SIGMETRICS '08
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Publisher:
Published: 2008
Total Pages:
ISBN-13:
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SIGMETRICS '08
Author: Vishal Misra
Publisher:
Published: 2008
Total Pages: 471
ISBN-13:
DOWNLOAD EBOOKPerformance Analysis of Parallel Applications for HPC
Author: Jidong Zhai
Publisher: Springer Nature
Published: 2023-09-09
Total Pages: 259
ISBN-13: 9819943663
DOWNLOAD EBOOKThis book presents a hybrid static-dynamic approach for efficient performance analysis of parallel applications on HPC systems. Performance analysis is essential to finding performance bottlenecks and understanding the performance behaviors of parallel applications on HPC systems. However, current performance analysis techniques usually incur significant overhead. Our book introduces a series of approaches for lightweight performance analysis. We combine static and dynamic analysis to reduce the overhead of performance analysis. Based on this hybrid static-dynamic approach, we then propose several innovative techniques for various performance analysis scenarios, including communication analysis, memory analysis, noise analysis, computation analysis, and scalability analysis. Through these specific performance analysis techniques, we convey to readers the idea of using static analysis to support dynamic analysis. To gain the most from the book, readers should have a basic grasp of parallel computing, computer architecture, and compilation techniques.
Storage Systems
Author: Alexander Thomasian
Publisher: Academic Press
Published: 2021-10-13
Total Pages: 748
ISBN-13: 0323908098
DOWNLOAD EBOOKStorage 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
Big Data Analytics for Satellite Image Processing and Remote Sensing
Author: Swarnalatha, P.
Publisher: IGI Global
Published: 2018-03-09
Total Pages: 272
ISBN-13: 1522536442
DOWNLOAD EBOOKThe scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
Author: ACM-Sigmetrics
Publisher:
Published: 2008
Total Pages: 471
ISBN-13: 9781605580050
DOWNLOAD EBOOKPerformance Modeling and Engineering
Author: Zhen Liu
Publisher: Springer Science & Business Media
Published: 2008-04-12
Total Pages: 228
ISBN-13: 0387793615
DOWNLOAD EBOOKWith the fast development of networking and software technologies, information processing infrastructure and applications have been growing at an impressive rate in both size and complexity, to such a degree that the design and development of high performance and scalable data processing systems and networks have become an ever-challenging issue. As a result, the use of performance modeling and m- surementtechniquesas a critical step in designand developmenthas becomea c- mon practice. Research and developmenton methodologyand tools of performance modeling and performance engineering have gained further importance in order to improve the performance and scalability of these systems. Since the seminal work of A. K. Erlang almost a century ago on the mod- ing of telephone traf c, performance modeling and measurement have grown into a discipline and have been evolving both in their methodologies and in the areas in which they are applied. It is noteworthy that various mathematical techniques were brought into this eld, including in particular probability theory, stochastic processes, statistics, complex analysis, stochastic calculus, stochastic comparison, optimization, control theory, machine learning and information theory. The app- cation areas extended from telephone networks to Internet and Web applications, from computer systems to computer software, from manufacturing systems to s- ply chain, from call centers to workforce management.
Passive and Active Measurement
Author: Arvind Krishnamurthy
Publisher: Springer Science & Business Media
Published: 2010-04-01
Total Pages: 241
ISBN-13: 3642123333
DOWNLOAD EBOOKThe 2010 edition of the Passive and Active Measurement Conference was the 11th of a series of successful events. Since 2000, the Passive and Active M- surement (PAM) conference has provided a forum for presenting and discussing innovative and early work in the area of Internet measurements. PAM has a tradition of being a workshop-like conference with lively discussion and active participation from all attendees. This event focuses on research and practical applications of network measurement and analysis techniques. This year’s c- ference was held at ETH Zurich, Switzerland. PAM 2010 attracted 79 submissions. Each paper was carefully reviewed by at leastthreemembersoftheTechnicalProgramCommittee.Thereviewingprocess ledtotheacceptanceof23papers.Thepaperswerearrangedinninesessionsc- ering the following areas: routing, transport protocols, mobile devices, topology, measurement infrastructure, characterizing network usage, analysis techniques, tra?c analysis, and the Web. We are very grateful to Endace Ltd. (New Zealand), Cisco Systems Inc. (USA), armasuisse (Switzerland) and the COST Action TMA whose sponsoring allowedustokeepregistrationcostslowandto o?erseveraltravelgrantsto PhD students. We are also grateful to ETH Zurich for sponsoring PAM as a host.
Data and Applications Security and Privacy XXIV
Author: Sara Foresti
Publisher: Springer Science & Business Media
Published: 2010-06-09
Total Pages: 386
ISBN-13: 3642137385
DOWNLOAD EBOOKThe LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.
Traffic Measurement for Big Network Data
Author: Shigang Chen
Publisher: Springer
Published: 2016-11-01
Total Pages: 109
ISBN-13: 3319473409
DOWNLOAD EBOOKThis book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems. The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic.
