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公开(公告)号:US20230412265A1
公开(公告)日:2023-12-21
申请号:US17869997
申请日:2022-07-21
Applicant: Mellanox Technologies, Ltd.
Inventor: Paraskevas BAKOPOULOS , Ioannis (Giannis) PATRONAS , Nikolaos ARGYRIS , Dimitrios SYRIVELIS , Elad MENTOVICH , Dimitrios KALAVROUZIOTIS , Avraham GANOR , Nimer HAZIN
IPC: H04B10/038 , H04B10/112 , H04B10/40
CPC classification number: H04B10/038 , H04B10/40 , H04B10/1127
Abstract: A transceiver module for providing operational resilience is presented. The transceiver module is configured to receive first data via a first optical module in a first configuration of operation and detect, using an adapter that is operationally connected to the first optical module, an operational failure of the first optical module. In response to detecting the operational failure, the transceiver module is configured to switch, via the adapter, from the first configuration of operation to a second configuration of operation by: automatically engaging a second optical module; triggering the first data that was initially directed into a first input port of the first optical module to be directed into a second input port of the second optical module; and receiving the first data from a second output port of the second optical module.
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公开(公告)号:US20240098104A1
公开(公告)日:2024-03-21
申请号:US17956208
申请日:2022-09-29
Applicant: Mellanox Technologies, Ltd.
Inventor: Ioannis (Giannis) PATRONAS , Tamar Viclizki COHEN , Vadim GECHMAN , Dimitrios SYRIVELIS , Paraskevas BAKOPOULOS , Nikolaos ARGYRIS , Elad MENTOVICH
CPC classification number: H04L63/1425 , H04L41/16 , H04L47/17
Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based network resilience and steering. An example system monitors data traffic across one or more network ports and determines a first data traffic pattern from the data traffic. The system further determines, via a ML subsystem, that the first data traffic pattern is indicative of a security threat to a first network port. In response to determining that the first data traffic pattern is indicative of the security threat to the first network port, the system further isolates the first network port from the one or more network ports.
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公开(公告)号:US20250055562A1
公开(公告)日:2025-02-13
申请号:US18933039
申请日:2024-10-31
Applicant: MELLANOX TECHNOLOGIES, LTD.
Inventor: Paraskevas BAKOPOULOS , Ioannis (Giannis) PATRONAS , Nikolaos ARGYRIS , Dimitrios SYRIVELIS , Elad MENTOVICH , Dimitrios KALAVROUZIOTIS , Avraham GANOR , Nimer HAZIN
IPC: H04B10/038 , H04B10/112 , H04B10/40
Abstract: A datacenter environment having a plurality of servers, leaf switches, and spine switches is presented. A transceiver module facilitates reliable data transmission across network layers. The transceiver module includes a first optical module to facilitate data transmission between a server and a leaf switch, and a second optical module to facilitate data transmission between the leaf switch and a spine switch. An adapter operatively coupled to both optical modules manages data flow under different configurations. In a first configuration, the adapter receives first data from the server via the first optical module and second data from the leaf switch via the second optical module. Upon detecting an operational failure in the first optical module, the adapter terminates reception of second data from the leaf switch and switches to a second configuration, in which it redirects the first data from the server through the second optical module.
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公开(公告)号:US20240291738A1
公开(公告)日:2024-08-29
申请号:US18652131
申请日:2024-05-01
Applicant: MELLANOX TECHNOLOGIES, LTD.
Inventor: Ioannis (Giannis) PATRONAS , Tamar Viclizki COHEN , Vadim GECHMAN , Dimitrios SYRIVELIS , Paraskevas BAKOPOULOS , Nikolaos ARGYRIS , Elad MENTOVICH
IPC: H04L43/065 , H04L41/16 , H04L43/0817 , H04L45/28
CPC classification number: H04L43/065 , H04L41/16 , H04L43/0817 , H04L45/28
Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based system for network resilience and steering. An example system monitors data movement across one or more network ports; extracts network performance indicators associated with the data movement; determines, via a machine learning (ML) subsystem, that a status of a first network port is indicative of operational failure based on at least the network performance indicators; determines a redundant network port and an intermediate network switch in the same network port cluster as that of the first network port; and triggers the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port by terminating a communication link to the first network port until the operational failure of the first network port is resolved.
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公开(公告)号:US20240098000A1
公开(公告)日:2024-03-21
申请号:US17956035
申请日:2022-09-29
Applicant: Mellanox Technologies, Ltd.
Inventor: Ioannis (Giannis) PATRONAS , Tamar Viclizki COHEN , Vadim GECHMAN , Dimitrios SYRIVELIS , Paraskevas BAKOPOULOS , Nikolaos ARGYRIS , Elad MENTOVICH
IPC: H04L43/065 , H04L41/16 , H04L43/0817 , H04L45/28
CPC classification number: H04L43/065 , H04L41/16 , H04L43/0817 , H04L45/28
Abstract: Systems, computer program products, and methods are described herein for machine learning (ML) based system for network resilience and steering. An example system monitors data movement across one or more network ports; extracts network performance indicators associated with the data movement; determines, via a machine learning (ML) subsystem, that a status of a first network port is indicative of operational failure based on at least the network performance indicators; determines that the first network port is associated with a first network port cluster; determines a redundant network port and an intermediate network switch associated with the first network port cluster; and triggers the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port.
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