A cost and energy efficient task scheduling technique to offload microservices based applications in mobile cloud computing
The number of smartphone users and mobile devices has increased significantly. The
Mobile Cloud Applications based on cloud computing have also been increased. The …
Mobile Cloud Applications based on cloud computing have also been increased. The …
Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing
A Lakhan, MA Mohammed… - … Journal of Web …, 2022 - inderscienceonline.com
These days, more and more web are converting into mobile devices such as the internet of
things (IoT). These applications are distributed in nature and installed on mobile and servers …
things (IoT). These applications are distributed in nature and installed on mobile and servers …
An efficient dynamic decision-based task optimization and scheduling approach for microservice-based cost management in mobile cloud computing applications
The use of smartphones and mobile devices has increased significantly, as have Mobile
Cloud Applications based on cloud computing. These applications are used in various …
Cloud Applications based on cloud computing. These applications are used in various …
Deep Learning Algorithms: Clustering and Classifications for Multimedia Data
Processing and analyzing multimedia data, including photos, audio, video, and text, have
been entirely changed by deep learning. This chapter gives a general introduction to deep …
been entirely changed by deep learning. This chapter gives a general introduction to deep …
Deep-learning enabled early detection of COVID-19 infection in IoMT fog-cloud healthcare in LPWAN
M ur Rehman, R Akbar, S Mujeeb… - Low-Power Wide Area … - taylorfrancis.com
The COVID-19 epidemic has highlighted the requirement for accurate and reliable disease
detection methods. In this chapter, we present an early COVID-19 detection method enabled …
detection methods. In this chapter, we present an early COVID-19 detection method enabled …