A novel deep reinforcement learning scheme for task scheduling in cloud computing

K Siddesha, GV Jayaramaiah, C Singh - Cluster computing, 2022 - Springer
Recently, the demand of cloud computing systems has increased drastically due to their
significant use in various real-time online and offline applications. Moreover, it is widely …

A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning

N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu… - 2017 IEEE 37th …, 2017 - ieeexplore.ieee.org
Automatic decision-making approaches, such as reinforcement learning (RL), have been
applied to (partially) solve the resource allocation problem adaptively in the cloud computing …

Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model

X Chen, J Lin, Y Ma, B Lin, H Wang… - Science China …, 2019 - search.proquest.com
Dear editor, Self-adaptation is a promising approach to allocate resources for cloud-based
software services [1, 2]. Traditional self-adaptive resource-allocation methods are rule …

Resource allocation with efficient load balancing in cloud environment

F Zegrari, A Idrissi, H Rehioui - … of the International Conference on Big …, 2016 - dl.acm.org
Cloud computing is among the most active research fields. It provides users services and
applications in distributed mode. It is a concept of deportation of applications and data on a …

Knowledge-based adaptable scheduler for SaaS providers in cloud computing

F Motavaselalhagh, F Safi Esfahani… - Human-centric Computing …, 2015 - Springer
Abstract Software as a Service (SaaS) in Cloud Computing offers reliable access to software
applications for end users over the Internet without direct investment in infrastructure and …

Cost-aware job scheduling for cloud instances using deep reinforcement learning

F Cheng, Y Huang, B Tanpure, P Sawalani, L Cheng… - Cluster …, 2022 - Springer
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …

[PDF][PDF] Prediction-based dynamic resource scheduling for virtualized cloud systems

Q Huang, K Shuang, P Xu, J Li, X Liu, S Su - Journal of Networks, 2014 - researchgate.net
Virtualization and cloud computing technologies now make it possible to consolidate
multiple online services, which are packed in virtual machines (VMs), into a smaller number …

Cloud resource allocation schemes: review, taxonomy, and opportunities

A Yousafzai, A Gani, RM Noor, M Sookhak… - … and information systems, 2017 - Springer
Cloud computing has emerged as a popular computing model to process data and execute
computationally intensive applications in a pay-as-you-go manner. Due to the ever …

A DRL-driven intelligent optimization strategy for resource allocation in cloud-edge-end cooperation environments

C Fang, T Zhang, J Huang, H Xu, Z Hu, Y Yang… - Symmetry, 2022 - mdpi.com
Complex dynamic services and heterogeneous network environments make the
asymmetrical control a curial issue to handle on the Internet. With the advent of the Internet …

A multi-objective trade-off framework for cloud resource scheduling based on the deep Q-network algorithm

Z Peng, J Lin, D Cui, Q Li, J He - Cluster Computing, 2020 - Springer
Cloud computing, now a mature computing service, provides an efficient and economical
solution for processing big data. As such, it attracts a lot of attention in academia and plays …