公开(公告)号：US20250088428A1

公开(公告)日：2025-03-13

申请号：US18367775

申请日：2023-09-13

Applicant: Microsoft Technology Licensing, LLC

Inventor： Tsuwang HSIEH ,  Santiago Martin SEGARRA ,  Sathiya Kumaran MANI ,  Srikanth KANDULA ,  Michael Dean WONG

IPC: H04L41/16 ,  H04L41/14 ,  H04L41/147 ,  H04L43/045

Abstract: This document relates to automating detecting anomalies in network behavior of an application Generally, the disclosed techniques can obtain network flow data for an application. A machine learning model can be used to process the network flow data to detect anomalies. The machine learning model can be retrained over time to adapt to changing network behavior of the application. In some cases, a graph neural network is employed to detect the anomalies.

公开(公告)号：US20250112843A1

公开(公告)日：2025-04-03

申请号：US18476913

申请日：2023-09-28

Applicant: Microsoft Technology Licensing, LLC

Inventor： Sathiya Kumaran MANI ,  Tsuwang HSIEH ,  Ranveer CHANDRA ,  Srikanth KANDULA ,  Santiago Martin SEGARRA

IPC: H04L43/045 ,  H04L41/16 ,  H04L43/08 ,  H04L43/55

Abstract: Securing and optimizing communications for a cloud service provider includes collecting connection summary information at network interface devices associated with host computing devices for a group of resources allocated to a customer of the cloud computing environment. The connection summary information includes local address information, remote address information, and data information, each connection established via the network interface devices. At least one communication graph is generated for the group of resources using the connection summary information. The graph includes nodes that represent communication resources of the group of resources and edges extending between nodes that characterize communication between the nodes. At least one analytics process is performed on data from the graph to identify at least one of a micro-segmentation strategy, a communication pattern, and a flow prediction for the group of resources.

公开(公告)号：US20240314747A1

公开(公告)日：2024-09-19

申请号：US18323126

申请日：2023-05-24

Applicant: Microsoft Technology Licensing, LLC

Inventor： Behnaz ARZANI ,  Pooria NAMYAR ,  Srikanth KANDULA ,  Umesh KRISHNASWAMY ,  Himanshu RAJ ,  Santiago Martin SEGARRA ,  Daniel Stopol CRANKSHAW

IPC: H04W72/044 ,  H04W72/512

CPC classification number: H04W72/044 ,  H04W72/512

Abstract: A method for allocating a plurality of network resources to a plurality of network-access demands of a plurality of network guests comprises (a) receiving the plurality of network-access demands; (b) for each of the plurality of network-access demands (i) dynamically computing, from among the plurality of network resources, a resorted order of resources associated with the network-access demand, and (ii) for each network resource associated with the network-access demand, increasing, in the re-sorted order, an allocation of the network resource to the network-access demand until the network-access demand is saturated, and freezing the allocation of each of the plurality of network resources to the saturated demand; and (c) outputting the frozen allocation of each of the plurality of network resources for each of the plurality of network-access demands.

公开(公告)号：US20240311153A1

公开(公告)日：2024-09-19

申请号：US18331846

申请日：2023-06-08

Applicant: Microsoft Technology Licensing, LLC

Inventor： Behnaz ARZANI ,  Siva Kesava Reddy KAKARLA ,  Miguel OOM TEMUDO DE CASTRO ,  Srikanth KANDULA ,  Saeed MALEKI ,  Luke Jonathon MARSHALL

IPC: G06F9/30 ,  G06F9/38

CPC classification number: G06F9/3005 ,  G06F9/3877

Abstract: A method for scheduling a coordinated transfer of data among a plurality of processor nodes on a network comprises operating a multi-commodity flow model subject to a plurality of predetermined constraints. The model is configured to (a) receive as input a set of demands defining, for each of the plurality of processor nodes, an amount of data to be transferred to that processor node, (b) assign a plurality of paths linking the plurality of processor nodes, and (c) emit a schedule for transfer of the data along the plurality of paths so as to minimize a predetermined cost function, wherein the schedule comprises at least one store-and-forward operation and at least one copy operation.

