High Availability and Scalability of Mainframe Environments using System z and z/OS as example

Mainframe computers are the backbone of industrial and commercial computing, hosting the most relevant and critical data of businesses. One of the most important mainframe environments is IBM System z with the operating system z/OS. This book introduces mainframe technology of System z and z/OS with respect to high availability and scalability. It highlights their presence on different levels within the hardware and software stack to satisfy the needs for large IT organizations

The role of the host in a cooperating mainframe and workstation environment, volumes 1 and 2

In recent years, advancements made in computer systems have prompted a move from centralized computing based on timesharing a large mainframe computer to distributed computing based on a connected set of engineering workstations. A major factor in this advancement is the increased performance and lower cost of engineering workstations. The shift to distributed computing from centralized computing has led to challenges associated with the residency of application programs within the system. In a combined system of multiple engineering workstations attached to a mainframe host, the question arises as to how does a system designer assign applications between the larger mainframe host and the smaller, yet powerful, workstation. The concepts related to real time data processing are analyzed and systems are displayed which use a host mainframe and a number of engineering workstations interconnected by a local area network. In most cases, distributed systems can be classified as having a single function or multiple functions and as executing programs in real time or nonreal time. In a system of multiple computers, the degree of autonomy of the computers is important; a system with one master control computer generally differs in reliability, performance, and complexity from a system in which all computers share the control. This research is concerned with generating general criteria principles for software residency decisions (host or workstation) for a diverse yet coupled group of users (the clustered workstations) which may need the use of a shared resource (the mainframe) to perform their functions

Goddard Conference on Mass Storage Systems and Technologies, volume 2

Papers and viewgraphs from the conference are presented. Discussion topics include the IEEE Mass Storage System Reference Model, data archiving standards, high-performance storage devices, magnetic and magneto-optic storage systems, magnetic and optical recording technologies, high-performance helical scan recording systems, and low end helical scan tape drives. Additional discussion topics addressed the evolution of the identifiable unit for processing (file, granule, data set, or some similar object) as data ingestion rates increase dramatically, and the present state of the art in mass storage technology

Fourth NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of all those technical papers received in time for publication just prior to the Fourth Goddard Conference on Mass Storage and Technologies, held March 28-30, 1995, at the University of Maryland, University College Conference Center, in College Park, Maryland. This series of conferences continues to serve as a unique medium for the exchange of information on topics relating to the ingestion and management of substantial amounts of data and the attendant problems involved. This year's discussion topics include new storage technology, stability of recorded media, performance studies, storage system solutions, the National Information infrastructure (Infobahn), the future for storage technology, and lessons learned from various projects. There also will be an update on the IEEE Mass Storage System Reference Model Version 5, on which the final vote was taken in July 1994

Sixth Goddard Conference on Mass Storage Systems and Technologies Held in Cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems

This document contains copies of those technical papers received in time for publication prior to the Sixth Goddard Conference on Mass Storage Systems and Technologies which is being held in cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems at the University of Maryland-University College Inn and Conference Center March 23-26, 1998. As one of an ongoing series, this Conference continues to provide a forum for discussion of issues relevant to the management of large volumes of data. The Conference encourages all interested organizations to discuss long term mass storage requirements and experiences in fielding solutions. Emphasis is on current and future practical solutions addressing issues in data management, storage systems and media, data acquisition, long term retention of data, and data distribution. This year's discussion topics include architecture, tape optimization, new technology, performance, standards, site reports, vendor solutions. Tutorials will be available on shared file systems, file system backups, data mining, and the dynamics of obsolescence

Fifth NASA Goddard Conference on Mass Storage Systems and Technologies

This document contains copies of those technical papers received in time for publication prior to the Fifth Goddard Conference on Mass Storage Systems and Technologies held September 17 - 19, 1996, at the University of Maryland, University Conference Center in College Park, Maryland. As one of an ongoing series, this conference continues to serve as a unique medium for the exchange of information on topics relating to the ingestion and management of substantial amounts of data and the attendant problems involved. This year's discussion topics include storage architecture, database management, data distribution, file system performance and modeling, and optical recording technology. There will also be a paper on Application Programming Interfaces (API) for a Physical Volume Repository (PVR) defined in Version 5 of the Institute of Electrical and Electronics Engineers (IEEE) Reference Model (RM). In addition, there are papers on specific archives and storage products

The Third NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of nearly all of the technical papers and viewgraphs presented at the Goddard Conference on Mass Storage Systems and Technologies held in October 1993. The conference served as an informational exchange forum for topics primarily relating to the ingestion and management of massive amounts of data and the attendant problems involved. Discussion topics include the necessary use of computers in the solution of today's infinitely complex problems, the need for greatly increased storage densities in both optical and magnetic recording media, currently popular storage media and magnetic media storage risk factors, data archiving standards including a talk on the current status of the IEEE Storage Systems Reference Model (RM). Additional topics addressed System performance, data storage system concepts, communications technologies, data distribution systems, data compression, and error detection and correction

Design of disk cache for high performance computing.

