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| Author | : Marcos K. Aguilera |
| Publisher | : |
| Total Pages | : 534 |
| Release | : 2016-10-05 |
| Genre | : Cloud computing |
| ISBN | : 9781450345255 |
SoCC '16: ACM Symposium on Cloud Computing Oct 05, 2016-Oct 07, 2016 Santa Clara, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
| Author | : Donald Ferguson |
| Publisher | : Springer |
| Total Pages | : 346 |
| Release | : 2018-07-13 |
| Genre | : Computers |
| ISBN | : 3319949594 |
This book constitutes extended, revised and selected papers from the 7th Ith International Conference on Cloud Computing and Service Science, CLOSER 2017, held in Porto, Portugal, in April 2017. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. CLOSER 2017 focused on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations and available services throughout the global network.
| Author | : Ayman El-Baz |
| Publisher | : CRC Press |
| Total Pages | : 279 |
| Release | : 2023-03-14 |
| Genre | : Medical |
| ISBN | : 1000839990 |
Today’s healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.
| Author | : San Murugesan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 744 |
| Release | : 2016-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1118821971 |
The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further information.
| Author | : L. Grandinetti |
| Publisher | : IOS Press |
| Total Pages | : 338 |
| Release | : 2018-08-22 |
| Genre | : Computers |
| ISBN | : 1614998825 |
Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core; GPU and hybrid distributed environments; and unstructured data processing with high-performance computing. This book presents 19 selected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale era, held in Tehran, Iran, in April 2017. The book is divided into 3 sections: State of the Art and Future Scenarios, Big Data Challenges, and HPC Challenges, and will be of interest to all those whose work involves the processing of Big Data and the use of HPC.
| Author | : Chao Wang |
| Publisher | : CRC Press |
| Total Pages | : 417 |
| Release | : 2024-06-04 |
| Genre | : Computers |
| ISBN | : 1040031986 |
With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures. Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas.
| Author | : John L. Hennessy |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 939 |
| Release | : 2017-11-23 |
| Genre | : Computers |
| ISBN | : 0128119063 |
Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design. - Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association - Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling - Features the first publication of several DSAs from industry - Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC - Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization - Includes "Putting It All Together" sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter - Includes review appendices in the printed text and additional reference appendices available online - Includes updated and improved case studies and exercises - ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry
| Author | : Alexander Lazovik |
| Publisher | : Springer |
| Total Pages | : 313 |
| Release | : 2018-01-30 |
| Genre | : Computers |
| ISBN | : 3319721259 |
This volume contains the technical papers presented in the workshops associated with the European Conference on Service-Oriented and Cloud Computing, ESOCC 2016, held in Vienna, Austria, in September 2016: 4th International Workshop on Cloud for IoT, CLloT 2016, Second International Workshop on Cloud Adoption and Migration, CloudWays 2016, First International Workshop on Patterns and Pattern Languages for SOCC: Use and Discovery, PATTWORLD 2016, combined with the First International Workshop on Performance and Conformance of Workflow Engines, PEaCE 2016, IFIP WG SOS Workshop 2016 Rethinking Services ResearCH, ReSeRCH 2016. Furthermore, there is a topical section presenting the results of the PhD Symposium. The abstracts of the presentations held at the European Projects Forum, EU Projects 2016, are included in the back-matter of the volume. The 15 full papers included in this volume were carefully reviewed and selected from 49 submissions. They focus on specific topics in service-oriented and cloud computing domains such as limits and/or advantages of existing cloud solutions, future internet technologies, efficient and adaptive deployment and management of service-based applications across multiple clouds, novel cloud service migration practices and solutions, digitization of enterprises in the cloud computing era, federated cloud networking services.
| Author | : Raghunath Nambiar |
| Publisher | : Springer |
| Total Pages | : 168 |
| Release | : 2019-01-29 |
| Genre | : Computers |
| ISBN | : 303011404X |
This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018. The 10 papers presented were carefully reviewed and selected from numerous submissions. The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.
| Author | : Joanna Kołodziej |
| Publisher | : Springer |
| Total Pages | : 364 |
| Release | : 2019-03-25 |
| Genre | : Computers |
| ISBN | : 3030162729 |
This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.
