Vmware, Inc.

Jon Herlocker

Nicholas Kushmerick

Junyuan Lin

Mayank Agarwal

Darren Brown

Ramsés V Morales

Matt Roy McLaughlin

Eyal Maderer

The current document is directed to systems, and methods incorporated within the systems, that carry out probability-distribution-based analysis of log-file entries. A monitoring subsystem within a distributed computer system uses probability-distribution-based analysis of log-file entries to detect changes in the state of the distributed computer system. A log-file-analysis subsystem within a distributed computer system uses probability-distribution-based analysis of log-file entries to identify subsets of log-file entries that predict anomalies and impending problems in the distributed computer system. In many implementations, a numerical comparison of probability distributions of log-file-entry types is used to detect state changes in the distributed computer system.

Probability-distribution-based log-file analysis

The current document is directed to methods and systems that process, classify, efficiently store, and display large volumes of event messages generated in modern computing systems. In a disclosed implementation, event messages are assigned types and transformed into event records with well-defined fields that contain field values. Recurring patterns of event messages, referred to as 'transactions,' are identified within streams or sequences of time-associated event messages and streams or sequences of time-associated event records.

Method and system for identifying event-message transactions

The current document is directed to an integrated application-aware load-balancing component of a distributed computer system. The integrated application-aware load-balancing component is, in a described embodiment, incorporated within a distributed application that serves as a control component of multiple physical computers within a distributed computer system. The integrated application-aware load-balancing component includes a layer-4 load-balancing subcomponent that distributes communications connections initiated by remote client computers among computational nodes within the distributed computer system in order to balance the computational load applied to the distributed application and distributed computer system by the remote client computers. The integrated application-aware load-balancing component additionally includes a layer-7 load-balancing subcomponent that periodically and locally computes weights for each computational node and redistributes client requests according to the computed weights among cluster nodes within the distributed computer system in order to enhance balancing of the computational load applied to the distributed service application and distributed computer system by the remote client computers. Operation of the layer-4 and layer-7 load balancers are controlled and/or adjusted by rules and policies informed by performance and operational characteristics of the distributed service application and distributed computer system.

Node selection for message redistribution in an integrated application-aware load balancer incorporated within a distributed-service-application-controlled distributed computer system

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Seattle, WA, United States of America

Jon Herlocker