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Outlier detection: Methods, models, and classification
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 …
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
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 …
evolved independently, they are becoming more and more interconnected over time. The …
Resource allocation mechanisms in cloud computing: a systematic literature review
Cloud computing offers a vast number of processing opportunities and heterogeneous
resources and meets the requirements of numerous applications at various levels. Thus, the …
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
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 …
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
Mobile edge computing (MEC) is envisioned as a promising platform for supporting
emerging computation‐intensive applications on capacity and resource constrained mobile …
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 …
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 …
industries has become increasingly fierce. Automobile manufacturing has always been a …
Energy-efficient workflow scheduling using container-based virtualization in software-defined data centers
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 …
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 …
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 …
workflow incur more waste of resources. In order to achieve load balancing and reduce the …