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公开(公告)号：US20180285397A1
公开(公告)日：2018-10-04
申请号：US15478304
申请日：2017-04-04
Applicant: Cisco Technology, Inc.
Inventor： Xinyuan Huang , Debojyoti Dutta
Abstract: In one embodiment, a device in a network tokenizes a plurality of strings from unstructured log data into entity tokens and non-entity tokens. The entity tokens identify entities in the network. The device identifies patterns of tokens in the tokenized strings. The device determines entity-centric contexts from the identified patterns. A particular entity-centric context comprises a sequence of tokens that precede or follow an entity token in the tokenized strings. The device associates similar ones of the entity-centric contexts. The device generates a lookup index based in part on the entities and the similar entity-centric contexts.
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公开(公告)号：US20180157713A1
公开(公告)日：2018-06-07
申请号：US15368373
申请日：2016-12-02
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Xinyuan Huang , Manoj Sharma , Debojyoti Dutta
IPC: G06F17/30
Abstract: There is disclosed in an example a computer-implemented method of providing automated log analysis, including: receiving a log stream comprising a plurality of transaction log entries, the log entries comprising a time stamp, a component identification (ID), and a name value pair identifying a transaction; creating an index comprising mapping a key ID to a name value pair of a log entry; and selecting from the index a key ID having a relatively large number of repetitions. There is also disclosed an apparatus and computer-readable medium for performing the method.
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公开(公告)号：US20170149687A1
公开(公告)日：2017-05-25
申请号：US14951110
申请日：2015-11-24
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Xinyuan Huang , Aparupa Das Gupta , Marc Solanas Tarre , Rishabh Jain
IPC: H04L12/911 , H04L29/08
CPC classification number: H04L47/78 , H04L67/1002
Abstract: The present disclosure describes a method for cloud resource placement optimization. A resources monitor monitors state information associated with cloud resources and physical hosts in the federated cloud having a plurality of clouds managed by a plurality of cloud providers. A rebalance trigger triggers a rebalancing request to initiate cloud resource placement optimization based on one or more conditions. A cloud resource placement optimizer determines an optimized placement of cloud resources on physical hosts across the plurality of clouds in the federated cloud based on (1) costs including migration costs, (2) the state information, and (3) constraints, wherein each physical host is identified in the constraints-driven optimization solver by an identifier of a respective cloud provider and an identifier of the physical host. A migrations enforcer determines an ordered migration plan and transmits requests to place or migrate cloud resources according to the ordered migration plan.
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公开(公告)号：US11740935B2
公开(公告)日：2023-08-29
申请号：US17519395
申请日：2021-11-04
Applicant: Cisco Technology, Inc.
Inventor： Komei Shimamura , Xinyuan Huang , Amit Kumar Saha , Debojyoti Dutta
CPC classification number: G06F9/4881 , G06F9/5038 , G06F9/5066 , G06F9/5088
Abstract: In one embodiment, a method for FPGA accelerated serverless computing comprises receiving, from a user, a definition of a serverless computing task comprising one or more functions to be executed. A task scheduler performs an initial placement of the serverless computing task to a first host determined to be a first optimal host for executing the serverless computing task. The task scheduler determines a supplemental placement of a first function to a second host determined to be a second optimal host for accelerating execution of the first function, wherein the first function is not able to accelerated by one or more FPGAs in the first host. The serverless computing task is executed on the first host and the second host according to the initial placement and the supplemental placement.
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公开(公告)号：US20230237779A1
公开(公告)日：2023-07-27
申请号：US17582959
申请日：2022-01-24
Applicant: Cisco Technology, Inc.
Inventor： Elvira Dzhuraeva , Xinyuan Huang , Ashutosh Arwind Malegaonkar , Patrick James Riel
IPC: G06V10/774 , G06V10/776 , G06V10/82
CPC classification number: G06V10/7747 , G06V10/776 , G06V10/82
Abstract: Systems, methods, and computer-readable media are disclosed for dynamically adjusting a configuration of a pre-processor and/or a post-processor of a machine learning system. In one aspect, a machine learning system can receive raw data at a pre-processor where the pre-processor being configured to generate pre-processed data, train a machine learning model based on the pre-processed data to generate output data, process the output data at a post-processor to generate inference data, and adjust, by a controller, configuration of one or a combination of the pre-processor and the post-processor based on the inference data.
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Patent Agency Ranking
公开(公告)号：US20220058054A1
公开(公告)日：2022-02-24
申请号：US17519395
申请日：2021-11-04
Applicant: Cisco Technology, Inc.
