Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a scalable framework to retrieve statistics relating different aggregated entities. In some embodiments, the aggregated entity is a pair of ports. The pair of ports can be physical ports of one or more physical forwarding elements. The pair of ports can be logical ports of one or more logical forwarding elements. In some embodiments, the aggregated entity is a machine or a group of machines. In some embodiments, the aggregated entity is an access control list (ACL).

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a scalable framework to retrieve statistics relating different aggregated entities. In some embodiments, the aggregated entity is a pair of ports. The pair of ports can be physical ports of one or more physical forwarding elements. The pair of ports can be logical ports of one or more logical forwarding elements. In some embodiments, the aggregated entity is a machine or a group of machines. In some embodiments, the aggregated entity is an access control list (ACL).

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Methods and systems disclosed in the current application are directed to efficient distribution of resource-availability information with respect to individual computer systems within a distributed computer system in order to facilitate various types of computational tasks, including configuration and management tasks and facilities. Certain of these implementations are based on highly efficient, lockless, message-based information-distribution methods and subsystems that transmission of messages at a frequency computed from a computed level of resource availability.

Abstract: Methods and systems disclosed in the current application are directed to efficient distribution of resource-availability information with respect to individual computer systems within a distributed computer system in order to facilitate various types of computational tasks, including configuration and management tasks and facilities. Certain of these implementations are based on highly efficient, lockless, message-based information-distribution methods and subsystems that transmission of messages at a frequency computed from a computed level of resource availability.