Add to ORKGWe present an approach and implementation for run-time correlation of large volumes of log data and symptom matching of know issues in the context of large enterprise applications. Our solution provides for (a) automatic data collection, (b) data normalisation into a common format, (c) run time correlation and analysis of the data to give a coherent view of system behaviour at run-time and (d) a symptom matching mechanism that can identify known errors in the correlated data on the fly. We have implemented our approach in the form of the Run-Time Correlation Engine (RTCE) and have applied it in a real industry test
This paper discusses the emerging area of autonomic computing and its implications for the evolution...
Event correlation plays a key role in network management. It is the ability in networkmanagement sys...
Abstract—This paper presents a methodology and a system, named LogMaster, for mining correlations of...
We present an approach and implementation for run-time correlation of large volumes of log data and ...
Efficient system management requires continuous knowledge about the state of system and application ...
In many embedded systems, we face the problem of correlating signals characterising device operation...
A complex running system, such as the NOvA online data acquisition, consists of a large number of di...
Scheduling techniques based upon worst case execution times, as are commonly used in real-time appli...
In software development in recent years projects became large-scaled and complex. Especially in the ...
Event data from different parts of a system might be found recorded in event logs. Often the individ...
Log analysis is an important way to keep track of computers and networks. The use of automated anal-...
International audienceIn distributed systems and in particular in industrial SCADA environments, ale...
System logs are the rst source of information available to system designers to analyze and troublesh...
Dependency derivation and the creation of dependency graphs are critical tasks for increasing the un...
Monitoring software behaviour is being done in various ways. Log messages are being output by almost...
This paper discusses the emerging area of autonomic computing and its implications for the evolution...
Event correlation plays a key role in network management. It is the ability in networkmanagement sys...
Abstract—This paper presents a methodology and a system, named LogMaster, for mining correlations of...
We present an approach and implementation for run-time correlation of large volumes of log data and ...
Efficient system management requires continuous knowledge about the state of system and application ...
In many embedded systems, we face the problem of correlating signals characterising device operation...
A complex running system, such as the NOvA online data acquisition, consists of a large number of di...
Scheduling techniques based upon worst case execution times, as are commonly used in real-time appli...
In software development in recent years projects became large-scaled and complex. Especially in the ...
Event data from different parts of a system might be found recorded in event logs. Often the individ...
Log analysis is an important way to keep track of computers and networks. The use of automated anal-...
International audienceIn distributed systems and in particular in industrial SCADA environments, ale...
System logs are the rst source of information available to system designers to analyze and troublesh...
Dependency derivation and the creation of dependency graphs are critical tasks for increasing the un...
Monitoring software behaviour is being done in various ways. Log messages are being output by almost...
This paper discusses the emerging area of autonomic computing and its implications for the evolution...
Event correlation plays a key role in network management. It is the ability in networkmanagement sys...
Abstract—This paper presents a methodology and a system, named LogMaster, for mining correlations of...