by Vincent, Kwan Chi Wai.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical references (leaves 123-127).Abstract --- p.iAcknowledgement --- p.iiList of Tables --- p.viiList of Figures --- p.viiiChapter 1 --- Introduction --- p.1Chapter 1.1 --- I/O System --- p.2Chapter 1.2 --- Disk Cache --- p.4Chapter 1.3 --- Dissertation Outline --- p.5Chapter 2 --- Related Work --- p.7Chapter 2.1 --- Prefetching --- p.7Chapter 2.2 --- Cache Partitioning --- p.9Chapter 2.2.1 --- Hardware Assisted Mechanism --- p.9Chapter 2.2.2 --- Software Assisted Mechanism --- p.10Chapter 2.3 --- Replacement Policy --- p.12Chapter 2.4 --- Caching Write Operation --- p.13Chapter 2.5 --- Others --- p.14Chapter 2.6 --- Summary --- p.15Chapter 3 --- Methodology and Models --- p.17Chapter 3.1 --- Performance Measurement --- p.17Chapter 3.1.1 --- Partial Hit --- p.17Chapter 3.1.2 --- Time Model --- p.17Chapter 3.2 --- Terminology --- p.19Chapter 3.2.1 --- Transfer Block --- p.19Chapter 3.2.2 --- Multiple-sector Request --- p.19Chapter 3.2.3 --- "Dynamic Block, Heading Sectors and Content Sectors" --- p.20Chapter 3.2.4 --- Heading Reuse and Non-heading Reuse --- p.22Chapter 3.3 --- New Models --- p.23Chapter 3.3.1 --- Unified Cache with Always Prefetch --- p.24Chapter 3.3.2 --- Partitioned Cache: Branch Target Cache and Prefetch Buffer --- p.25Chapter 3.3.3 --- BTC + PB with Alternative Storing Sector Technique --- p.29Chapter 3.3.4 --- BTC + PB with ASST Applying to Dynamic Block --- p.34Chapter 3.3.5 --- BTC + PB with Storing Enough Head Technique --- p.35Chapter 3.4 --- Impact of Block Size --- p.38Chapter 4 --- Trace Driven Simulation --- p.41Chapter 4.1 --- Simulation Environment --- p.41Chapter 4.2 --- Two Kinds Of Disk --- p.43Chapter 4.3 --- Control Models --- p.43Chapter 4.3.1 --- Model 1: No Cache --- p.43Chapter 4.3.2 --- Model 2: Unified Cache without Prefetch --- p.44Chapter 4.3.3 --- Model 3: Unified Cache with Prefetch on Miss --- p.44Chapter 4.4 --- Two Comparison Standards --- p.45Chapter 4.5 --- Trace Properties --- p.46Chapter 5 --- Performance Evaluation of Common Disk --- p.54Chapter 5.1 --- The Effect Of Cache Size --- p.54Chapter 5.1.1 --- Trends of Absolute Reduction in Time --- p.55Chapter 5.1.2 --- Trends of Relative Reduction in Time --- p.55Chapter 5.2 --- The Effect Of Block Size --- p.68Chapter 5.2.1 --- Trends of Absolute Reduction in Time --- p.68Chapter 5.2.2 --- Trends of Relative Reduction in Time --- p.73Chapter 5.3 --- The Effect Of Set Associativity --- p.77Chapter 5.3.1 --- Trends of Absolute Reduction in Time --- p.77Chapter 5.4 --- The Effect Of Start-up Time C1 --- p.79Chapter 5.4.1 --- Trends of Absolute Reduction in Time --- p.80Chapter 5.4.2 --- Trends of Relative Reduction in Time --- p.80Chapter 5.5 --- The Effect Of Transfer Time C2 --- p.83Chapter 5.5.1 --- Trends of Absolute Reduction in Time --- p.83Chapter 5.5.2 --- Trends of Relative Reduction in Time --- p.83Chapter 5.5.3 --- Impact of C2=0.5 on Cache Size --- p.86Chapter 5.5.4 --- Impact of C2=0.5 on Block Size --- p.87Chapter 5.6 --- The Effect Of Prefetch Buffer Size --- p.90Chapter 5.7 --- Others --- p.93Chapter 5.7.1 --- In The Case of Very Small Cache with Large Block Size --- p.93Chapter 5.7.2 --- Comparing Performance of Model 6 and Model 7 --- p.94Chapter 5.8 --- Conclusion --- p.95Chapter 5.8.1 --- The Number of Actual Sectors Transferred between Disk and Cache . --- p.95Chapter 5.8.2 --- The Efficiency of Our Models on Common Disk --- p.96Chapter 6 --- Performance Evaluation of High Performance Disk --- p.98Chapter 6.1 --- Difference Between Common Disk And High Performance Disk --- p.98Chapter 6.2 --- The Effect Of Cache Size --- p.99Chapter 6.2.1 --- Trends of Absolute Reduction in Time --- p.99Chapter 6.2.2 --- Trends of Relative Reduction in Time --- p.99Chapter 6.3 --- The Effect Of Block Size --- p.103Chapter 6.3.1 --- Trends of Absolute Reduction in Time --- p.105Chapter 6.3.2 --- Trends of Relative Reduction in Time --- p.105Chapter 6.4 --- The Effect Of Start-up Time C1 --- p.110Chapter 6.4.1 --- Trends of Relative Reduction in Time --- p.110Chapter 6.5 --- The Effect Of Transfer Time C2 --- p.110Chapter 6.5.1 --- Trends of Relative Reduction in Time --- p.112Chapter 6.5.2 --- Impact of C2=0.5 on Cache Size --- p.112Chapter 6.5.3 --- Impact of C2=0.5 on Block Size --- p.116Chapter 6.6 --- Conclusion --- p.117Chapter 7 --- Conclusions and Future Work --- p.119Chapter 7.1 --- Conclusions --- p.119Chapter 7.2 --- Future Work --- p.122Bibliography --- p.12