Auto-scaling web applications in clouds: A taxonomy and survey

C Qu, RN Calheiros, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …

A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems

T Chen, R Bahsoon, X Yao - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

[HTML][HTML] A dynamic MLP-based DDoS attack detection method using feature selection and feedback

M Wang, Y Lu, J Qin - Computers & Security, 2020 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is a stubborn network security problem.
Various machine learning-based methods have been proposed to detect such attacks …

Monetization of IoT data using smart contracts

A Suliman, Z Husain, M Abououf, M Alblooshi… - IET …, 2019 - Wiley Online Library
In the era of the Internet of Things (IoT), smart connected devices have the ability to generate
data that could be of interest to the public. This paves the way for an emerging market for …

Multi‐objective‐based feature selection for DDoS attack detection in IoT networks

M Roopak, GY Tian, J Chambers - IET Networks, 2020 - Wiley Online Library
In this study, the authors propose a multi‐objective optimisation‐based feature selection
(FS) method for the detection of distributed denial of service (DDoS) attacks in an internet of …

Decentralized access control for IoT data using blockchain and trusted oracles

H Al Breiki, L Al Qassem, K Salah… - … on Industrial Internet …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is a network of connected electromechanical devices that have
limited computational, networking, and storage capabilities. IoT is now widely used in …

[HTML][HTML] Enhancing environmental and energy monitoring of residential buildings through IoT

V Tanasiev, GC Pătru, D Rosner, G Sava… - Automation in …, 2021 - Elsevier
Solutions for monitoring and control of the digital technologies in the residential and tertiary
sector are lagging in terms of data exchange and easy deployment. The question arises …

Stable and efficient resource management using deep neural network on cloud computing

B Jeong, S Baek, S Park, J Jeon, YS Jeong - Neurocomputing, 2023 - Elsevier
Resource management autoscaling in a cloud computing service guarantees the high
availability and extensibility of applications and services. Horizontal pod autoscaling (HPA) …

Modeling and analyzing cascading failures for Internet of Things

X Fu, Y Yang - Information Sciences, 2021 - Elsevier
Network survivability is one of the key challenges that the Internet of Things (IoTs) has to
deal with, and cascading failures are one of the main bottlenecks affecting the network …

DDoS attacks in cloud computing: Collateral damage to non-targets

G Somani, MS Gaur, D Sanghi, M Conti - Computer Networks, 2016 - Elsevier
The effects of distributed denial-of-service (DDoS) attacks on cloud computing are not very
similar to those in traditional “fixed” on-premise infrastructure. In the context of DDoS attacks …