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The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance. As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces.
This book is a revised version of the author's PhD thesis, which was selected as the winning thesis of the 2001 ACM Doctoral Dissertation Competition. Ion Stoica did his PhD work at Carnegie Mellon University with Hui Zhang as thesis adviser. The author addresses the most pressing and difficult problem facing the Internet community today: how to enhance the Internet to support rich functionalities, such as QoS and traffic management, while still maintaining the scalability and robustness properties embodied in the original Internet architecture. The monograph presents complete solutions including architectures, algorithms, and implementations dealing with fundamental problems of today's Internet: providing guaranteed services, differentiated services, and flow protection. Compared to existing solutions, Ion Stoica's solution eliminates the complex operations on both data and control paths in the network core. All in all, the research results presented in this monograph constitute one of the most important contributions to networking research in the past ten years.
"This book presents up-to-date techniques for addressing data management problems with logic and memory use"--Provided by publisher.
This book is a printed edition of the Special Issue "Scalable Interactive Visualization" that was published in Informatics
The Comprehensive, Proven Approach to IT Scalability–Updated with New Strategies, Technologies, and Case Studies In The Art of Scalability, Second Edition, leading scalability consultants Martin L. Abbott and Michael T. Fisher cover everything you need to know to smoothly scale products and services for any requirement. This extensively revised edition reflects new technologies, strategies, and lessons, as well as new case studies from the authors’ pioneering consulting practice, AKF Partners. Writing for technical and nontechnical decision-makers, Abbott and Fisher cover everything that impacts scalability, including architecture, process, people, organization, and technology. Their insights and recommendations reflect more than thirty years of experience at companies ranging from eBay to Visa, and Salesforce.com to Apple. You’ll find updated strategies for structuring organizations to maximize agility and scalability, as well as new insights into the cloud (IaaS/PaaS) transition, NoSQL, DevOps, business metrics, and more. Using this guide’s tools and advice, you can systematically clear away obstacles to scalability–and achieve unprecedented IT and business performance. Coverage includes • Why scalability problems start with organizations and people, not technology, and what to do about it • Actionable lessons from real successes and failures • Staffing, structuring, and leading the agile, scalable organization • Scaling processes for hyper-growth environments • Architecting scalability: proprietary models for clarifying needs and making choices–including 15 key success principles • Emerging technologies and challenges: data cost, datacenter planning, cloud evolution, and customer-aligned monitoring • Measuring availability, capacity, load, and performance
“A Legacy of Computers and Missiles “is an intensively researched, photo-enhanced discussion of digital computing and missile development in the Twentieth Century, organized in two sections. (No matter what anyone has been told, virtually all of the digital machines ever designed are binary deep down inside. Number representations may have varied, but the binary logic discussed here prevails.) After a bit of early history, The Computing Section begins in earnest with Turing’s Bombe used to decrypt Enigma traffic, then investigates one-by-one digital systems from early room-sized serial machines through the beginning of the modern parallel era, ending with disgustingly parallel post 2000 Super-computers. Unlike most computing histories, Achieving Accuracy deals in detail with military computing systems generally omitted for lack of definitive information. (Computer design and computer-controlled missile guidance/ submarine navigation occupied some thirty years of the Author’s professional career. ) Achieving Accuracy‘s missile descriptions and discussions begin for weapon systems existing well before WW2 and cover virtually all US smart bombs, cruise and ballistic missiles of that century. Missile guidance systems have ranged from the V-1’s dead reckoning through simple, but jammable radio-controlled, to exceedingly complex self-contained inertial guidance systems discussed at length. The reader may be surprised to learn that a “smart-bomb” flew in 1917, with several different models used in anger in WW2. The Minuteman III leg of the present Triad is described in detail along with a somewhat bizarre set of proposed basing plans for the Peacekeeper Missile that were precursors of the recently proposed “Subway” basing plan for MMIII. Missile legacy includes a sub-section, necessarily less complete, describing Soviet/Russian missilery through 2000, noting that the early Soviet ballistic missile development was based almost entirely on the German V-2.
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.
A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this “prediction-centric” approach is convenient, the fact that the motion is “attached” to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability. In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed “reference-based” anchoring schemes is high quality motion inference, which is enabled by the use of a more “physical” motion representation than the traditionally employed “block” motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore, “features” beyond compressibility — including high scalability, accessibility, and “intrinsic” framerate upsampling — can be seamlessly supported. These features are becoming ever more relevant as the way video is consumed continues shifting from the traditional broadcast scenario to interactive browsing of video content over heterogeneous networks. This book is of interest to researchers and professionals working in multimedia signal processing, in particular those who are interested in next-generation video compression. Two comprehensive background chapters on scalable video compression and temporal frame interpolation make the book accessible for students and newcomers to the field.