Data Science Techniques For Beginner Network Administrators
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Data Science Techniques for Beginner Network Administrators
There is an old saying: "It is easier to wake someone who is sound asleep than to wake who is pretending to sleep." As network administrators, competing with Al systems in the future is not an impossibility. Analyzing events with simple examples like comparing bandwidth, throughput, jitter, and optimizing server resource usage can be exhausting when applied to dozens or hundreds of devices. For instance, how do we classify when the bandwidth is low in one place but normal elsewhere based on several sample events? Or how do we classify which servers need maintenance and which do not, based on existing data parameters, referring to unsupervised and supervised learning? Classification models can indeed simplify and optimize our work, saving time compared to performing network maintenance one by one, using only Google Colab. In this context, we have tried using a small of unsupervised and supervised learning to process data from simple network case studies. These data are analyzed for classification, regression, and prediction using Python scripts implemented in Google Colab. This book serves as a starting point to be developed into a continuous series, extending to supervised learning, deep learning, and reinforcement learning, which are still in the testing and writing phase. We hope this new approach benefits network administrators wherever you are.
Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing
Author: Valentina E. Balas
language: en
Publisher: Springer Nature
Release Date: 2021-04-05
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25–27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.
Web Services: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2018-12-07
Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.