Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN. The method is performed in a kernel space of a first router at a first site. From a second router at a second site, the method receives, in an optimized data stream from a second site source device to a first site destination device, a file including compressed segments not yet stored by the first router, and copies the compressed segments to a memory shared with a decompression program in the first router's user space. For each compressed segment, the method receives a notification that a decompressed segment obtained by decompressing the compressed segment has been written to a disk storage of the first router, the notification including a block address for the decompressed segment, and updates a cache of the first router with an entry mapping the decompressed segment to the block address.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN connecting multiple sites each having at least one router. The method is performed in a kernel space of a first router at a first site. From a second router at a second site, the method receives, in an optimized data stream originating from a source device at the second site and destined to a destination device at the first site, a file including compressed segments not yet stored in a database of the first router. The method copies the compressed segments to a shared memory used with a decompression program operating in the first router's user space. For each compressed segment, the method receives, from the decompression program, a decompressed segment obtained by decompressing the compressed segment, and stores the decompressed segment in a kernel space memory for use in processing the file.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN. The method is performed in a kernel space of a first router at a first site. From a second router at a second site, the method receives, in an optimized data stream from a second site source device to a first site destination device, a file including compressed segments not yet stored by the first router, and copies the compressed segments to a memory shared with a decompression program in the first router's user space. For each compressed segment, the method receives a notification that a decompressed segment obtained by decompressing the compressed segment has been written to a disk storage of the first router, the notification including a block address for the decompressed segment, and updates a cache of the first router with an entry mapping the decompressed segment to the block address.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN that connects multiple sites each having at least one router. The method is performed at a first router at a first site. From a second router at a second site, the method receives a file, that includes a set of segment identifiers corresponding to a set of segments stored by the first router, in an optimized first data stream originating from a source device at the second site and destined to a destination device at the first site. For each segment identifier in the set, the method attempts to retrieve a corresponding segment from a kernel memory of the first router. When the corresponding segment is not stored in the kernel memory, the method performs an operation to DMA the segment into the kernel memory from a disk storage of the first router.

Abstract: Techniques for implementing a new transport layer for distributed and federated learning (and other use cases/applications) are provided. In one set of embodiments, the new transport layer provides partial, rather than complete, reliability in scenarios where some amount of data loss can be tolerated between senders and receivers. This allows the transport layer to implement features that significantly improve the speed and efficiency of network data transfers.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments provide a method of reducing network congestion in a virtual network. The method, at a first CFE of the virtual network, receives multiple encapsulated data packets of a data stream. The encapsulated data packets having been encapsulated by a second CFE, operating on a server of the virtual network. The second CFE identifies a load percentage of the server, sets explicit congestion notification (ECN) bits on a percentage of the data packets based on the load percentage of the server, and encapsulates each data packet. The first CFE determines whether to forward a new connection to the second CFE based at least on the percentage of data packets from the first CFE with the ECN bits set.

Abstract: Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.

Abstract: Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.