task in cloud computing due to
heterogeneity of resources and fluctuating resource demands of multifarious applications …
heterogeneity of resources and fluctuating resource demands of multifarious applications …
Service cost-based resource optimization and load balancing for edge and cloud environment
C Li, J Tang, Y Luo - Knowledge and Information Systems, 2020 - Springer
The application of edge clouds is becoming more and more widespread. The resource
optimization is one of the important research contents of edge cloud. Generally, the edge …
optimization is one of the important research contents of edge cloud. Generally, the edge …
Improved euclidean distance in the k nearest neighbors method
C Boucetta, L Hussenet, M Herbin - International Conference on …, 2023 - Springer
The KNN algorithm is one of the most famous algorithms in data mining. It consists in
calculating the distance between a query and all the data in the reference set. In this paper …
calculating the distance between a query and all the data in the reference set. In this paper …