Identifying and diagnosing anomalies in application behavior is critical to delivering reliable
application-level performance. In this paper we introduce a strategy to detect anomalies and …

Previous distributed anomaly detection efforts have operated on summary statistics gathered
from each node. This has the advantage that the audit trail is limited in size since event sets …

Large scale production computing grids introduce new challenges in debugging and
troubleshooting. A user that submits a workload consisting of tens of thousands of jobs to a …

Detecting the changes is the common issue in many application fields due to the non-
stationary distribution of the applicative data, eg, sensor network signals, web logs and grid …

Developers and users of high-performance distributed systems often observe performance
problems such as unexpectedly low throughput or high latency. To determine the source of …

Both users and administrators of computing grids are presented with enormous challenges
in debugging and troubleshooting. Diagnosing a problem with one application on one …

This paper presents the problem of intrusion detection in grid environments. Current
intrusion detection technology is limited in providing protection against the attacks that may …

This paper describes a novel approach to fault detection and prediction on the grid based on
data mining techniques. Data mining techniques are here applied as a mean to effectively …

Grids promote new modes of scientific collaboration and discovery by connecting distributed
instruments, data and computing facilities. Because many resources are shared, application …

Malicious manipulation of jobs results endangers the efficiency and performance of grid
computing applications. The presence of nodes interested in depreciating jobs results may …