International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Rodney Hugh Brown

Fred Allison Bower, Iii

Richard Edwin Harper

David Bryan Roberts

Thomas James Fox

Ketan K Shah

Tushar Dasharath Fadale

Qiao Neng Qian

Celia Anne Schreiber

Embodiments of the present invention provide a method, system and computer program product for signature based distributed inventory caching. In an embodiment of the invention, a for signature based distributed inventory caching includes polling from a centralized management solution an endpoint aggregating state information for different monitored resources, and receiving in response to the polling a signature for one or more of the monitored resources aggregated by the endpoint. The method also includes comparing the received signature to a signature stored in the solution in connection with the endpoint. In response to a determination that the compared signatures differ, the method includes updating a cache in the solution with state information for the endpoint, computing a new signature for the state information, and replacing the stored signature with the new signature. Otherwise the method includes bypassing any updating of the cache.

Signature based distributed inventory caching

Aspects of a distributed computing environment with remote data collection management include a management server, and a plurality of computer systems networked to and managed by the management server. Each of the plurality of computer systems includes a listening agent to receive process code from a management server and to control the periodic execution of the process code to collect data from the plurality of computer systems. The periodic execution occurs without requiring a connection to be maintained between the plurality of computer systems and the management server. Further, the data collected includes data collected from problem determination activities.

Distributed computing environment with remote data collection management

A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are re-ordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

Identifying temporal ambiguity in an aggregated log stream

A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are reordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

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Cary, NC, United States of America

Rodney Hugh Brown