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Dedication
Dedicated to the memory of my parents Sarkis and Gayaneh Thomasian and my sister Lena Movsessian
About the author
Alexander Thomasian after graduating from the Koushesh-Davitian Armenian High School in Tehran, Iran was admitted to the Univ. of Tehran to study Electrical Engineering. With a B.S.E.E. he first joined IBM World Trade Corp. as a Systems Engineer, before switching to Tehran Regional Electric Utility - TREC, which had half a million customers in 1970. With a PhD degree in Computer Science from Univ. of Calif. at Los Angeles, and before founding Thomasian & Associates consulting in Pleasantville, NY, he spent half of his time in academia: Case Western Reserve Univ. - CWRU, U. of Southern Calif. - USC, Univ. of Connecticut - UConn, and New Jersey Institute of Technology - NJIT and the other half in industry. He was a Sr. Staff Scientist at: Burrough (now Unisys) Corporate Center for Performance Modeling and Research Staff Member at IBM's T. J. Watson Research Center - TJWRC, with a one year assignment at Almaden Research Center. At NJIT he ran the Integrated Systems Lab with a half a dozen students. As an adjunct professor he taught graduate courses at Univ. of Calif. at Irvine, while at Burroughs and at Columbia Univ. while at IBM Research by invitation. He has taught graduate level courses on computer architecture performance analysis, databases and data mining over the years.
On assignment to IBM's Almaden Research Center he devised analytic and simulation models to predict the performance of IBMs RAID5 product under development. He continued research on storage systems at IBM TJWRC and later at NJIT where his storage research was funded by the US Nat'l Science Foundation - NSF, Hitachi Global Storage Technologies - HSGT, and AT&T's Virtual University Research Institute - VURI and then at Thomasian & Associates. He spent a year at Shenzhen Institutes of Advanced Technology in 2010-11 and was a Fulbright Fellow at the American Univ. of Armenia for the first half of 2015.
He is a Life Fellow of IEEE for fundamental contributions to the design and analysis of concurrency control methods and performance analysis of computer systems. At IBM he was recipient of an Outstanding Innovation Award and other awards related to his four patents. He was an editor of IEEE Transactions on Parallel and Distributed Systems and was on the program committees of numerous conferences. His monograph on database concurrency control was republished by Springer. He has 150 over publications in top journals and conferences, which are mainly listed here.
https://dblp.org/pid/t/AlexanderThomasian.html
Preface
During the 1960's, most data storage systems used with mainframes and minicomputers were the ones specified by individual computer manufacturers. Since those days, the industry has evolved into a worldwide assortment of computer companies offering systems for a large, diverse mix of applications. The impact on the market for computer storage systems has been huge - Immense markets, divergent host system requirements, short product lives for storage products, numerous storage company start-ups, with valiant attempts to achieve storage product standards and reliability.
Partial abstract for How computer storage became a modern business panel at Computer History Museum on March 9, 2005, also see ().
https://computerhistory.org/events/how-computer-storage-became-modern/
The preface is organized as follows: (1) Why this book. (2) Text overview. (3) Intended audience. (4) Book overview. (5) Overview of book chapters. (6) Acknowledgments. (7) Abbreviations and acronyms.
Why this book?
Textbooks on computer organization and architecture do not sufficiently cover storage systems, which is especially a problem in view of rapid recent advancements in the field. There are books dealing with specific storage technologies, e.g., ().
This text has been written to fill this gap and much more, i.e., not only storage technologies, but also data storage formats, data compression, encryption and processed. Stored data includes text (books), images (photos), audio (music), video (movies). Data is generated by machines (measurement data) or humans on the internet (emails, tweets) is increasing exponentially.