Outlier detection: Methods, models, and classification

A Boukerche, L Zheng, O Alfandi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing

A Kobusińska, C Leung, CH Hsu… - Future Generation …, 2018 - Elsevier
Abstract Although Big Data, IoT and cloud computing are three distinct approaches that have
evolved independently, they are becoming more and more interconnected over time. The …

Resource allocation mechanisms in cloud computing: a systematic literature review

MV Fard, A Sahafi, AM Rahmani, PS Mashhadi - IET Software, 2020 - Wiley Online Library
Cloud computing offers a vast number of processing opportunities and heterogeneous
resources and meets the requirements of numerous applications at various levels. Thus, the …

Security modeling and efficient computation offloading for service workflow in mobile edge computing

B Huang, Z Li, P Tang, S Wang, J Zhao, H Hu… - Future Generation …, 2019 - Elsevier
It is a big challenge for resource-limited mobile devices (MDs) to execute various complex
and energy-consumed mobile applications. Fortunately, as a novel computing paradigm …

A high‐accurate content popularity prediction computational modeling for mobile edge computing using matrix completion technology

J Tan, W Liu, T Wang, M Zhao, A Liu… - Transactions on …, 2021 - Wiley Online Library
Mobile edge computing (MEC) is envisioned as a promising platform for supporting
emerging computation‐intensive applications on capacity and resource constrained mobile …

Key Challenges of Cloud Computing Resource Allocation in Small and Medium Enterprises

A Mohammad, Y Abbas - Digital, 2024 - mdpi.com
Although cloud computing offers many benefits, such as flexibility, scalability, and
profitability, some small and medium enterprises (SMEs) are still unable to fully utilize cloud …

Multi-layered coding-based study on optimization algorithms for automobile production logistics scheduling

G Yue, G Tailai, W Dan - Technological Forecasting and Social Change, 2021 - Elsevier
With the acceleration of economic globalization, competition among manufacturing
industries has become increasingly fierce. Automobile manufacturing has always been a …

Energy-efficient workflow scheduling using container-based virtualization in software-defined data centers

R Ranjan, IS Thakur, GS Aujla, N Kumar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Workflow scheduling is one of the most difficult tasks due to the variation in the traffic flows
generated from diverse cloud applications. Hence, in this article, a container-based …

An energy-aware resource deployment algorithm for cloud data centers based on dynamic hybrid machine learning

B Liang, D Wu, P Wu, Y Su - Knowledge-Based Systems, 2021 - Elsevier
To meet the ever-increasing requirements of cloud users, cloud service providers have
further increased the deployment of cloud data centers. Cloud users can freely choose the …

An effective scheduling strategy based on hypergraph partition in geographically distributed datacenters

C Li, Y Zhang, Z Hao, Y Luo - Computer Networks, 2020 - Elsevier
As the complexity of workflow applications increase, the scheduling and execution of
workflow incur more waste of resources. In order to achieve load balancing and reduce the …