An Optimized Framework to Adopt Computer Laboratory Administrations for Operating System and Application Installations
arXiv:2105.02147 · doi:10.24017/science.2017.3.8
Abstract
Nowadays, in most of the fields, task automation is area of interest and research due to that manual execution of a task is error prone, time consuming, involving more human resources and focus concerning. In the area of Computer laboratory administration, the old fashioned administration cannot run with todays growth, where the Operating System (OS) and required applications are installed on all the machines one by one. Therefore, a framework for automating Lab administration in regards of Operating Systems and Application installations will be proposed in this research. Affordability, simplicity, usability are taken into major consideration. All the parts of the framework are implemented and illustrated in detail which promotes a great enhancement in the area of Computer Lab Administration.
Cited by in corpus (9)
- A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
- Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
- Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star
- A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
- An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images
- Harmony Search: Current Studies and Uses on Healthcare Systems
- Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
- Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
- Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning