Google Inc.

Cask Data, Inc.

Other

Derek Lewis Wood

Nitin Motgi

Albert Yen Shau

Jonathan Michael Gray

Christopher Gianelloni

Rohit Sarma Nistala

Poorna Chandra Gowda Bannikkuppe Ramachandra

A processing device receives a first cluster management operation request, wherein the first cluster management operation request is for a deployment operation of a first cluster and comprises a cluster template, a specified number of nodes to deploy and a configuration. The processing device determines a plurality of constraints from at least one of the cluster template or the configuration. The processing device deterministically solves for and outputs a first cluster layout comprising the specified number of nodes, each of the specified number of nodes comprising a hardware type, an image type and one or more services, wherein the first cluster layout satisfies the plurality of constraints.

Solver for cluster management system

A processing device executing a provisioner requests a node level task from a server. The processing device receives an assignment of a first node level task, wherein the first node level task is associated with a cluster management operation for a first cluster. The processing device determines a first plugin capable of performing the first node level task from a plurality of plugins, wherein each of the plurality of plugins comprises a self-contained program for performing a specific set of node level tasks. The processing device performs the first node level task by the first plugin, wherein the first node level task is an operation on a remote target host that does not include software associated with the provisioner. The processing device reports a result of the node level task to the server.

Provisioner for cluster management system

A processing device receives a starting cluster layout for a first cluster, a target cluster layout for the first cluster, and a cluster management operation for creating or modifying the first cluster. The processing device determines a plurality of node level tasks to transition the first cluster from the starting cluster layout to the target cluster layout, determines dependencies between the plurality of node level tasks, and determines an order for the plurality of node level tasks based on the cluster management operation and the dependencies. The processing device then creates an execution plan that divides the cluster management operation into the plurality of node level tasks in the determined order.

Planner for cluster management system

A collision avoidance sense and avoid capability for an aircraft or other vehicle that monitors a sphere or other safety zone/cocoon about the vehicle. A light-detecting camera or other sensor receives a signal return if any object enters the safety cocoon. Once an object is detected in the cocoon, a signal is sent to the onboard sense and avoid computer and corrective action is taken. The system is capable of autonomous operation, and is self-contained and does not require additional hardware installations on target vehicles. The size and shape of the safety cocoon monitored by the sensors adjusts according to the speed and motion vectors of the aircraft or other vehicle, so as to maximize efficient use of sensor capabilities and minimize the size, cost and power requirements of the system.

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Sunnyvale, CA, United States of America

Derek Lewis Wood