Computer Associates Think, Inc.

Ca, Inc.

Energy Internet Corporation

Sun Microsystems, Inc.

Robert A Gingell, Jr

Sanjay R Radia

Jerry R Jackson

David A Henseler

James D Engquist

Michael John Lamb

Shankar Ramamurthy

Michael Steven Walker

Rodrick Ison Evans

Sudhir Ramtirth Joshi

Jeanne C Ohren

Disclosed techniques include energy management based on modularized energy control using pooling. Operating data is obtained from a plurality of energy modules within an energy storage system. The plurality of energy modules is pooled. One or more operating goals are obtained for the plurality of energy modules. The operating goals can be based on cost, availability, or energy module status. One or more processors are used to analyze the operating data, the one or more operating goals, energy demand, and energy module operating health. The operation of one or more of the plurality of energy modules is controlled based on the analysis. The energy modules can be a pooled homogeneous bank of energy modules. The homogeneous banks can be pooled into heterogeneous energy modules. The pools can include dynamically added energy module peers.

Modularized energy management using pooling

Disclosed techniques include power management across point of source to point of load. Energy is obtained from points of energy generation, where data obtained at a time of energy generation includes information on energy and metadata about the energy. Connection is enabled from the points of energy generation to a large-scale energy storage subsystem. Load information is received from points of load, where the points of load are connected to an energy grid. Processors are used to calculate an energy control policy, based on information on the energy, the energy metadata, availability of the large-scale energy storage subsystem, and the load information. Routing of the energy is controlled from the points of energy generation to the points of load based on the energy control policy. The large-scale energy storage subsystem is controlled based on the energy control policy.

Power management across point of source to point of load

In general, this disclosure describes techniques of managing resources in a service-oriented distributed computing system. As described in this disclosure, a control node automatically manages the system such that the system has sufficient capacity to satisfy an agreement to provide a given level of a service. In order to automatically manage the system, the control node evaluates the current capacity levels of resources in the system. The current capacity levels are indicative the capacity of resources to perform certain acts. The capacity of the resources to perform these acts may be indicative of whether the system is able to provide the given level of the service. Because resources may be deployed in chains, the capacities of resources to perform the certain acts may be defined to be dependent on the capacities of other resources to perform other acts.

Interdependent capacity levels of resources in a distributed computing system

In general, this disclosure describes techniques of managing resources in a service-oriented distributed computing system. As described in this disclosure, a control node automatically manages the system such that the system has sufficient capacity to satisfy an agreement to provide a given level of a service. In order to automatically manage the system, the control node evaluates the current capacity levels of resources in the system. The current capacity levels are indicative the capacity of resources to perform certain acts. The capacity of the resources to perform these acts may be indicative of whether the system is able to provide the given level of the service. Because capacities provided by the resources change as the resources start, the control node uses a predicted pending capacity function to evaluate whether resources that are currently starting will be sufficient to satisfy the level of the service when completely started.

Evaluation of current capacity levels of resources in a distributed computing system

In general, this disclosure describes techniques of managing resources in a service-oriented distributed computing system. As described in this disclosure, one or more control nodes provide for the efficient and automated allocation and management of resources within the distributed computing system. In order to provide automated allocation and management of computing functions and resources, a control node uses a set of governors. This set of governors includes a set of service governors to govern services used in the distributed computing system. The set of governors also includes a set of resource governors that govern individual resources of the services in the distributed computing system. The service governors and the resource governors may be implemented using finite state machines.

Autonomic control of a distributed computing system using dynamically assembled resource chains

Autonomic control of a distributed computing system using finite state machines

A distributed computing system conforms to a multi-level, hierarchical organizational model. One or more control nodes provide for the efficient and automated allocation and management of computing functions and resources within the distributed computing system in accordance with the organization model. A user interacts with the control nodes to logically define the hierarchical organization of distributed computing system. The control node includes an automation subsystem having one or more rule engines that provide autonomic control of the application nodes in accordance with a set of one or more rules. An application governor uses a set of software image objects to configure an application on an application node. Each of the application software image objects share a common interface and are therefore interchangeable.

Automated deployment and configuration of applications in an autonomically controlled distributed computing system

A method and apparatus for providing versioning information for a plurality of software objects. When an object is compiled and linked, at build time, the link-editor creates a version definition section and a version symbol section in the object that specify the global symbols defined in various versions of the object. The object can be a shared object, a relocatable object, or a dynamic executable object. When an application software program is linked with the versioned object, at build time, the linker-editor creates a version dependency section in the resulting dynamic executable object that specifies which version of the object is required for execution of the software application program. At runtime, the runtime-linker determines whether all required versions of the object are present before the program is executed. The invention allows the definition of 'weak' versions that do not contain new global symbols. The invention also allows the explicit specification of the version of an object to which the software application program should be linked.

Growing community of inventors

Sunnyvale, CA, United States of America

Robert A Gingell, Jr