Cold start latency in serverless computing: A systematic review, taxonomy, and future directions

M Golec, GK Walia, M Kumar, F Cuadrado… - ACM Computing …, 2024 - dl.acm.org
Recently, academics and the corporate sector have paid attention to serverless computing,
which enables dynamic scalability and an economic model. In serverless computing, users …

Edge AI: A taxonomy, systematic review and future directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu, GK Walia… - Cluster …, 2025 - Springer
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

Captain: A testbed for co-simulation of scalable serverless computing environments for aiot enabled predictive maintenance in industry 4.0

M Golec, H Wu, R Ozturac, AK Parlikad… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The massive amounts of data generated by the Industrial Internet of Things (IIoT) require
considerable processing power, which increases carbon emissions and energy usage, and …

Reducing cold start delay in serverless computing using lightweight virtual machines

A Karamzadeh, A Shameli-Sendi - Journal of Network and Computer …, 2024 - Elsevier
In recent years, serverless computing has gained considerable attention in academic,
professional, and business circles. Unique features such as code development flexibility and …

Comparison of Reinforcement Learning Algorithms for Edge Computing Applications Deployed by Serverless Technologies.

M Femminella, G Reali - Algorithms, 2024 - search.ebscohost.com
Edge computing is one of the technological areas currently considered among the most
promising for the implementation of many types of applications. In particular, IoT-type …

CloudAIBus: a testbed for AI based cloud computing environments

S Velu, SS Gill, SS Murugesan, H Wu, X Li - Cluster Computing, 2024 - Springer
Smart resource allocation is essential for optimising cloud computing efficiency and
utilisation, but it is also very challenging as traditional approaches often overprovision CPU …