Microsoft Technology Licensing, LLC

Richard Mortier

Rebecca Isaacs

Paul Barham

Timothy Lawrence Harris

Richard John Black

Austin N Donnelly

Moises Goldszmidt

Antony Rowstron

Dushyanth Narayanan

John Philip MacCormick

Eric Koskinen

Hosts or end-systems residing at the edges of a network gather data about the traffic they transmit into and receive from the network. The network's routing protocol (typically a link-state protocol such as OSPF) is monitored and routing data or packets are used to recover the network's current status and topology. This data can be collected, fused, and maintained and a platform, preferably distributed, can be provided to query the data, thus enabling a variety of network management applications.

Distributed network management

Methods of querying a large number of endsystems are described in which metadata is replicated between endsystems. When a query is injected, an available endsystem receives a message relating to the query which identifies a range of endsystems for which that available endsystem is responsible. The available endsystem then generates completeness data for the range of endsystems based on data stored at the endsystem and this completeness data is transmitted to the sender of the message. The methods may be implemented using device-executable instructions which may be stored on device readable media.

Infrastructure to disseminate queries and provide query results

A method of optimizing code which invokes methods on a system across an interface is described. High level information relating to the system is accessed and this information is used in performing code transformations in order to optimize the code.

Code optimization across interfaces

An activity model is generated at a computer. The activity model may be generated by monitoring incoming and outgoing data in the computer. The collected data is analyzed to form a graph that describes and predicts what output is generated in response to received input. Later, a window of input and output data is collected from the computer. This collected window of data is used to query the activity model. The graph in the activity model is then used to give the probability that the collected window of data was collected from the computer used to generate the activity model. A high probability indicates that the computer is performing normally, while a low probability indicates that the computer may behaving erratically and there may be a problem with the computer.

Dynamic activity model of network services

Growing community of inventors

Cambridge, United Kingdom

Richard Mortier