Storage Network Performance Analysis

Author: Huseyin Simitci
Publisher: Wiley
ISBN: 9780764516856
Format: PDF, Docs
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Features vendor-neutral coverage applicable to any storage network Includes a special case-study section citing real-world applications and examples The first vendor-neutral volume to cover storage network performance tuning and optimization Exacting performance monitoring and analysis maximizes the efficiency and cost-effectiveness of existing storage networks Meets the needs of network administrators, storage engineers, and IT professionals faced with shrinking budgets and growing data storage demands

Data Center Storage Systems

Author: Berk Atikoǧlu
Format: PDF, Mobi
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Data centers are large groups of networked servers -- typically on the order of tens of thousands of servers -- that power Internet services used by billions of people. As the Internet usage keeps growing and the Internet services get more sophisticated, it is evident that the data center performance will play an even bigger role in users' quality of experience in using these services. Thus, it becomes imperative that data center resources are scaled to cope with the projected increase in Internet services traffic. While data center performance can potentially be optimized along many dimensions, our dissertation focuses on analyzing and optimizing the performance of two key components of a typical data center. The first component is the storage systems, which store the data related to the services such as user state, profiles, accounting and authentication. In addition to maintaining the integrity and privacy of such data, storage systems should be extremely responsive in returning the data when queried by the services hosted by the data center. The second component is the network connecting the servers in the data center with each other. Clearly, the communication performance between the servers should be optimized as well to meet strict delay and bandwidth requirements of the services. However, optimizing the storage and the network involves a number of challenges, which should be effectively addressed to meet the critical performance requirements. This dissertation describes our efforts to address some of these challenges, which we detail below. In the first part of this dissertation, we analyze Facebook's Memcached deployment, which is a distributed memory caching system. By carefully studying this deployment, which is arguably the world's largest, we detail many characteristics of the caching workload and also reveal a number of surprising results: i) we find the GET/SET ratio to be 30:1, which is higher than what is assumed in the literature, ii) some applications of Memcached behave more like persistent storage than a cache, iii) strong locality metrics, such as keys accessed many millions of times a day, do not always suffice for a high hit rate, and iv) there is still room for efficiency and hit rate improvements in Memcached's implementation. We believe that the insights revealed by our analysis are critical to understand the performance of distributed memory caching systems and help design schemes to optimize their deployment. In the second part of the dissertation, we focus on optimizing the network performance along both Layer 2 and Layer 3 of the protocol stack. We first present R2D2, a method for rapid and reliable data delivery in data centers. R2D2 exploits the uniformity of data center network topology and latency to collapse individual Layer 3 flows into one meta-flow. Such state-sharing among multiple flows leads to a very simple and cost-effective method for making the inter-connection fabric reliable. We extensively test a prototype Linux implementation of R2D2 in 1 Gbps and 10 Gbps networks with a variety of switches and under different workloads. We find that it significantly improves TCP performance by preventing timeouts. We deploy R2D2 in a production environment with hundreds of servers and real world traffic and show that R2D2 performs at least as good as existing solutions which are much more expensive to implement than R2D2. Finally, we describe the QCN (Quantized Congestion Notification) algorithm and present a mathematical model for understanding its stability. QCN is a Layer 2 congestion control mechanism, which has been developed for the IEEE 802.1Qau standard (a part of the IEEE Data Center Bridging Task Group's efforts).

Managing Traffic Performance in Converged Networks

Author: Lorne Mason
Publisher: Springer
ISBN: 3540729909
Format: PDF, Kindle
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This book constitutes the refereed proceedings of the 10th International Teletraffic Congress, ITC 2007, held in Ottawa, Canada, June 2007. Coverage includes IPTV planning and modeling, network performance, traffic engineering, end-to-end delay in converged networks, queuing models, impact of convergence and divergence forces on network performance, traffic management in wireless networks, and network design for capacity and performance.

