A system and method for supporting load balancing in a multi-tenant cluster environment, in accordance with an embodiment. One or more tenants can be supported and each associated with a partition, which are each in turn associated with one or more end nodes. The method can provide a plurality of switches, the plurality of switches comprising a plurality of leaf switches and at least one switch at another level, wherein each of the plurality of switches comprise at least one port. The method can assign each node a weight parameter, and based upon this parameter, the method can route the plurality of end nodes within the multi-tenant cluster environment, wherein the routing attempts to preserve partition isolation.

The present invention provides a circuitry within a router or a switch, wherein the circuitry comprises a priority decision circuitry and a per-stream filtering and policing circuitry. The priority decision circuitry is configured to determine a priority of a frame received from a port of the router or the switch. The per-stream filtering and policing circuitry is configured to classify the frame into a first-type frame, a second-type frame or a third-type frame, wherein if the frame is determined as the first-type frame, the per-stream filtering and policing circuitry forwards the frame; if the frame is determined as the third-type frame, the per-stream filtering and policing circuitry discards the frame; and if the frame is determined as the second-type frame, the per-stream filtering and policing circuitry changes the priority of the frame, and the per-stream filtering and policing circuitry forwards the frame with the changed priority.

Graded throttling for network-on-chip traffic, including: calculating, by an agent of a network-on-chip, a number of outstanding transactions issued by the agent; determining that the number of outstanding transactions meets a threshold; and implementing, by the agent, in response to the number of outstanding transactions meeting the threshold, a traffic throttling policy.

A system and method for supporting network isolation in a multi-tenant cluster environment. An exemplary method can support one or more tenants, and can associate each of the one or more tenants with a partition of a plurality of partitions, and can also associate each of the plurality of partitions with one or more nodes of a plurality of nodes, each of the plurality of nodes being associated with a leaf switch of a plurality of switches. The method can mark each of the plurality of partitions with a policy parameter. The method can assign each node of the plurality of nodes a partitioning order based on the marked on the partition associated with each node. Finally, the method can, based at least upon the marking of the partition of the plurality of partitions, generate one or more linear forwarding tables for use in the multi-tenant cluster environment.

A system and method for supporting load balancing in a multi-tenant cluster environment, in accordance with an embodiment. One or more tenants can be supported and each associated with a partition, which are each in turn associated with one or more end nodes. The method can provide a plurality of switches, the plurality of switches comprising a plurality of leaf switches and at least one switch at another level, wherein each of the plurality of switches comprise at least one port. The method can assign each node a weight parameter, and based upon this parameter, the method can route the plurality of end nodes within the multi-tenant cluster environment, wherein the routing attempts to preserve partition isolation.

Described in this document, among other things, is an overload protection system that can protect data sinks from overload by controlling the volume of data sent to those data sinks in a fine-grained manner. The protection system preferably sits in between edge servers, or other producers of data, and data sinks that will receive some or all of the data. Preferably, each data sink owner defines a policy to control how and when overload protection will be applied. Each policy can include definitions of how to monitor the stream of data for overload and specify one or more conditions upon which throttling actions are necessary. In embodiments, a policy can contain a multi-part specification to identify the class(es) of traffic to monitor to see if the conditions have been triggered.

Graded throttling for network-on-chip traffic, including: calculating, by an agent of a network-on-chip, a number of outstanding transactions issued by the agent; determining that the number of outstanding transactions meets a threshold; and implementing, by the agent, in response to the number of outstanding transactions meeting the threshold, a traffic throttling policy.

Methods, computer program products, and systems are presented. The methods include, for instance: a gateway stack that includes a master, a backup, and at least one slave amongst nodes of the GS based on an election pursuant to a gateway stack protocol. The gateway stack provides gateway services for a Network Virtualization over Layer 3 (NVO3) network in a fail-safe manner by utilizing all of the nodes in the gateway stack. A data interface between the gateway stack and a switch is aggregated to evenly distribute inbound packets amongst the nodes of the gateway stack.

A system and method for supporting load balancing in a multi-tenant cluster environment, in accordance with an embodiment. One or more tenants can be supported and each associated with a partition, which are each in turn associated with one or more end nodes. The method can provide a plurality of switches, the plurality of switches comprising a plurality of leaf switches and at least one switch at another level, wherein each of the plurality of switches comprise at least one port. The method can assign each node a weight parameter, and based upon this parameter, the method can route the plurality of end nodes within the multi-tenant cluster environment, wherein the routing attempts to preserve partition isolation.

Described in this document, among other things, is an overload protection system that can protect data sinks from overload by controlling the volume of data sent to those data sinks in a fine-grained manner. The protection system preferably sits in between edge servers, or other producers of data, and data sinks that will receive some or all of the data. Preferably, each data sink owner defines a policy to control how and when overload protection will be applied. Each policy can include definitions of how to monitor the stream of data for overload and specify one or more conditions upon which throttling actions are necessary. In embodiments, a policy can contain a multi-part specification to identify the class(es) of traffic to monitor to see if the conditions have been triggered.