Inventor： Komei Shimamura , Xinyuan Huang , Amit Kumar Saha , Debojyoti Dutta
Abstract: In one embodiment, a method for FPGA accelerated serverless computing comprises receiving, from a user, a definition of a serverless computing task comprising one or more functions to be executed. A task scheduler performs an initial placement of the serverless computing task to a first host determined to be a first optimal host for executing the serverless computing task. The task scheduler determines a supplemental placement of a first function to a second host determined to be a second optimal host for accelerating execution of the first function, wherein the first function is not able to accelerated by one or more FPGAs in the first host. The serverless computing task is executed on the first host and the second host according to the initial placement and the supplemental placement.
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公开(公告)号：US10884807B2
公开(公告)日：2021-01-05
申请号：US15485910
申请日：2017-04-12
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Komei Shimamura , Timothy Okwii , Debojyoti Dutta , Yathiraj B. Udupi , Rahul Ramakrishna , Xinyuan Huang
IPC: G06F9/50
Abstract: In one embodiment, a method for serverless computing comprises: receiving a task definition, wherein the task definition comprises a first task and a second task chained to the first task; adding the first task and the second task to a task queue; executing the first task from the task queue using hardware computing resources in a first serverless environment associated with a first serverless environment provider; and executing the second task from the task queue using hardware computing resources in a second serverless environment selected based on a condition on an output of the first task.
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公开(公告)号：US10678444B2
公开(公告)日：2020-06-09
申请号：US15943640
申请日：2018-04-02
Applicant: Cisco Technology, Inc.
Inventor： Xinyuan Huang , Johnu George , Marc Solanas Tarre , Komei Shimamura , Purushotham Kamath , Debojyoti Dutta
Abstract: Aspects of the technology provide improvements to a Serverless Computing (SLC) workflow by determining when and how to optimize SLC jobs for computing in a Distributed Computing Framework (DCF). DCF optimization can be performed by abstracting SLC tasks into different workflow configurations to determined optimal arrangements for execution in a DCF environment. A process of the technology can include steps for receiving an SLC job including one or more SLC tasks, executing one or more of the tasks to determine a latency metric and a throughput metric for the SLC tasks, and determining if the SLC tasks should be converted to a Distributed Computing Framework (DCF) format based on the latency metric and the throughput metric. Systems and machine-readable media are also provided.
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公开(公告)号：US20190286548A1
公开(公告)日：2019-09-19
申请号：US16434106
申请日：2019-06-06
Applicant: Cisco Technology, Inc.
Inventor： Mingye Chen , Xinyuan Huang , Debojyoti Dutta
Abstract: A controller can receive first and second metrics respectively indicating distributed computing system servers' CPU, memory, or disk utilization, throughput, or latency for a first time. The controller can receive third and fourth metrics for a second time. The controller can determine a first graph including vertices corresponding to the servers and edges indicating data flow between the servers, a second graph including edges indicating the first metrics satisfy a first threshold, a third graph including edges indicating the second metrics satisfy a second threshold, a fourth graph including edges indicating the third metrics fail to satisfy the first threshold, and a fifth graph including edges indicating the fourth metrics fail to satisfy the second threshold. The controller can display a sixth graph indicating at least one of first changes between the second graph and the fourth graph or second changes between the third graph and the fifth graph.
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公开(公告)号：US20190114247A1
公开(公告)日：2019-04-18
申请号：US15786790
申请日：2017-10-18
Applicant: Cisco Technology, Inc.
Inventor： Mingye Chen , Xinyuan Huang , Debojyoti Dutta
CPC classification number: G06F11/3612 , G06F11/0751 , G06F11/302 , G06F11/3048 , G06F11/3051 , G06F11/3409 , G06F11/3495 , H04L43/00
Abstract: Systems, methods, and computer-readable media are disclosed for graph based monitoring and management of network components of a distributed streaming system. In one aspect, a method includes generating, by a processor, a first metrics and a second metrics based on data collected on a system; generating, by the processor, a topology graph representing data flow within the system; generating, by the processor, at least one first metrics graph corresponding to the first metrics based in part on the topology graph; generating, by the processor, at least one second metrics graph corresponding to the second metrics based in part on the topology graph; identifying, by the processor, a malfunction within the system based on a change in at least one of the first metrics graph and the second metrics graph; and sending, by the processor, a feedback on the malfunction to an operational management component of the system.
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