Handling Priority Inversion In Time Constrained Distributed Databases
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Handling Priority Inversion In Time Constrained Distributed Databases
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Author : Shanker, Udai
language : en
Publisher: IGI Global
Release Date : 2020-02-14
Handling Priority Inversion In Time Constrained Distributed Databases written by Shanker, Udai and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Computers categories.
In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex, as practitioners strive to discover novel approaches to increase the capabilities of modern computer structures. A prevalent area of research in recent years is scalable transaction processing and its usage in large databases and cloud computing. Despite its popularity, there remains a need for significant research in the understanding of scalability and its performance within distributed databases. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects of database transaction processing frameworks and improving their performance using modern technologies and algorithms. Featuring coverage on a broad range of topics such as consistency mechanisms, real-time systems, and replica management, this book is ideally designed for IT professionals, computing specialists, developers, researchers, data engineers, executives, academics, and students seeking research on current trends and developments in distributed computing and databases.
Handling Priority Inversion In Time Constrained Distributed Databases
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Author : Udai Shankar
language : en
Publisher: Engineering Science Reference
Release Date : 2020
Handling Priority Inversion In Time Constrained Distributed Databases written by Udai Shankar and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
"This book explores technologies that can enable high performance atomicity, consistency, isolation, and durability in time-constrained distributed databases"--
Handling Priority Inversion In Time Constrained Distributed Databases
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Author :
language : de
Publisher:
Release Date : 2020
Handling Priority Inversion In Time Constrained Distributed Databases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex, as practitioners strive to discover novel approaches to increase the capabilities of modern computer structures. A prevalent area of research in recent years is scalable transaction processing and its usage in large databases and cloud computing. Despite its popularity, there remains a need for significant research in the understanding of scalability and its performance within distributed databases. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects of database transaction processing frameworks and improving their performance using modern technologies and algorithms. Featuring coverage on a broad range of topics such as consistency mechanisms, real-time systems, and replica management, this book is ideally designed for IT professionals, computing specialists, developers, researchers, data engineers, executives, academics, and students seeking research on current trends and developments in distributed computing and databases.
3rd Eai International Conference On Big Data Innovation For Sustainable Cognitive Computing
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Author : Anandakumar Haldorai
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
3rd Eai International Conference On Big Data Innovation For Sustainable Cognitive Computing written by Anandakumar Haldorai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
Advanced Network Technologies And Intelligent Computing
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Author : Isaac Woungang
language : en
Publisher: Springer Nature
Release Date : 2022-02-17
Advanced Network Technologies And Intelligent Computing written by Isaac Woungang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-17 with Computers categories.
This volume constitutes the selected papers presented at the First International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2021, hed in Varanasi, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 61 papers presented were thoroughly reviewed and selected from 593 submissions. They are organized in topical sections on advanced network technologies and intelligent computing. ;
Advanced Deep Learning Applications In Big Data Analytics
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Author : Bouarara, Hadj Ahmed
language : en
Publisher: IGI Global
Release Date : 2020-10-16
Advanced Deep Learning Applications In Big Data Analytics written by Bouarara, Hadj Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Computers categories.
Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.
Smart Computing And Communication For Sustainable Convergence
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Author : Shalli Rani
language : en
Publisher: CRC Press
Release Date : 2025-05-30
Smart Computing And Communication For Sustainable Convergence written by Shalli Rani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.
The proceedings of the first International Conference on Smart Computing and Communication for Sustainable Convergence (ISCCSC 2024) present a rich repository of cutting-edge research on smart computing, artificial intelligence and machine learning. It highlights technological breakthroughs and practical challenges in the field of edge learning, data mining, image processing, smart communications, 5G/6G communication networks, signal processing, wireless sensor networks, antenna systems and imaging. It also explores a wide range of communication paradigms, especially those pertaining to smart cities by delving deeper into smart healthcare, smart transportation and intelligent data processing. The findings are instrumental in combating critical global issues and foster a deeper understanding of the role of AI in shaping the world we live in. This will be a highly valuable guide to researchers, data scientists, practicing professionals and students in the fields of artificial intelligence, machine learning and data processing.
Applications And Developments In Semantic Process Mining
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Author : Okoye, Kingsley
language : en
Publisher: IGI Global
Release Date : 2020-04-10
Applications And Developments In Semantic Process Mining written by Okoye, Kingsley and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.
As technology becomes increasingly intelligent, various factors within the field of data science are seeing significant transformation. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields. Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and information extraction, the book takes into account the different stages of process mining and its application in real time and then expounds the classical process mining techniques to semantical preparation of the extracted models for further analysis and querying at a more abstract level. The book provides a wide-ranging idea of the application and development of semantic process mining that is expected to be beneficial and used by professionals, software and data engineers, software developers, IT experts, business owners and entrepreneurs, and process analysts.
Multidisciplinary Functions Of Blockchain Technology In Ai And Iot Applications
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Author : Chowdhury, Niaz
language : en
Publisher: IGI Global
Release Date : 2020-10-30
Multidisciplinary Functions Of Blockchain Technology In Ai And Iot Applications written by Chowdhury, Niaz and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with Computers categories.
Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.
Analyzing Data Through Probabilistic Modeling In Statistics
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Author : Jakóbczak, Dariusz Jacek
language : en
Publisher: IGI Global
Release Date : 2021-02-19
Analyzing Data Through Probabilistic Modeling In Statistics written by Jakóbczak, Dariusz Jacek and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-19 with Mathematics categories.
Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.