Abstract: Instances of a same application execute on different respective hosts in a cloud computing environment. Instances of a monitor application are distributed to concurrently execute with each application instance on a host in the cloud environment, which provides user access to the application instances. The monitor application may be generated from a specification, which may define properties of the application/cloud to monitor and rules based on the properties. Each rule may have one or more conditions. Each monitor instance running on a host, monitors execution of the corresponding application instance on that host by obtaining from the host information regarding values of properties on the host per the application instance. Each monitor instance may evaluate the local host information or aggregate information collected from hosts running other instances of the monitor application, to repeatedly determine whether a rule condition has been violated. On violation, a user-specified handler is triggered.

Abstract: One or more computers manage power consumption in a plurality of computers by repeatedly evaluating power consumption of pluralities of computers such that any given plurality of computers is evaluated by aggregating indicia of power consumption of the individual computers in the given plurality. The evaluation identifies or predicts pluralities of computers that are over-consuming power and identifies pluralities of computers that are under-consuming power. A first plurality of computers identified as over-consuming power are sent messages to instruct some of its comprising computers or virtual machines (VMs) to lower their computational workload. A second plurality of computers identified as under-consuming power are sent messages instructing the other computers to increase their computation workload.

Abstract: This patent application relates to an agile network architecture that can be employed in data centers, among others. One implementation provides a virtual layer-2 network connecting machines of a layer-3 infrastructure.

Abstract: The described implementations relate to energy-aware server management. One implementation involves an adaptive control unit configured to manage energy usage in a server farm by transitioning individual servers between active and inactive states while maintaining response times for the server farm at a predefined level.

Abstract: Techniques are disclosed for allocation of resources in a distributed computing system. For example, a method for allocating a set of one or more components of an application to a set of one or more resource groups includes the following steps performed by a computer system. The set of one or more resource groups is ordered based on respective failure measures and resource capacities associated with the one or more resource groups. An importance value is assigned to each of the one or more components, wherein the importance value is associated with an affect of the component on an output of the application. The one or more components are assigned to the one or more resource groups based on the importance value of each component and the respective failure measures and resource capacities associated with the one or more resource groups, wherein components with higher importance values are assigned to resource groups with lower failure measures and higher resource capacities.