High Performance Persistent Storage System for BigData Analysis

Author: Piyush Saxena
Publisher: GRIN Verlag
ISBN: 3656721610
Format: PDF, Kindle
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Master's Thesis from the year 2014 in the subject Computer Science - Applied, grade: 82.00, , course: M.Tech CS&E, language: English, abstract: Hadoop and Map reduce today are facing huge amounts of data and are moving towards ubiquitous for big data storage and processing. This has made it an essential feature to evaluate and characterize the Hadoop file system and its deployment through extensive benchmarking. We have other benchmarking tools widely available with us today that are capable of analyzing the performance of the Hadoop system but they are made to either run in a single node system or are created for assessing the storage device that is attached and its basic characteristics as top speed and other hardware related details or manufacturer’s details. For this, the tool used is HiBench that is an essential part of Hadoop and is comprehensive benchmark suit that consist of a complete deposit of Hadoop applications having micro bench marks & real time applications for the purpose of benchmarking the performance of Hadoop on the available type of storage device (i.e. HDD and SSD) and machine configuration. This is helpful to optimize the performance and improve the support towards the limitations of Hadoop system. In this research work we will analyze and characterize the performance of external sorting algorithm in Hadoop (MapReduce) with SSD and HDD that are connected with various Interconnect technologies like 10GigE, IPoIB and RDBAIB. In addition, we will also demonstrate that the traditional servers and old Cloud systems can be upgraded by software and hardware up gradations to perform at par with the modern technologies to handle these loads, without spending ruthlessly on up gradations or complete changes in the system with the use of Modern storage devices and interconnect networking systems. This in turn reduces the power consumption drastically and allows smoother running of large scale servers with low latency and high throughput allowing use of the utmost power of the processors for the big data flowing in the network.

IBM System Storage DS8000 Performance Monitoring and Tuning

Author: Axel Westphal
Publisher: IBM Redbooks
ISBN: 073844149X
Format: PDF
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This IBM® Redbooks® publication provides guidance about how to configure, monitor, and manage your IBM DS8880 storage systems to achieve optimum performance, and it also covers the IBM DS8870 storage system. It describes the DS8880 performance features and characteristics, including hardware-related performance features, synergy items for certain operating systems, and other functions, such as IBM Easy Tier® and the DS8000® I/O Priority Manager. The book also describes specific performance considerations that apply to particular host environments, including database applications. This book also outlines the various tools that are available for monitoring and measuring I/O performance for different server environments, and it describes how to monitor the performance of the entire DS8000 storage system. This book is intended for individuals who want to maximize the performance of their DS8880 and DS8870 storage systems and investigate the planning and monitoring tools that are available. The IBM DS8880 storage system features, as described in this book, are available for the DS8880 model family with R8.0 release bundles (Licensed Machine Code (LMC) level 7.8.0).

Systems Performance

Author: Brendan Gregg
Publisher: Pearson Education
ISBN: 0133390098
Format: PDF, Mobi
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"Large-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux® and Unix® performance, while illuminating performance issues that are relevant to all operating systems. You'll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu®, Fedora®, CentOS, and the illumos-based Joyent® SmartOSTM and OmniTI OmniOS®. He systematically covers modern systems performance, including the "traditional" analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the "unknown unknowns" of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish."--Back cover.

Storage Networking Protocol Fundamentals

Author: James Long
Publisher: Cisco Press
ISBN: 0133490556
Format: PDF, ePub, Mobi
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A comparative analysis of Ethernet, TCP/IP, and Fibre Channel in the context of SCSI Introduces network administrators to the requirements of storage protocols Explains the operation of network protocols to storage administrators Compares and contrasts the functionality of Ethernet, TCP/IP, and Fibre Channel Documents the details of the major protocol suites, explains how they operate, and identifies common misunderstandings References the original standards and specifications so you can get a complete understanding of each protocol Helps you understand the implications of network design choices Discusses advanced network functionality such as QoS, security, management, and protocol analysis Corporations increasingly depend on computer and communication technologies to remain competitive in the global economy. Customer relationship management, enterprise resource planning, and e-mail are a few of the many applications that generate new data every day. Effectively storing, managing, and accessing that data is a primary business challenge in the information age. Storage networking is a crucial component of the solution to meet that challenge. Written for both storage administrators who need to learn more about networking and network administrators who need to learn more about storage, Storage Networking Protocol Fundamentals is a concise introduction to storage networking protocols. The book picks up where Storage Networking Fundamentals left off by focusing on the networking protocols that underlie modern open systems: block-oriented storage networks. The first part of the book introduces you to the field of storage networking and the Open Systems Interconnection (OSI) reference model. The second part compares networked storage technologies, including iSCSI (Small Computer Systems Interface over IP) and Fibre Channel. It also examines in detail each of the major protocol suites layer-by-layer within the OSI reference model. The third part discusses advanced functionalities of these technologies, such as quality of service (QoS), load-balancing functions, security, management, and protocol analysis. You can read this book cover to cover or use it as a reference, directly accessing the particular topics of interest to you. “Storage networking is a critical concept for today’s businesses, and this book provides a unique and helpful way to better understand it. Storage networking is also continuously evolving, and as such this book may be seen as an introduction to the information technology infrastructures of the future.” —from the foreword by Claudio DeSanti, vice-chairman of the ANSI INCITS T11 Technical Committee

Tools for High Performance Computing 2009

Author: Matthias S. Müller
Publisher: Springer Science & Business Media
ISBN: 3642112617
Format: PDF
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As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.