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Resource Optimization And Security For Cloud Services
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Book Synopsis Resource Optimization and Security for Cloud Services by : Kaiqi Xiong
Download or read book Resource Optimization and Security for Cloud Services written by Kaiqi Xiong and published by John Wiley & Sons. This book was released on 2014-02-19 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a study of trustworthiness, percentile response time, service availability, and authentication in the networks between users and cloud service providers, and at service stations or sites that may be owned by different service providers. The first part of the book contains an analysis of percentile response time, which is one of the most important SLA (service level agreements) metrics. Effective and accurate numerical solutions for the calculation of the percentile response time in single-class and multi-class queueing networks are obtained. Then, the numerical solution is incorporated in a resource allocation problem. Specifically, the authors present an approach for the resource optimization that minimizes the total cost of computer resources required while preserving a given percentile of the response time. In the second part, the approach is extended to consider trustworthiness, service availability, and the percentile of response time in Web services. These QoS metrics are clearly defined and their quantitative analysis provided. The authors then take into account these QoS metrics in a trust-based resource allocation problem in which a set of cloud computing resources is used by a service provider to host a typical Web services application for single-class customer services and multipleclass customer services respectively. Finally, in the third part of the book a thorough performance evaluation of two notable public key cryptography-based authentication techniques; Public-Key Cross Realm Authentication in Kerberos (PKCROSS) and Public Key Utilizing Tickets for Application Servers (PKTAPP, a.k.a. KX.509/KCA); is given, in terms of computational and communication times. The authors then demonstrate their performance difference using queuing networks. PKTAPP has been proposed to address the scalability issue of PKCROSS. However, their in-depth analysis of these two techniques shows that PKTAPP does not perform better than PKCROSS in a large-scale system. Thus, they propose a new public key cryptography-based group authentication technique. The performance analysis demonstrates that the new technique can scale better than PKCORSS and PKTAPP.
Book Synopsis Cloud Computing for Optimization: Foundations, Applications, and Challenges by : Bhabani Shankar Prasad Mishra
Download or read book Cloud Computing for Optimization: Foundations, Applications, and Challenges written by Bhabani Shankar Prasad Mishra and published by Springer. This book was released on 2018-02-26 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
Book Synopsis Machine Learning Approach for Cloud Data Analytics in IoT by : Sachi Nandan Mohanty
Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Book Synopsis Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures by : Madhusudhan H. S.
Download or read book Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures written by Madhusudhan H. S. and published by CRC Press. This book was released on 2024-05-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the major developments in the computing field has been cloud computing, which enables users to do complicated computations that local devices are unable to handle. The computing power and flexibility that have made the cloud so popular do not come without challenges. It is particularly challenging to decide which resources to use, even when they have the same configuration but different levels of performance because of the variable structure of the available resources. Cloud data centers can host millions of virtual machines, and where to locate these machines in the cloud is a difficult problem. Additionally, fulfilling optimization needs is a complex problem. Reliable and Intelligent Optimization in Multi-Layered Cloud Computing Architectures examines ways to meet these challenges. It discusses virtual machine placement techniques and task scheduling techniques that optimize resource utilization and minimize energy consumption of cloud data centers. Placement techniques presented can provide an optimal solution to the optimization problem using multiple objectives. The book focuses on basic design principles and analysis of virtual machine placement techniques and task allocation techniques. It also looks at virtual machine placement techniques that can improve quality-of-service (QoS) in service-oriented architecture (SOA) computing. The aims of virtual machine placement include minimizing energy usage, network traffic, economical cost, maximizing performance, and maximizing resource utilization. Other highlights of the book include: Improving QoS and resource efficiency Fault-tolerant and reliable resource optimization models A reactive fault tolerance method using checkpointing restart Cost and network-aware metaheuristics. Virtual machine scheduling and placement Electricity consumption in cloud data centers Written by leading experts and researchers, this book provides insights and techniques to those dedicated to improving cloud computing and its services.
Book Synopsis Emerging Technologies and Security in Cloud Computing by : Lakshmi, D.
Download or read book Emerging Technologies and Security in Cloud Computing written by Lakshmi, D. and published by IGI Global. This book was released on 2024-02-14 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's digital age, the exponential growth of cloud computing services has brought significant opportunities for businesses and individuals alike. However, this surge in cloud adoption has also ushered in a host of critical concerns, with the paramount issues being data privacy and security. The goal of protecting sensitive information from cyber threats and ensuring confidentiality has become increasingly challenging for organizations across industries. Emerging Technologies and Security in Cloud Computing is a comprehensive guide designed to tackle these pressing concerns head-on. This authoritative book provides a robust framework for understanding and addressing the multifaceted issues surrounding data privacy and security in the cloud. It serves as a beacon of knowledge for academic scholars, researchers, and IT professionals seeking practical solutions to safeguard sensitive data.
Book Synopsis Cognitive Computing Using Green Technologies by : Asis Kumar Tripathy
Download or read book Cognitive Computing Using Green Technologies written by Asis Kumar Tripathy and published by CRC Press. This book was released on 2021-03-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing.
