Microsoft Technology Licensing, LLC

Panos Periorellis

Eldar Akchurin

Olivier Nano

Ivo José Garcia Dos Santos

Ivo Jose Garcia Dos Santos

Lucas Bordeaux

Joris Claessens

Oliver Nano

Jeremiah Spradlin

Christian Kratzsch

Adi Ionel Botea

A monitor-mine-manage cycle is described, for example, for managing a data center, a manufacturing process, an engineering process or other processes. In various example, the following steps are performed as a continuous automated loop: receiving raw events from an observed system; monitoring the raw events and transforming them into complex events; mining the complex events and reasoning on results; making a set of proposed actions based on the mining; and managing the observed system by applying one or more of the proposed actions to the system. In various examples, the continuous automated loop proceeds while raw events are continuously received from the observed system and monitored. In some examples an application programming interface is described comprising programming statements which allow a user to implement a monitor-mine-manage loop.

Monitor-mine-manage cycle

Methods of managing distributed analytics on device groups are described. In an embodiment, a management service within a distributed analytics system provides an interface to allow a user to define a group of devices based on a property of the devices. When the property of a device in the system satisfies the criterion specified by the user, the device is added to the group and the device may subsequently be removed from the group if the device no longer satisfies the criterion. Once a group has been defined, the management service enables users to specify management operations, such as creating, starting, stopping or deleting queries or management operations relating to other entities of end devices, which are to be implemented on all the devices in the group and the management service propagates the operation to all devices in the group, irrespective of their current connectivity status.

Managing distributed analytics on device groups

A method is provided herein for managing a plurality of computing entities. The method includes sending a dynamic attribute dependency to one or more of the computing entities. The dynamic attribute dependency specifies a constraint for performing the management operation based on a dynamic attribute of each of the one or more computing entities. Additionally, the method includes scheduling, based on the plan, an atomic task configured to perform the management operation on each of the one or more a computing entities based on whether the constraint is resolved. The method further includes performing the atomic task if the constraint is resolved.

Dynamic attribute resolution for orchestrated management

Managing groups of entities is described. In an embodiment an administrator manages operations on a plurality of entities by constructing a management scenario which defines tasks to be applied on a group of entities. In an example the management scenario includes information on dependencies between entities and information on entity attributes, for example operating system version or CPU usage. In an embodiment an entity management engine converts the tasks and dependencies in the scenario to a management plan. In an example the management plan is a list of operations and conditions to be respected in applying an operation to an entity. In an embodiment the plan can be validated to ensure there are no conflicts. In an embodiment the entity management engine also comprises a scheduler which runs tasks contained in the plan and monitors their outcome.

Managing groups of computing entities

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Aachen, Germany

Panos Periorellis