Data Intensive Storage Services for Cloud Environments

Data Intensive Storage Services for Cloud Environments

Creating a federation of existing cloud systems supports the user with a unified and combined view of storage and data services across several providers and systems. A storage federation allows users to seamlessly migrate, backup, ...

Author: Kyriazis, Dimosthenis

Publisher: IGI Global

ISBN: 9781466639355

Category: Computers

Page: 342

View: 841

With the evolution of digitized data, our society has become dependent on services to extract valuable information and enhance decision making by individuals, businesses, and government in all aspects of life. Therefore, emerging cloud-based infrastructures for storage have been widely thought of as the next generation solution for the reliance on data increases. Data Intensive Storage Services for Cloud Environments provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments. This reference source brings together research on storage technologies in cloud environments and various disciplines useful for both professionals and researchers.
Categories: Computers

Security with Intelligent Computing and Big data Services

Security with Intelligent Computing and Big data Services

CUs are the data owners and propose the cloud computing service requests to CCSs. CCSs are the cloud computing services provider because of their huge computing power on Internet. CCSs also provide cloud storage services for CUs to ...

Author: Sheng-Lung Peng

Publisher: Springer

ISBN: 9783319764511

Category: Technology & Engineering

Page: 372

View: 964

In the dawning era of Intelligent Computing and Big-data Services, security issues will be an important consideration in promoting these new technologies into the future. This book presents the proceedings of the 2017 International Conference on Security with Intelligent Computing and Big-data Services, the Workshop on Information and Communication Security Science and Engineering, and the Workshop on Security in Forensics, Medical, and Computing Services and Applications. The topics addressed include: Algorithms and Security Analysis, Cryptanalysis and Detection Systems, IoT and E-commerce Applications, Privacy and Cloud Computing, Information Hiding and Secret Sharing, Network Security and Applications, Digital Forensics and Mobile Systems, Public Key Systems and Data Processing, and Blockchain Applications in Technology. The conference is intended to promote healthy exchanges between researchers and industry practitioners regarding advances in the state of art of these security issues. The proceedings not only highlight novel and interesting ideas, but will also stimulate interesting discussions and inspire new research directions.
Categories: Technology & Engineering

Security with Intelligent Computing and Big data Services

Security with Intelligent Computing and Big data Services

IEEE Computer Society, Washington, DC (2016) Paul, M., Saxena, A.: Proof of erasability for ensuring comprehensive data deletion in cloud computing. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds.) ...

Author: Ching-Nung Yang

Publisher: Springer

ISBN: 9783030169466

Category: Technology & Engineering

Page: 928

View: 709

This book presents the proceedings of the 2018 International Conference on Security with Intelligent Computing and Big-data Services (SICBS 2018). With the proliferation of security with intelligent computing and big-data services, the issues of information security, big data, intelligent computing, blockchain technology, and network security have attracted a growing number of researchers. Discussing topics in areas including blockchain technology and applications; multimedia security; information processing; network, cloud and IoT security; cryptography and cryptosystems; as well as learning and intelligent computing and information hiding, the book provides a platform for researchers, engineers, academics and industrial professionals from around the globe to present their work in security-related areas. It not only introduces novel and interesting ideas, but also stimulates discussions and inspires new ideas.
Categories: Technology & Engineering

Pro ADO NET Data Services

Pro ADO NET Data Services

Data. Services. Fit. In? Now that you have read about the benefits and drawbacks of cloud computing and who the main players are, you are probably wondering where ADO.NET Data Services fits ...

Author: John Shaw

Publisher: Apress

ISBN: 9781430216155

Category: Computers

Page: 336

View: 617

Pro ADO.NET Data Services: Working with RESTful Data is aimed at developers interested in taking advantage of the REST–style data services that ADO.NET Data Services (formerly code–named Astoria) provides. The book shows how to incorporate ADO.NET Data Services into a wide range of common environments, including BizTalk, Ajax and Silverlight client applications. The material is intended for professional developers who are comfortable with the .NET 3.5 Framework but are coming to ADO.NET Data Services for the first time and want to understand how to integrate it into their own applications and enterprise solutions. The book is packed full with extensive real–world solutions and exercises, ensuring you walk away with a deep understanding of how to use ADO.NET Data Services to your best advantage.
Categories: Computers

Cloud Computing

Cloud Computing

for cloud storage services. There is a need to understand the risks associated with it as well as to build technologies to address those risks. Our focus in this book chapter is to analyze the security and trust aspects of cloud storage ...

