Abstract:
Systems and methods are disclosed for handling log data from one or more applications, sensors or instruments by receiving heterogeneous logs from arbitrary/unknown systems or applications; generating regular expression patterns from the heterogeneous log sources using machine learning and extracting a log pattern therefrom; generating models and profiles from training logs based on different conditions and updating a global model database storing all models generated over time; tokenizing raw log messages from one or more applications, sensors or instruments running a production system; transforming incoming tokenized streams are into data-objects for anomaly detection and forwarding of log messages to various anomaly detectors; and generating an anomaly alert from the one or more applications, sensors or instruments running a production system.
Abstract:
In a software defined network having switches including first and last switches and intermediate switches, wherein a default routing path exists between the first and last switches, a system and method are provided for computing path latency. The method includes inserting a respective monitoring rule(s) in each switch, mandating for each switch, forwarding a received rule matching packet to a next switch, and further mandating for the first switch and the last switch, sending a PacketIn message to a controller. The method includes inserting, in each switch, a respective monitoring probe(s) matching the respective monitoring rule(s) in a same switch to initiate mandates specified by the respective monitoring rule(s) in the same switch responsive to an arrival of the packet thereat. The method includes time-stamping the PacketIn messages to generate PacketIn timestamps, aggregating the PacketIn timestamps, and estimating the path latency from an aggregation of PacketIn timestamps.
Abstract:
Methods and systems for network management include performing path regression to determine an end-to-end path across physical links for each data flow in a network. A per-flow utilization of each physical link in the network is estimated based on the determined end-to-end paths. A management action is performed in the network based on the estimated per-flow utilization.
Abstract:
A computer implemented method for network monitoring includes providing network packet event characterization and analysis for network monitoring that includes supporting summarization and characterization of network packet traces collected across multiple processing elements of different types in a virtual network, including a trace slicing to organize individual packet events into path-based trace slices, a trace characterization to extract at least 2 types of feature matrix describing those trace slices, and a trace analysis to cluster, rank and query packet traces based on metrics of the feature matrix.
Abstract:
Methods and systems for detecting malicious processes include modeling system data as a graph comprising vertices that represent system entities and edges that represent events between respective system entities. Each edge has one or more timestamps corresponding respective events between two system entities. A set of valid path patterns that relate to potential attacks is generated. One or more event sequences in the system are determined to be suspicious based on the graph and the valid path patterns using a random walk on the graph.
Abstract:
Systems and methods for controlling legacy switch routing in one or more hybrid networks of interconnected computers and switches, including generating a network underlay for the one or more hybrid networks by generating a minimum spanning tree (MST) and a forwarding graph (FWG) over a physical network topology of the one or more hybrid networks, determining an optimal path between hosts on the FWG by optimizing an initial path with a minimum cost mapping, and adjusting the initial path to enforce the optimal path by generating and installing special packets in one or more programmable switches to trigger installation of forwarding rules for one or more legacy switches.
Abstract:
Methods and systems for performance inference include inferring an internal application status based on a unified call stack trace that includes both user and kernel information by inferring user function instances. A calling context encoding is generated that includes information regarding function calling paths. Application performance is analyzed based on the encoded calling contexts. The analysis includes performing a top-down latency breakdown and ranking calling contexts according to how costly each function calling path is.
Abstract:
A method and system for constructing behavior queries in temporal graphs using discriminative sub-trace mining. The method includes generating system data logs to provide temporal graphs, wherein the temporal graphs include a first temporal graph corresponding to a target behavior and a second temporal graph corresponding to a set of background behaviors, generating temporal graph patterns for each of the first and second temporal graphs to determine whether a pattern exists between a first temporal graph pattern and a second temporal graph pattern, wherein the pattern between the temporal graph patterns is a non-repetitive graph pattern, pruning the pattern between the first and second temporal graph patterns to provide a discriminative temporal graph, and generating behavior queries based on the discriminative temporal graph.
Abstract:
Systems and methods for controlling legacy switch routing in one or more hybrid networks of interconnected computers and switches, including generating a network underlay for the one or more hybrid networks by generating a minimum spanning tree (MST) and a forwarding graph (FWG) over a physical network topology of the one or more hybrid networks, determining an optimal path between hosts on the FWG by optimizing an initial path with a minimum cost mapping, and adjusting the initial path to enforce the optimal path by generating and installing special packets in one or more programmable switches to trigger installation of forwarding rules for one or more legacy switches.
Abstract:
A computer implemented method for network monitoring includes providing network packet event characterization and analysis for network monitoring that includes supporting summarization and characterization of network packet traces collected across multiple processing elements of different types in a virtual network, including a trace slicing to organize individual packet events into path-based trace slices, a trace characterization to extract at least 2 types of feature matrix describing those trace slices, and a trace analysis to cluster, rank and query packet traces based on metrics of the feature matrix.