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Excerpt from Hierarchical Timestamping Algorithm
Analysis of a set of update transactions T. Against a database consisting of a set of data partitions results in a data partition graph, where the nodes are the data partitions, and the arcs are assigned in such a way that there is an arc from a data partition D, to another data partition DJ if and only if one can hnd a potential transaction in the database system that updates data elements in D.' and accesses reads or writes) data elements in Di. That is, Di - edj, 1°;éj.
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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Analysis of a set of update transactions T. Against a database consisting of a set of data partitions results in a data partition graph, where the nodes are the data partitions, and the arcs are assigned in such a way that there is an arc from a data partition D, to another data partition DJ if and only if one can hnd a potential transaction in the database system that updates data elements in D.' and accesses reads or writes) data elements in Di. That is, Di - edj, 1°;éj.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
"synopsis" may belong to another edition of this title.
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Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.
Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.
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- PublisherForgotten Books
- Publication date2018
- ISBN 10 1332263364
- ISBN 13 9781332263363
- BindingPaperback
- Number of pages34
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Hierarchical Timestamping Algorithm (Classic Reprint)
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Forgotten Books
(2018)
ISBN 10: 1332263364
ISBN 13: 9781332263363
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Book Description Paperback. Condition: New. Print on Demand. Excerpt from Hierarchical Timestamping Algorithm. About the Publisher, Forgotten Books publishes hundreds of thousands of rare and classic books. This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value. The digital edition of all books may be viewed on our website before purchase. print-on-demand item. Seller Inventory # 9781332263363_0
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