Author: Lizhe Wang

Publisher: CRC Press

ISBN: 9781439856420

Category: Computers

Page: 844

View: 877

Cloud computing has created a shift from the use of physical hardware and locally managed software-enabled platforms to that of virtualized cloud-hosted services. Cloud assembles large networks of virtual services, including hardware (CPU, storage, and network) and software resources (databases, message queuing systems, monitoring systems, and load-balancers). As Cloud continues to revolutionize applications in academia, industry, government, and many other fields, the transition to this efficient and flexible platform presents serious challenges at both theoretical and practical levels—ones that will often require new approaches and practices in all areas. Comprehensive and timely, Cloud Computing: Methodology, Systems, and Applications summarizes progress in state-of-the-art research and offers step-by-step instruction on how to implement it. Summarizes Cloud Developments, Identifies Research Challenges, and Outlines Future Directions Ideal for a broad audience that includes researchers, engineers, IT professionals, and graduate students, this book is designed in three sections: Fundamentals of Cloud Computing: Concept, Methodology, and Overview Cloud Computing Functionalities and Provisioning Case Studies, Applications, and Future Directions It addresses the obvious technical aspects of using Cloud but goes beyond, exploring the cultural/social and regulatory/legal challenges that are quickly coming to the forefront of discussion. Properly applied as part of an overall IT strategy, Cloud can help small and medium business enterprises (SMEs) and governments in optimizing expenditure on application-hosting infrastructure. This material outlines a strategy for using Cloud to exploit opportunities in areas including, but not limited to, government, research, business, high-performance computing, web hosting, social networking, and multimedia. With contributions from a host of internationally recognized researchers, this reference delves into everything from necessary changes in users’ initial mindset to actual physical requirements for the successful integration of Cloud into existing in-house infrastructure. Using case studies throughout to reinforce concepts, this book also addresses recent advances and future directions in methodologies, taxonomies, IaaS/SaaS, data management and processing, programming models, and applications.
Categories: Computers

Cloud Computing and Services Science

Cloud Computing and Services Science

storage service outage in 2008 left many businesses that rely on the service offline for several hours and ... Enterprises and scientists use cloud storage services for various purposes, and files are in different sizes and formats.

Author: Ivan Ivanov

Publisher: Springer

ISBN: 9783319045191

Category: Computers

Page: 265

View: 756

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Cloud Computing and Services Science, CLOSER 2012, held in Porto, Portugal, in April 2012. The 15 papers were selected from 145 submissions and are presented together with one invited paper. The papers cover the following topics: cloud computing fundamentals, services science foundation for cloud computing, cloud computing platforms and applications, and cloud computing enabling technology.
Categories: Computers

Distributed and Cloud Computing

Distributed and Cloud Computing

Table 6.1 Important Cloud Platform Capabilities Capability Physical or virtual computing platform Massive data storage service, distributed file system Massive database storage service Massive data processing method and programming ...

Author: Kai Hwang

Publisher: Morgan Kaufmann

ISBN: 9780128002049

Category: Computers

Page: 672

View: 802

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing. Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online
Categories: Computers

Cloud Computing Smart Grid and Innovative Frontiers in Telecommunications

Cloud Computing  Smart Grid and Innovative Frontiers in Telecommunications

These characteristics can meet the small delay and location-aware services of the car as an terminal user requirements for data services [7, 8]. In this paper, MEC technology is introduced into IoV to form vehicular edge computing (VEC) ...

Author: Xuyun Zhang

Publisher: Springer Nature

ISBN: 9783030485139

Category: Computers

Page: 701

View: 520

This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.
Categories: Computers

Designing Cloud Data Platforms

Designing Cloud Data Platforms

About the book In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs.

Author: Danil Zburivsky

Publisher: Simon and Schuster

ISBN: 9781638350965

Category: Computers

Page: 336

View: 511

In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. Summary Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use. About the book In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. What's inside Best practices for structured and unstructured data sets Cloud-ready machine learning tools Metadata and real-time analytics Defensive architecture, access, and security About the reader For data professionals familiar with the basics of cloud computing, and Hadoop or Spark. About the author Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years. Table of Contents 1 Introducing the data platform 2 Why a data platform and not just a data warehouse 3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google 4 Getting data into the platform 5 Organizing and processing data 6 Real-time data processing and analytics 7 Metadata layer architecture 8 Schema management 9 Data access and security 10 Fueling business value with data platforms
Categories: Computers

Security with Intelligent Computing and Big Data Services 2019

Security with Intelligent Computing and Big Data Services 2019

We show that their construction of proxy re-encryption with keyword search exists some errors and it does not hold the correctness requirement. We point the problems out and proposed a new protocol. Keywords: Cloud computing ...

Author: Lakhmi C. Jain

Publisher: Springer Nature

ISBN: 9783030468286

Category: Computers

Page: 362

View: 869

This book aims to attract researchers and practitioners who are working in Information Technology and Computer Science. This edited book is about basics and high level concepts regarding Blockchain Technology and Application, Multimedia Security, Information Processing, Security of Network, Cloud and IoT, Cryptography and Cryptosystem, Learning and Intelligent Computing, Information Hiding. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware mechanisms in high performance computing and IoT applications. The book serves as a useful guide for industry persons and also helps beginners to learn things from basic to advance in the area of better computing paradigm. Our aim is intended to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results in security related areas. We believe that this volume not only presents novel and interesting ideas but also will stimulate interesting discussions from the participants and inspire new ideas.
Categories: Computers