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 …

Deep configuration performance learning: A systematic survey and taxonomy

J Gong, T Chen - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …

ATOM: Model-driven autoscaling for microservices

AU Gias, G Casale, M Woodside - 2019 IEEE 39th International …, 2019 - ieeexplore.ieee.org
Microservices based architectures are increasingly widespread in the cloud software
industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique …

How to evaluate solutions in Pareto-based search-based software engineering: A critical review and methodological guidance

M Li, T Chen, X Yao - IEEE Transactions on Software …, 2020 - ieeexplore.ieee.org
With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Application deployment using containers with auto-scaling for microservices in cloud environment

SN Srirama, M Adhikari, S Paul - Journal of Network and Computer …, 2020 - Elsevier
A microservice-based application is composed of a set of small services that run within their
own processes and communicate with a lightweight mechanism. Processing the …

Predicting configuration performance in multiple environments with sequential meta-learning

J Gong, T Chen - Proceedings of the ACM on Software Engineering, 2024 - dl.acm.org
Learning and predicting the performance of given software configurations are of high
importance to many software engineering activities. While configurable software systems will …

Artificial intelligence assisted nanogenerator applications

S Xu, F Manshaii, X **ao, J Chen - Journal of Materials Chemistry A, 2025 - pubs.rsc.org
Piezoelectric and triboelectric nanogenerators are at the forefront of converting ambient
mechanical energy into electricity. These devices have experienced significant …

Dynamic resource scheduling in mobile edge cloud with cloud radio access network

X Wang, K Wang, S Wu, S Di, H **… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nowadays, by integrating the cloud radio access network (C-RAN) with the mobile edge
cloud computing (MEC) technology, mobile service provider (MSP) can efficiently handle 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 …

The weights can be harmful: Pareto search versus weighted search in multi-objective search-based software engineering

T Chen, M Li - ACM Transactions on Software Engineering and …, 2023 - dl.acm.org
In presence of multiple objectives to be optimized in Search-Based Software Engineering
(SBSE), Pareto search has been commonly adopted. It searches for a good approximation of …