A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision

M Pundir, JK Sandhu - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …

A survey on scheduling strategies for workflows in cloud environment and emerging trends

M Adhikari, T Amgoth, SN Srirama - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides

V Singh, S Shrivastava, S Kumar Singh… - Briefings in …, 2022 - academic.oup.com
Due to the rapid emergence of multi-drug resistant (MDR) bacteria, existing antibiotics are
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …

Security-aware dynamic scheduling for real-time optimization in cloud-based industrial applications

S Meng, W Huang, X Yin, MR Khosravi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Nowadays, large number of cloud-based techniques have been used in industrial control
systems (ICS), which also brings many security threats. The emergence of security-aware …

An energy efficient algorithm for workflow scheduling in IAAS cloud

V Singh, I Gupta, PK Jana - Journal of Grid Computing, 2020 - Springer
Energy efficient workflow scheduling is the demand of the present time's computing
platforms such as an infrastructure-as-a-service (IaaS) cloud. An appreciable amount of …

Accelerating the discovery of antifungal peptides using deep temporal convolutional networks

V Singh, S Shrivastava, S Kumar Singh… - Briefings in …, 2022 - academic.oup.com
The application of machine intelligence in biological sciences has led to the development of
several automated tools, thus enabling rapid drug discovery. Adding to this development is …

MCDS: AI augmented workflow scheduling in mobile edge cloud computing systems

S Tuli, G Casale, NR Jennings - IEEE Transactions on Parallel …, 2021 - ieeexplore.ieee.org
Workflow scheduling is a long-studied problem in parallel and distributed computing (PDC),
aiming to efficiently utilize compute resources to meet user's service requirements. Recently …

A hybrid metaheuristic for multi-objective scientific workflow scheduling in a cloud environment

N Anwar, H Deng - Applied sciences, 2018 - mdpi.com
Cloud computing has emerged as a high-performance computing environment with a large
pool of abstracted, virtualized, flexible, and on-demand resources and services. Scheduling …