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公开(公告)号:US11902097B2
公开(公告)日:2024-02-13
申请号:US18305461
申请日:2023-04-24
Applicant: Juniper Networks, Inc.
Inventor: Jisheng Wang , Ruchit Rajkumar Mehta , Kaushik Adesh Agrawal , Patrick Timmons , Patrick J. MeLampy , Michael Baj
IPC: G06F15/173 , H04L41/0893 , H04L41/16 , H04L41/5009
CPC classification number: H04L41/0893 , H04L41/16 , H04L41/5009
Abstract: An example method includes receiving, by an SD-WAN system, WAN link characterization data for a plurality of WAN links of the SD-WAN system over a time period; and for each site of a plurality of sites of the SD-WAN system, generating, by the SD-WAN system, a local policy for the site, wherein generating the local policy is based on a machine learning model trained with the WAN link characterization data for the plurality of WAN links, and providing the local policy to an SD-WAN edge device of the site.
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公开(公告)号:US20230370365A1
公开(公告)日:2023-11-16
申请号:US18191809
申请日:2023-03-28
Applicant: Juniper Networks, Inc.
Inventor: Michael Baj , Patrick J. MeLampy , Ryan Koss , Kaushik Adesh Agrawal , Abilash Menon , Michael John Adams , Sarah V. Jaffer
IPC: H04L45/302 , H04L45/12 , H04L45/24 , H04L45/00 , H04L9/40
CPC classification number: H04L45/302 , H04L45/123 , H04L45/24 , H04L45/38 , H04L45/566 , H04L63/166
Abstract: A first router generates session establishment metrics for use in network path selection. For example, a plurality of routers connect a client device to a network service instance hosted by a server. A first router is connected to the network service instance via first and second paths. The first router receives session performance requirements for a session between the client device and the network service instance. The first router forwards, along the first path, network traffic for the session by modifying a first packet of the session to include a session identifier for the session. The first router determines that session establishment metrics for the session do not satisfy the session performance requirements. In response, the first router forwards, along the second path, the network traffic for the session by modifying a second packet of the session to include the session identifier for the session.
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公开(公告)号:US11799779B1
公开(公告)日:2023-10-24
申请号:US17452533
申请日:2021-10-27
Applicant: Juniper Networks, Inc.
Inventor: Anna Yungelson , Dennis Gordon Montgomery , Kaushik Adesh Agrawal
IPC: H04L45/745 , H04L45/00 , H04L67/142 , H04L45/12 , H04L67/561
CPC classification number: H04L45/745 , H04L45/123 , H04L45/38 , H04L45/566 , H04L67/142 , H04L67/561
Abstract: Techniques are disclosed for generating session-specific packet capture records. In one example, a first network device receives a first packet of a session between first and second client devices, the session comprising forward and reverse packet flows. The first network device modifies the first packet to include metadata comprising a packet capture indicator that indicates whether packet capture is to be performed for the session. The first network device stores at least a portion of the first packet and each subsequent packet of the session and forwards the modified first packet. A second network device receives the modified first packet and, based on the packet capture indicator, stores at least a portion of the first packet and each subsequent packet of the session in a session-specific packet capture record. The first and second network devices may generate, from the stored packet data, a packet capture record for the session.
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公开(公告)号:US20230134539A1
公开(公告)日:2023-05-04
申请号:US17452962
申请日:2021-10-29
Applicant: Juniper Networks, Inc.
Inventor: Jisheng Wang , Ruchit Rajkumar Mehta , Kaushik Adesh Agrawal , Patrick Timmons , Patrick J. MeLampy , Michael Baj
IPC: H04L12/24
Abstract: An example method includes receiving, by an SD-WAN system, WAN link characterization data for a plurality of WAN links of the SD-WAN system over a time period; and for each site of a plurality of sites of the SD-WAN system, generating, by the SD-WAN system, a local policy for the site, wherein generating the local policy is based on a machine learning model trained with the WAN link characterization data for the plurality of WAN links, and providing the local policy to an SD-WAN edge device of the site.
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