Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data centers ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: The distributed metering and monitoring service (DMMS) system provides a way to gather and maintain metrics data which remains distributed, until requested. The DMMS system uses messaging queues to scale the number of servers that may be monitored and metered to a hyperscale of greater than 10,000 servers. The DMMS system determines how many servers (nodes) to assign to a cluster, and uses a metric aggregator to collect and store metrics data for the nodes. The DMMS system creates message queues for the instances, injects instance identifiers into the cluster state data and metrics data, listens for request messages for metering information for instances, retrieves the metrics data for users identified by the instance identifiers stored locally at the nodes, and calculates the metering information for the instance.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data centers ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data center's ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: The distributed metering and monitoring service (DMMS) system provides a way to gather and maintain metrics data which remains distributed, until requested. The DMMS system uses messaging queues to scale the number of servers that may be monitored and metered to a hyperscale of greater than 10,000 servers. The DMMS system determines how many servers (nodes) to assign to a cluster, and uses a metric aggregator to collect and store metrics data for the nodes. The DMMS system creates message queues for the instances, injects instance identifiers into the cluster state data and metrics data, listens for request messages for metering information for instances, retrieves the metrics data for users identified by the instance identifiers stored locally at the nodes, and calculates the metering information for the instance.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data center's ability to execute operations quickly, under standardized protocols and with consistent quality of service.