Microsoft Technology Licensing, LLC

Gil Lapid Shafriri

Craig Henry Wittenberg

Jack Wilson Stokes, Iii

Gaurav Jagtiani

Christian Seifert

Timothy William Burrell

Sathyanarayana Singh

Himanshu Chandola

Rohit Pandey

Durmus Ugur Karatay

Methods, systems, and computer program products are described herein for minimizing the downtime for nodes in a network-accessible server set. The downtime may be minimized by determining an optimal timeout value for which a fabric controller waits to perform a recovery action. The optimal timeout value may be determined for each cluster in the network-accessible server set. The optimal timeout value advantageously reduces the overall downtime for customer workloads running on a node for which contact has been lost. The optimal timeout value for each cluster may be based on a predictive model based on the observed historical patterns of the nodes within that cluster. In the event that an optimal timeout value is not determined for a particular cluster (e.g., due to a lack of observed historical patterns), the fabric controller may fall back to a less than optimal timeout value.

Determining for an optimal timeout value to minimize downtime for nodes in a network-accessible server set

Identify a set or session of processes as having certain characteristics. A method obtains a known set or session of processes, wherein the known set or session of processes has the certain characteristics. A set or session of processes to be evaluated is obtained. A weighted similarity measure is performed between the known set or session of processes and the set or session of processes to be evaluated. The weighted similarity measure is performed element wise, where a comparison is performed for each defined element in the set or session of processes to be evaluated against elements in the known set or session of processes.

Large scale malicious process detection

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Redmond, WA, United States of America

Gil Lapid Shafriri