Oracle International Corporation

Michal Aleksander Karczmarek

Jagwinder Singh Brar

Peter John Hill

Myron Decker King

Steven Chervets

Eugene Nalimov

Abhay Patil

Eugen Enache

Techniques for performing distributed rate limiting in networks in a cloud environment are described for determining an amount of network bandwidth available to be processed by flow control nodes within a cloud network for a first time period, determining a bandwidth allocation for traffic classes for the first time period, determining, a portion of the bandwidth allocation for the flow control nodes, providing, data to the flow control nodes, where the data indicates the portion of the bandwidth allocation for the traffic classes, and receiving, second data that indicates an amount of network traffic routed during the first time period by individual ones of the flow control nodes.

Distributed rate limiting

A Network Virtualization Device (NVD) executes a set of Virtual Network Interface Cards (VNICs). The set of VNICs includes a first VNIC that forwards packets for a set of one or more packet flows. The NVD stores a first VNIC-related information that includes information identifying a first set of one or more packet flows and associated state information The NVD in response to determining that the state information for the first VNIC is to be synchronized with another NVD, identifies a first backup NVD for the first VNIC, wherein the first backup NVD is a backup for the first VNIC, and communicates to the first backup NVD, a portion of the state information stored by the NVD for the first VNIC.

Techniques for replicating state information for high availability

Techniques described herein maintain network state information of network traffic across host machines processing network traffic. A method described herein includes replicating the network state information of packet flows within a distributed caching mechanism over a cluster of host machines. Specifically, the method includes caching, maintaining, and replicating the network state information of packet flows and information about one or more host machines caching the network state information within the cluster of host machines.

Managing network state for high flow availability within distributed network platform

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Newton, MA, United States of America

Michal Aleksander Karczmarek