Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You’ll Learn: Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes “fragmented” in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms.

Computer Communication Networks. --- Computer communication systems. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing --- MATLAB.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Chinese poetry --- Chinese poetry. --- Gu dian shi ge --- Tang Dynasty (China). --- History and criticism --- Yan jiu --- Dunhuang manuscripts. --- 618-907.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You’ll Learn: Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes “fragmented” in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms.

Computer architecture. Operating systems --- Matlab (informatica) --- Python (informatica) --- cloud computing --- IoT (Internet of Things) --- big data --- computernetwerken --- Computer communication systems. --- Computer Communication Networks. --- MATLAB.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is intended to address students, researchers and teachers of spoken language. It presents an empirical study of task-oriented language data in which coparticipants display levels of recipiency through reactive tokens. An in-depth investigation of displaying recipiency is of interest primarily to conversation analysts and pragmaticians involved in the research on talk-in-interaction in general and Mandarin Chinese conversations in particular. The communicative aspect makes this book relevant to the areas of language use. While previous research has shown that one single reactive token has different discourse functions in different conversational environments, this study shows that participants’ collaborative orientation to each other’s status of displayed recipiency seems decisive for the selection of reactive tokens, rather than one specific reactive token being employed for specific conversational purposes in varying interactional contexts. This book also contributes to fields in linguistics, pragmatics, and sociology which specialize in the investigation of spontaneous human communication.

Conversation analysis. --- Chinese language --- Mandarin dialects --- English language --- Interpersonal communication. --- Discourse analysis.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book addresses one of the most important components for pedestrian safety in vehicles – laminated windshields. It includes detailed real-world material characterization results for laminated glass and testing methodologies, constitutive models, and step-by-step numerical simulation modeling and simulation methods. As such, the book provides readers a thorough understanding of the mechanical behaviors of laminated glass and windshields. It also presents fundamental test data, analysis methodologies and essential insights into laminated glass safety design and mechanical behavior prediction. The book addresses the needs of researchers, engineers and postgraduate students in the fields of automotive engineering, mechanical engineering and related areas.

Automobiles --- Safety measures. --- Engineering. --- Mechanics. --- Materials. --- Engineering design. --- Automotive Engineering. --- Classical Mechanics. --- Structural Materials. --- Engineering Design. --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Engineering materials --- Industrial materials --- Engineering design --- Manufacturing processes --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Construction --- Industrial arts --- Technology --- Design --- Materials --- Automotive engineering. --- Structural materials. --- Architectural materials --- Architecture --- Building --- Building supplies --- Buildings --- Construction materials --- Structural materials