公开(公告)号：US20230370322A1

公开(公告)日：2023-11-16

申请号：US18182348

申请日：2023-03-12

Applicant: Microsoft Technology Licensing, LLC

Inventor： Behnaz ARZANI ,  Pooria NAMYAR ,  Daniel Stopol CRANKSHAW ,  Daniel Sebastian BERGER ,  Tsu-wang HSIEH ,  Srikanth KANDULA

IPC: H04L41/0604 ,  H04L41/0631 ,  H04L43/55 ,  H04L43/0817 ,  H04L41/12

CPC classification number: H04L41/0627 ,  H04L41/0631 ,  H04L43/55 ,  H04L43/0817 ,  H04L41/12

Abstract: A computing system identifies mitigation actions in response to failures within a computer network. A service level objective is obtained by the computing system for client-resource data flows traversing the computer network between client-side and resource-side nodes. Indication of a failure event at a network location of the computer network is obtained. For each mitigation action of a set of candidate mitigation actions, an estimated impact to a distribution of the service level objective is determined for the mitigation action by applying simulated client-resource data flows to a network topology model of the computer network in combination with the mitigation action and the failure event. One or more target mitigation actions are identified by the computing system from the set of candidate mitigation actions based on a comparison of the estimated impacts of the set of candidate mitigation actions.

公开(公告)号：US20230215150A1

公开(公告)日：2023-07-06

申请号：US17566996

申请日：2021-12-31

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Yao LU ,  Srikanth KANDULA ,  Beibin LI

IPC: G06V10/776 ,  G06V10/774 ,  G06N3/04

CPC classification number: G06V10/776 ,  G06V10/7747 ,  G06N3/0454

Abstract: A method of updating a trained cardinality estimation model includes receiving a cardinality estimation model with cardinality labels and detecting a drift in underlying data or predicates of the cardinality estimation model. The type of the detected drift is determined and new test queries that mimic test queries for the detected drift are synthesized. A portion of the synthesized test queries is selected to reduce annotation cost and used to update the cardinality estimation model.

公开(公告)号：US20250036375A1

公开(公告)日：2025-01-30

申请号：US18395321

申请日：2023-12-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Tsuwang HSIEH ,  Sathiya Kumaran MANI ,  Ranveer CHANDRA ,  Srikanth KANDULA ,  Santiago Martin SEGARRA ,  Yajie ZHOU

IPC: G06F8/35 ,  G06F16/901

Abstract: This patent relates to automating network management. One example includes a graph analysis and manipulation tool configured to receive a natural language prompt relating to a network management activity. The graph analysis and manipulation tool is also configured to access a graph resource and to generate code that addresses the network management activity as a graph manipulation task.

公开(公告)号：US20250004805A1

公开(公告)日：2025-01-02

申请号：US18216255

申请日：2023-06-29

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Gerald Roy DE GRACE ,  Srikanth KANDULA ,  Avijit GUPTA ,  Rishabh TEWARI ,  Arun JEEDIGUNTA VENKATA SATYA ,  Zexuan ZHAO

IPC: G06F9/455

Abstract: Techniques are disclosed for managing connections or bidirectional flows of a communication session in a software defined network (SDN). A virtual machine determines that the communication session meets a criterion for offloading policy enforcement of the communication session to an acceleration device. The virtual machine sends to the connection processing engine, a request to offload policy enforcement of the communication session from the virtual machine to the acceleration device.

公开(公告)号：US20240080255A1

公开(公告)日：2024-03-07

申请号：US17929503

申请日：2022-09-02

Applicant: Microsoft Technology Licensing, LLC

Inventor： Behnaz ARZANI ,  Pooria NAMYAR ,  Ryan Andrew BECKETT ,  Srikanth KANDULA ,  Santiago Martin SEGARRA ,  Himanshu RAJ

IPC: H04L45/02

CPC classification number: H04L45/08

Abstract: A computing device is provided, including a processor that receives a network graph. The processor further receives a specification of a network traffic control heuristic for a network traffic routing problem over the network graph. The processor further constructs a gap maximization problem that has, as a maximization target, a difference between an exact solution to the network traffic routing problem and a heuristic solution generated using the network traffic control heuristic. The processor further generates a Lagrange multiplier formulation of the gap maximization problem. At a convex solver, the processor further computes an estimated maximum gap as an estimated solution to the Lagrange multiplier formulation of the gap maximization problem. The processor further performs a network traffic control action based at least in part on the estimated maximum gap.

公开(公告)号：US20180300174A1

公开(公告)日：2018-10-18

申请号：US15954311

申请日：2018-04-16

Applicant: Microsoft Technology Licensing, LLC

Inventor： Konstantinos KARANASOS ,  Sriram RAO ,  Srikanth KANDULA ,  Milan VOJNOVIC ,  Jeffrey Thomas RASLEY ,  Rodrigo Lopes Cancado FONSECA

IPC: G06F9/48 ,  G06F9/50

Abstract: Embodiments for efficient queue management for cluster scheduling and managing task queues for tasks which are to be executed in a distributed computing environment. Both centralized and distributed scheduling is provided. Task queues may be bound by length-based bounding or delay-based bounding. Tasks may be prioritized and task queues may be dynamically reordered based on task priorities. Job completion times and cluster resource utilization may both be improved.