Cloud-Based RDF Data Management, Ioana Manolescu, Stamatis Zampetakis, Zoi Kaoudi
Автор: Ioana Manolescu, Stamatis Zampetakis, Zoi Kaoudi Название: Cloud-Based RDF Data Management ISBN: 1681730332 ISBN-13(EAN): 9781681730332 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 5683.00 р. Наличие на складе: Поставка под заказ.
Описание: Resource Description Framework (or RDF, in short) is set to deliver many of the original semi-structured data promises: flexible structure, optional schema, and rich, flexible Universal Resource Identifiers as a basis for information sharing. Moreover, RDF is uniquely positioned to benefit from the efforts of scientific communities studying databases, knowledge representation, and Web technologies. As a consequence, the RDF data model is used in a variety of applications today for integrating knowledge and information: in open Web or government data via the Linked Open Data initiative, in scientific domains such as bioinformatics, and more recently in search engines and personal assistants of enterprises in the form of knowledge graphs.
Managing such large volumes of RDF data is challenging due to the sheer size, heterogeneity, and complexity brought by RDF reasoning. To tackle the size challenge, distributed architectures are required. Cloud computing is an emerging paradigm massively adopted in many applications requiring distributed architectures for the scalability, fault tolerance, and elasticity features it provides. At the same time, interest in massively parallel processing has been renewed by the MapReduce model and many follow-up works, which aim at simplifying the deployment of massively parallel data management tasks in a cloud environment.
In this book, we study the state-of-the-art RDF data management in cloud environments and parallel/distributed architectures that were not necessarily intended for the cloud, but can easily be deployed therein. After providing a comprehensive background on RDF and cloud technologies, we explore four aspects that are vital in an RDF data management system: data storage, query processing, query optimization, and reasoning. We conclude the book with a discussion on open problems and future directions.
Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks ISBN: 179982764X ISBN-13(EAN): 9781799827641 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.
Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks ISBN: 1799827658 ISBN-13(EAN): 9781799827658 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24948.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.
Автор: Jovan Pehcevski Название: Security of Cloud-Based Systems ISBN: 1774077779 ISBN-13(EAN): 9781774077771 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 23423.00 р. Наличие на складе: Поставка под заказ.
Описание: Covers different topics from security of cloud-based systems, including threat detection in cloud environments, frameworks for cloud security, enhancing the security in the cloud systems, and case studies.
Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book.
Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.
Автор: Baranwal, Gaurav Kumar, Dinesh Raza, Zahid Vidyarthi, Deo Prakash Название: Auction based resource provisioning in cloud computing ISBN: 9811087369 ISBN-13(EAN): 9789811087363 Издательство: Springer Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book, while introducing readers to the auction mechanism for resource provisioning in cloud computing, also endeavors to provide structured literature on the subject.
Описание: Cloud technologies have revolutionized the way we store information and perform various computing tasks. With the rise of this new technology, the ability to secure information stored on the cloud becomes a concern.The Handbook of Research on Securing Cloud-Based Databases with Biometric Applications explores the latest innovations in promoting cloud security through human authentication techniques. Exploring methods of access by identification, including the analysis of facial features, fingerprints, DNA, dental characteristics, and voice patterns, this publication is designed especially for IT professionals, academicians, and upper-level students seeking current research surrounding cloud security.
Автор: Rong Kun Jason Tan; John A. Leong; Amandeep S. Sid Название: Optimized Cloud Based Scheduling ISBN: 3030103331 ISBN-13(EAN): 9783030103330 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the context of growing demand for big data analytics, cloud computing offers an ideal platform for processing big data tasks due to its flexible scalability and adaptability.
Описание: Vein-based biological systems are highly useful for identification purposes since they cannot be stolen, duplicated, or washed out. These systems present opportunities in networking and cloud-based and internet of things systems as a more specific and accurate method of identification. However, while the concept is novel, the execution remains imperfect, and the current techniques to drive positive identification must be honed before implementation.
Cloud-Based M-Health Systems for Vein Image Enhancement and Feature Extraction: Emerging Research and Opportunities is an essential publication that examines the design and development of new digital identification tools. Featuring coverage of a broad range of topics including performance evaluation, algorithms, and design architecture, this book is ideally designed for clinicians, healthcare providers, programmers, software developers, doctors, academicians, researchers, and students.
A recent industry report from Gartner points out that choices related to cloud computing at enterprises have changed from "if" to "how" to build, deploy, consume, manage, secure and integrate cloud services into their operations. The cloud solutions architect is the person who defines the enterprise cloud strategy from a technical point of view and must take responsibility for rolling out these cloud services.
Cloud computing is a transformative paradigm that enables scalable, convenient, on-demand access to a shared pool of configurable computing and networking resources, for efficiently delivering applications and services over the Internet. Amazon Web Services (AWS), a leading provider of cloud platforms and services, defines a cloud solutions architect as one who can provide solution plans for the best architectural practices for cloud applications, can design and deploy highly scalable and fault-tolerant services, can assist in lifting legacy applications and shifting them to the cloud, and can identify and plan for data entry and exit from the cloud platform, choose suitable cloud services based on data, compute, and security requirements. Further, the cloud solutions architect also ensures that enterprise offerings conform to sound principles, such as AWS Well-Architected Framework (WAF) for cloud applications and services.
We have written this textbook, as part of our expanding "A Hands-On Approach"(TM) series, to meet this need at colleges and universities. This book is written as a textbook for training the next generation of cloud solutions architects for educational programs at colleges and universities, and also accompanying cloud certification programs where students would be interested in obtaining valuable hands-on skills on actual cloud platforms to further develop their knowledge and competency base.
The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. The reader is provided the necessary guidance and knowledge to develop working code for real-world cloud computing applications. Concurrent development of practical applications that accompanies traditional instructional material within the book further enhances the learning process, in our opinion. Furthermore, an accompanying website for this book (http: //hands-on-books-series.com) contains additional support for instruction and learning.
Автор: Lihui Wang; Xi Vincent Wang Название: Cloud-Based Cyber-Physical Systems in Manufacturing ISBN: 331967692X ISBN-13(EAN): 9783319676920 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.
Автор: Schaffner Jan Название: Multi Tenancy for Cloud-based In-memory Column Databases ISBN: 3319004964 ISBN-13(EAN): 9783319004969 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examining Software-as-a-Service (SaaS) from the perspective of the provider, this book shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers.
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