Emc Corporation

Shuzi Chen

Serge Marokhovsky

Sadasiva Prathab

Andrew S Becher

Zakir G Magdum

Anthony Ward

Deployment of new elements in a computer network can result in development of patch kits adapters, and other software and trigger corresponding regressive test efforts. In a storage area network, a method is disclosed for defining a general, extensible model of a manageable entity for use in management of the entity. The method includes obtaining a set of attribute values related to the manageable entity in relation to the storage area network. A deployment engine identifies corresponding entity categories within a storage area network entity model that contains attribute definitions that correspond to respective attribute values in the set of attribute values obtained from the manageable entity. The deployment engine assigns the respective attribute values of the manageable entity to the corresponding respective attribute definitions identified in the model. The deployment engine then determines if all attribute values of the manageable entity have been assigned. If unassigned attribute values remain, a classification processor defines new entity categories to contain new attribute definitions, and assigns the unassigned attributes value to the new attribute definitions contained in the new entity category.

Methods and apparatus providing an extensible manageable entity model for a network

Database performance assessment typically entails logging and capturing utilities which tend to gather large quantities of unwieldy data leading to a cumbersome and indefinite analysis. A system and method for database performance analysis includes periodic sampling of pending database requests, rather than exhaustive monitoring and capturing all database access traffic, to identify areas of contention. A database access queue is periodically sampled, or scanned, to gather a snapshot of pending requests of database transactions. Pending requests are aggregated by an aggregating process which aggregates, the samples with previous samples corresponding to the same transaction. Correlating the aggregated samples identifies transactions which have been pending the longest and identifies tables and segments in the database which have a relatively high number of pending transactions. By periodically sampling, rather than exhaustively logging all requests, CPU intrusiveness is minimized, trivial, benign transactions are eliminated from the output, and the most burdened tables and segments are identified to enable a database administrator to make informed decisions about remedial actions.

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Newton, MA, United States of America

Shuzi Chen