Book Synopsis Advanced Computing Techniques for Optimization in Cloud by : H S Madhusudhan
Download or read book Advanced Computing Techniques for Optimization in Cloud written by H S Madhusudhan and published by CRC Press. This book was released on 2024-09-11 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques. Focuses on virtual machine placement and migration techniques for cloud data centers Presents the role of machine learning and metaheuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data center resource management, load balancing and orchestration using machine learning techniques Analyses dynamic and scalable resource scheduling with a focus on resource management The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology.
Book Synopsis Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives by : Grandinetti, Lucio
Download or read book Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives written by Grandinetti, Lucio and published by IGI Global. This book was released on 2013-10-31 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology trends may come and go, but cloud computing technologies have been gaining consideration in the commercial world due to its ability to provide on-demand access to resources, control the software environment, and supplement existing systems. Pervasive Cloud Computing Technologies: Future Outlooks and Interdisciplinary Perspectives explores the latest innovations with cloud computing and the impact of these new models and technologies. This book will present case studies and research on the future of cloud computing technologies and its ability to increase connectivity of various entities of the world. It is an essential resource for technology practitioners, engineers, managers, and academics aiming to gain the knowledge of these novel and pervasive technologies.
Book Synopsis Advances in Enterprise Technology Risk Assessment by : Gupta, Manish
Download or read book Advances in Enterprise Technology Risk Assessment written by Gupta, Manish and published by IGI Global. This book was released on 2024-10-07 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to evolve at an unprecedented pace, the field of auditing is also undergoing a significant transformation. Traditional practices are being challenged by the complexities of modern business environments and the integration of advanced technologies. This shift requires a new approach to risk assessment and auditing, one that can adapt to the changing landscape and address the emerging challenges of technology-driven organizations. Advances in Enterprise Technology Risk Assessment offers a comprehensive resource to meet this need. The book combines research-based insights with actionable strategies and covers a wide range of topics from the integration of unprecedented technologies to the impact of global events on auditing practices. By balancing both theoretical and practical perspectives, it provides a roadmap for navigating the intricacies of technology auditing and organizational resilience in the next era of risk assessment.
Book Synopsis Autonomic Computing in Cloud Resource Management in Industry 4.0 by : Tanupriya Choudhury
Download or read book Autonomic Computing in Cloud Resource Management in Industry 4.0 written by Tanupriya Choudhury and published by Springer Nature. This book was released on 2021-09-05 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the next generation of industry—Industry 4.0—and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management CRM techniques with proper propped solution for IT organizations. The book features chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.
Book Synopsis Cloud Computing Unleashed: Maximizing the Potential of Cloud Services by : Michael Roberts
Download or read book Cloud Computing Unleashed: Maximizing the Potential of Cloud Services written by Michael Roberts and published by Richards Education. This book was released on with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the limitless possibilities of cloud computing with Cloud Computing Unleashed: Maximizing the Potential of Cloud Services. This comprehensive guide covers everything you need to know about cloud computing, from fundamental concepts to advanced applications. Explore different cloud service models, deployment strategies, and architectural designs to enhance your understanding. Delve into critical aspects like security, data management, application development, and cost optimization. Whether you're an IT professional, a business leader, or a tech enthusiast, this book provides practical insights, real-world case studies, and best practices to help you harness the power of the cloud and drive innovation in your organization. Prepare for the future of cloud computing and take your skills to the next level with this essential resource.
Book Synopsis Computational Intelligence for Green Cloud Computing and Digital Waste Management by : Kumar, K. Dinesh
Download or read book Computational Intelligence for Green Cloud Computing and Digital Waste Management written by Kumar, K. Dinesh and published by IGI Global. This book was released on 2024-02-27 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource.
Book Synopsis AWS Certified Cloud Solutions Architect by : Cybellium
Download or read book AWS Certified Cloud Solutions Architect written by Cybellium and published by YouGuide Ltd. This book was released on 2024-09-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Book Synopsis Secure and Intelligent IoT-Enabled Smart Cities by : Singh, Sushil Kumar
Download or read book Secure and Intelligent IoT-Enabled Smart Cities written by Singh, Sushil Kumar and published by IGI Global. This book was released on 2024-04-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Recent Advances in Intelligent Engineering by : Levente Kovács
Download or read book Recent Advances in Intelligent Engineering written by Levente Kovács and published by Springer. This book was released on 2019-03-15 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers contributions on fuzzy neural control, intelligent and non-linear control, dynamic systems and cyber-physical systems. It presents the latest theoretical and practical results, including numerous applications of computational intelligence in various disciplines such as engineering, medicine, technology and the environment. The book is dedicated to Imre J. Rudas on his seventieth birthday.
Book Synopsis Proceedings of International Conference on Recent Innovations in Computing by : Yashwant Singh
Download or read book Proceedings of International Conference on Recent Innovations in Computing written by Yashwant Singh and published by Springer Nature. This book was released on 2023-05-02 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at the 5th International Conference on Recent Innovations in Computing (ICRIC 2022), held on May 13–14, 2022, at the Central University of Jammu, India, and organized by the university’s Department of Computer Science and Information Technology. The conference was hosted in association with ELTE, Hungary; Knowledge University, Erbil; Cyber Security Research Lab and many other national & international partners. The book is divided into two volumes, and it includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.
Book Synopsis Machine Learning and Optimization Models for Optimization in Cloud by : Punit Gupta
Download or read book Machine Learning and Optimization Models for Optimization in Cloud written by Punit Gupta and published by CRC Press. This book was released on 2022-02-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.
