TRACKING THE DYNAMICS OF APPLICATION-CENTRIC CLUSTERS IN A VIRTUALIZED DATACENTER

摘要

For a managed network including multiple nodes providing multiple services and executing multiple applications some embodiments provide a method for generating groupings of network addresses associated with different applications or services. The method analyzes network traffic patterns using a probabilistic topic modeling algorithm to generate the groupings of network addresses. In some embodiments, data is collected and analyzed periodically. A network administrator defines the granularity of the time stamps in some embodiments to monitor changes in network traffic patterns over time for each network address or node and/or for the network as a whole. For each network address or node, a probability distribution over the topics at a given time is stored in some embodiments. The stored distributions are then used to determine a divergence over time of the application or service provided by the network address or node. Additionally, the stored distributions can be used to detect anomalous behavior.