Machine learning (ML)-centric resource management in cloud computing: A review and future directions

T Khan, W Tian, G Zhou, S Ilager, M Gong… - Journal of Network and …, 2022 - Elsevier
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …

Deeprest: deep resource estimation for interactive microservices

KH Chow, U Deshpande, S Seshadri… - Proceedings of the …, 2022 - dl.acm.org
Interactive microservices expose API endpoints to be invoked by users. For such
applications, precisely estimating the resources required to serve specific API traffic is …

A resource-efficient predictive resource provisioning system in cloud systems

H Shen, L Chen - IEEE Transactions on Parallel and …, 2022 - ieeexplore.ieee.org
In cloud systems, demand-prediction based resource provisioning schemes help assure the
SLOs (service level objectives) of cloud tenants. We notice that if a provisioning scheme …

A design of resource allocation structure for multi-tenant services in Kubernetes cluster

NT Nguyen, Y Kim - 2022 27th Asia Pacific Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, for multi-tenant cloud, there are plenty of Kubernetes-based open-source
projects that do extraordinary in management, isolation multitenancy. These systems allow …

Cauchy particle swarm optimization (cpso) based migrations of tasks in a virtual machine

R Vadivel, T Sudalaimuthu - Wireless Personal Communications, 2022 - Springer
Cloud computing technology helps to resolve the problem in storage management by
providing virtual resources to the end users. But, the overloading of virtual machines results …

Storage Capacity Prediction using Population Analytics

U Deshpande, T Pham - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Capacity forecasting is a common feature in popular storage systems. The storage system
vendors use prediction methods based on the historical usage for forecasting future …

Time Effective Cloud Resource Scheduling Method for Data-Intensive Smart Systems

J Duan, Y Li, L Duan, A Sharma - International Journal of Information …, 2022 - igi-global.com
The cloud computing platforms are being deployed nowadays for resource scheduling of
real time data intensive applications. Cloud computing still deals with the challenge of time …

Computational Offloading for Non-Time-Critical Applications

R Patsch - 2022 IEEE 42nd International Conference on …, 2022 - ieeexplore.ieee.org
The increasing demand for computational resources keeps outpacing available User
Equipment (UE). To overcome intrinsic hardware limitations of UEs, computational …

Resource Profiling and Performance Modeling for Distributed Scientific Computing Environments

MA Hossain, S Hwang, JS Kim - Applied Sciences, 2022 - mdpi.com
Scientific applications often require substantial amount of computing resources for running
challenging jobs potentially consisting of many tasks from hundreds of thousands to even …

Task Migrations in a Cloud Computing Virtual Machine Using Cauchy Swarm Optimization Techniques

V Mahavaishnavi, R Saminathan… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
By offering virtual resources to end users, cloud computing model is significant to address
the difficulty of management of memory. To determine the cloud workloads and …