Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Author : Dina Darwish
language : en
Publisher:
Release Date : 2024-01-25
Emerging Trends In Cloud Computing Analytics Scalability And Service Models written by Dina Darwish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Emerging Trends In Cloud Computing Analytics Scalability And Service Models
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-25
Emerging Trends In Cloud Computing Analytics Scalability And Service Models written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.
Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.
Secure And Intelligent Iot Enabled Smart Cities
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Author : Singh, Sushil Kumar
language : en
Publisher: IGI Global
Release Date : 2024-04-01
Secure And Intelligent Iot Enabled Smart Cities written by Singh, Sushil Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Political Science categories.
Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.
Mathematical Modeling In Agriculture
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Author : Sabyasachi Pramanik
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-20
Mathematical Modeling In Agriculture written by Sabyasachi Pramanik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Technology & Engineering categories.
The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable. The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers’ choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.
Ai And Machine Learning Techniques For Wildlife Conservation
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Author : Raghav, Yogita Yashveer
language : en
Publisher: IGI Global
Release Date : 2025-02-11
Ai And Machine Learning Techniques For Wildlife Conservation written by Raghav, Yogita Yashveer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Nature categories.
As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation. AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.
Essential Information Systems Service Management
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Author : Patel, Rahul K.
language : en
Publisher: IGI Global
Release Date : 2024-09-27
Essential Information Systems Service Management written by Patel, Rahul K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Business & Economics categories.
As organizations navigate the complexities of modern information systems management (ISM), they face many challenges. Rapid technological advancements, changing workplace structures, and mainstreaming remote work have underscored the need for clear roles, responsibilities, and methods for interaction within ISM groups and with external stakeholders. This lack of clarity can lead to inefficiencies, inconsistencies, and even breakdowns in communication, hindering the organization's ability to manage its information systems effectively. Essential Information Systems Service Management serves as a comprehensive solution to the challenges of modern ISM. It uniquely compiles critical roles, responsibilities, workflows, processes, functions, and methods for successfully managing contemporary information systems. By providing a clear roadmap, this book empowers practitioners and students to navigate the evolving professional landscape confidently and competently, ensuring they can contribute effectively to their organizations.
Intersection Of Ai And Business Intelligence In Data Driven Decision Making
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Author : Natarajan, Arul Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-28
Intersection Of Ai And Business Intelligence In Data Driven Decision Making written by Natarajan, Arul Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
Resource Management In Distributed Systems
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Author : Anwesha Mukherjee
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Resource Management In Distributed Systems written by Anwesha Mukherjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.
Ransomware Evolution
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Author : Mohiuddin Ahmed
language : en
Publisher: CRC Press
Release Date : 2024-12-23
Ransomware Evolution written by Mohiuddin Ahmed and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Computers categories.
Ransomware is a type of malicious software that prevents victims from accessing their computers and the information they have stored. Typically, victims are required to pay a ransom, usually using cryptocurrency, such as Bitcoin, to regain access. Ransomware attacks pose a significant threat to national security, and there has been a substantial increase in such attacks in the post-Covid era. In response to these threats, large enterprises have begun implementing better cybersecurity practices, such as deploying data loss prevention mechanisms and improving backup strategies. However, cybercriminals have developed a hybrid variant called Ransomware 2.0. In this variation, sensitive data is stolen before being encrypted, allowing cybercriminals to publicly release the information if the ransom is not paid. Cybercriminals also take advantage of cryptocurrency’s anonymity and untraceability. Ransomware 3.0 is an emerging threat in which cybercriminals target critical infrastructures and tamper with the data stored on computing devices. Unlike in traditional ransomware attacks, cybercriminals are more interested in the actual data on the victims’ devices, particularly from critical enterprises such as government, healthcare, education, defense, and utility providers. State-based cyber actors are more interested in disrupting critical infrastructures rather than seeking financial benefits via cryptocurrency. Additionally, these sophisticated cyber actors are also interested in obtaining trade secrets and gathering confidential information. It is worth noting that the misinformation caused by ransomware attacks can severely impact critical infrastructures and can serve as a primary weapon in information warfare in today’s age. In recent events, Russia’s invasion of Ukraine led to several countries retaliating against Russia. A ransomware group threatened cyber-attacks on the critical infrastructure of these countries. Experts warned that this could be the most widespread ransomware gang globally and is linked to a trend of Russian hackers supporting the Kremlin’s ideology. Ensuring cyber safety from ransomware attacks has become a national security priority for many nations across the world. The evolving variants of ransomware attacks present a wider and more challenging threat landscape, highlighting the need for collaborative work throughout the entire cyber ecosystem value chain. In response to this evolving threat, a book addressing the challenges associated with ransomware is very timely. This book aims to provide a comprehensive overview of the evolution, trends, techniques, impact on critical infrastructures and national security, countermeasures, and open research directions in this area. It will serve as a valuable source of knowledge on the topic.
Developments Towards Next Generation Intelligent Systems For Sustainable Development
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Author : Sharma, Shanu
language : en
Publisher: IGI Global
Release Date : 2024-04-04
Developments Towards Next Generation Intelligent Systems For Sustainable Development written by Sharma, Shanu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Business & Economics categories.
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is useful to experts. However, modern devices often have limited resources, making it challenging to decode and utilize this data effectively. Additionally, the need for real-time decision-making further complicates this issue, as traditional data processing methods take far too long to be able to keep up with the required volume and speed. Developments Towards Next Generation Intelligent Systems for Sustainable Development offers a comprehensive solution to these challenges by integrating novel technologies such as AI, edge computing, federated learning, quantum computing, and more. The book shows how intelligent systems can maximize computing power by leveraging these technologies to process large volumes of data efficiently and autonomously and make real-time decisions. The proposed architectures and frameworks focus on real-time analysis, faster decision-making, enhanced privacy, and efficient data processing.