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OpenVMS Alpha Internals and Data Structures: Memory Management is an updateto selected parts of the book OpenVMS AXP Internals and Data Structures Version 1.5 (Digital Press, 1994). This book covers the extensions to the memory management subsystem of OpenVMS Alpha to allow the operating system and applications to access 64 bits of address space. It emphasizes system data structures and their manipulation by paging and swapping routines and related system services.It also describes management of dynamic memory, such as nonpaged pool, and support for nonuniform memory access (NU

Operating systems (Computers) --- Memory management (Computer science) --- OpenVMS.

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Storage Systems: Organization, Performance, Coding, Reliability and Their Data Processing was motivated by the 1988 Redundant Array of Inexpensive/Independent Disks proposal to replace large form factor mainframe disks with an array of commodity disks. Disk loads are balanced by striping data into strips--with one strip per disk-- and storage reliability is enhanced via replication or erasure coding, which at best dedicates k strips per stripe to tolerate k disk failures. Flash memories have resulted in a paradigm shift with Solid State Drives (SSDs) replacing Hard Disk Drives (HDDs) for high performance applications. RAID and Flash have resulted in the emergence of new storage companies, namely EMC, NetApp, SanDisk, and Purestorage, and a multibillion-dollar storage market. Key new conferences and publications are reviewed in this book. The goal of the book is to expose students, researchers, and IT professionals to the more important developments in storage systems, while covering the evolution of storage technologies, traditional and novel databases, and novel sources of data. We describe several prototypes: FAWN at CMU, RAMCloud at Stanford, and Lightstore at MIT; Oracle's Exadata, AWS' Aurora, Alibaba's PolarDB, Fungible Data Center; and author's paper designs for cloud storage, namely heterogeneous disk arrays and hierarchical RAID. Surveys storage technologies and lists sources of data: measurements, text, audio, images, and video Familiarizes with paradigms to improve performance: caching, prefetching, log-structured file systems, and merge-trees (LSMs) Describes RAID organizations and analyzes their performance and reliability Conserves storage via data compression, deduplication, compaction, and secures data via encryption Specifies implications of storage technologies on performance and power consumption Exemplifies database parallelism for big data, analytics, deep learning via multicore CPUs, GPUs, FPGAs, and ASICs, e.g., Google's Tensor Processing Units.

Computer storage devices. --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Memory systems --- Storage devices

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Computer storage devices. --- Memristors. --- Electrical engineering. --- Electric engineering --- Engineering --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Memory systems --- Storage devices

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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.

Computer input-output equipment --- Parallel computers --- Memory management (Computer science) --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Management of computer memory --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Input-output equipment --- Computer storage devices --- Loop tiling (Computer science) --- Computer systems --- Computer input-output equipment. --- Parallel computers.

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This book describes storage configuration and measurement to enable Windows administrators to make the best use of storage devices in a Microsoft Exchange server environment and Windows Server 2003 (formerly called .NET). After describing basic storage performance concepts, Bijaoui, a leading expert in Exchange scalability, gives a pragmatic approach to storage configuration and tuning. He also covers leveraging of storage components, whether these are local disks or part of more complex networked storage infrastructures.·Gives the reader a clear and simple view of storage performance

Client/server computing. --- Electronic mail systems. --- Computer storage devices. --- Microsoft Exchange server. --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- E-mail systems --- Electronic message systems --- Email systems --- Data transmission systems --- Telematics --- Voice mail systems --- Computing, Client/server --- Electronic data processing --- Memory systems --- Storage devices --- Distributed processing --- Microsoft Exchange 2000 --- Information Technology --- General and Others