Uncertainty-aware decisions in cloud computing: Foundations and future directions
The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been developing, considering …
the cloud infrastructure. Many intelligent systems have been developing, considering …
Analysis of load balancing detection methods using hidden markov model for secured cloud computing environment
M Arvindhan, D Rajesh Kumar - Applications of Computational Methods in …, 2022 - Springer
Cloud computing is rapidly growing nowadays and stands a creative computing paradigm
which provides Internet facilities to meet users' storage needs. Various interconnected …
which provides Internet facilities to meet users' storage needs. Various interconnected …
Performance analysis of network traffic predictors in the cloud
Predicting the inherent traffic behaviour of a network is an essential task, which can be used
for various purposes, such as monitoring and managing the network's infrastructure …
for various purposes, such as monitoring and managing the network's infrastructure …
Expedite feature extraction for enhanced cloud anomaly detection
Cloud computing is the latest trend in business for providing software, platforms and
services over the Internet. However, a widespread adoption of this paradigm has been …
services over the Internet. However, a widespread adoption of this paradigm has been …
DAC‐Hmm: detecting anomaly in cloud systems with hidden Markov models
B Hong, F Peng, B Deng, Y Hu… - … : Practice and Experience, 2015 - Wiley Online Library
Cloud computing has rapidly been adopted in recent years by freeing users from the low‐
level task of setting up the hardware and managing the system software. Anomaly detection …
level task of setting up the hardware and managing the system software. Anomaly detection …
Online traffic prediction in the cloud: a dynamic window approach
Traffic prediction is a fundamental tool that captures the inherent behavior of a network and
can be used for monitoring and managing network traffic. Online traffic prediction is usually …
can be used for monitoring and managing network traffic. Online traffic prediction is usually …
Adaptive data center activation with user request prediction
The problem of energy saving in data centers has recently attracted significant interest within
the research community, and the adaptive data center activation model has emerged as a …
the research community, and the adaptive data center activation model has emerged as a …
Online traffic prediction in the cloud
Network traffic prediction is a fundamental tool to harness several management tasks, such
as monitoring and managing network traffic. Online traffic prediction is usually performed …
as monitoring and managing network traffic. Online traffic prediction is usually performed …
Monitoring openflow virtual networks via coordinated switch-based traffic mirroring
As network virtualization becomes ubiquitous, legacy hardware-based traffic monitoring
systems are no longer viable for dynamic traffic inspection at arbitrary locations in virtual …
systems are no longer viable for dynamic traffic inspection at arbitrary locations in virtual …
Requests prediction in cloud with a cyclic window learning algorithm
Automatic resource scaling is one advantage of cloud systems. Cloud systems are able to
scale the number of physical machines depending on user requests. Therefore, accurate …
scale the number of physical machines depending on user requests. Therefore, accurate …