Tracking application scaling for network bandwidth allocation

US2022116337A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022116337-A1
Application numberUS-202117147724-A
CountryUS
Kind codeA1
Filing dateJan 13, 2021
Priority dateOct 8, 2020
Publication dateApr 14, 2022
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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Techniques for tracking compute capacity of a scalable application service platform to perform dynamic bandwidth allocation for data flows associated with applications hosted by the service platform are disclosed. Some of the techniques may include allocating a first amount of bandwidth of a physical underlay of a network for data flows associated with an application. The techniques may also include receiving, from a scalable application service hosting the application, an indication of an amount of computing resources of the scalable application service that are allocated to host the application. Based at least in part on the indications, a second amount of bandwidth of the physical underlay to allocate for the data flows may be determined. The techniques may also include allocating the second amount of bandwidth of the physical underlay of the network for the data flows associated with the application.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method comprising: allocating a first amount of bandwidth of a physical underlay of a network for data flows associated with an application; receiving, at a network controller associated with the network and from a scalable application service hosting the application, an indication of an amount of computing resources of the scalable application service that are allocated to host the application; determining, based at least in part on the indication, a second amount of bandwidth of the physical underlay to allocate for the data flows; and allocating the second amount of bandwidth of the physical underlay of the network for the data flows associated with the application. 2 . The method of claim 1 , wherein the indication of the amount of computing resources comprises an indication of a number of replicas of the application generated by the scalable application service. 3 . The method of claim 1 , further comprising receiving, at the network controller, a user defined bandwidth-allocation model specifying respective amounts of bandwidth of the physical underlay to allocate for the data flows based at least in part on respective amounts of computing resources of the scalable application service that are allocated to host applications, and wherein determining the second amount of bandwidth is further based at least in part on the bandwidth-allocation model. 4 . The method of claim 1 , wherein the second amount of bandwidth is greater than the first amount of bandwidth such that additional data flows associated with the application can utilize the physical underlay. 5 . The method of claim 1 , wherein allocating the second amount of bandwidth comprises sending, to an application programming interface (API) associated with the network, a request for the API to allocate the second amount of bandwidth of the physical underlay of the network. 6 . The method of claim 1 , further comprising sending, to an application programming interface (API) associated with the scalable application service, a request for the API to provide the indication of the amount of computing resources that are allocated to host the application, and wherein receiving the indication is based at least in part on the request. 7 . The method of claim 1 , wherein determining the second amount of bandwidth is further based at least in part on a prior amount of bandwidth of the physical underlay that was allocated for the data flows at a time when the amount of the computing resources of the scalable application service were allocated to host the application. 8 . A system comprising: one or more processors; and one or more computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: allocating a first amount of bandwidth of a physical underlay of a network for data flows associated with an application; receiving, from a scalable application service hosting the application, an indication of an amount of computing resources of the scalable application service that are allocated to host the application; determining, based at least in part on the indication, a second amount of bandwidth of the physical underlay to allocate for the data flows; and allocating the second amount of bandwidth of the physical underlay of the network for the data flows associated with the application. 9 . The system of claim 8 , wherein the indication of the amount of computing resources comprises an indication of a number of replicas of the application generated by the scalable application service. 10 . The system of claim 8 , the operations further comprising receiving a user defined bandwidth-allocation model specifying respective amounts of bandwidth of the physical underlay to allocate for the data flows based at least in part on respective amounts of computing resources of the scalable application service that are allocated to host applications, and wherein determining the second amount of bandwidth is further based at least in part on the bandwidth-allocation model. 11 . The system of claim 8 , wherein the second amount of bandwidth is greater than the first amount of bandwidth such that additional data flows associated with the application can utilize the physical underlay. 12 . The system of claim 8 , wherein allocating the second amount of bandwidth comprises sending, to an application programming interface (API) associated with the network, a request for the API to allocate the second amount of bandwidth of the physical underlay of the network. 13 . The system of claim 8 , the operations further comprising sending, to an application programming interface (API) associated with the scalable application service, a request for the API to provide the indication of the amount of computing resources that are allocated to host the application, and wherein receiving the indication is based at least in part on the request. 14 . The system of claim 8 , wherein determining the second amount of bandwidth is further based at least in part on a prior amount of bandwidth of the physical underlay that was allocated for the data flows at a time when the amount of the computing resources of the scalable application service were allocated to host the application. 15 . A non-transitory computer-readable storage medium storing instructions that, when executed by a computing device, cause the computing device to perform operations comprising: allocating a first amount of bandwidth of a physical underlay of a network for data flows associated with an application; receiving, from a scalable application service hosting the application, an indication of an amount of computing resources of the scalable application service that are allocated to host the application; determining, based at least in part on the indication, that the first amount of bandwidth of the physical underlay is to be increased or decreased; and causing the first amount of bandwidth of the physical underlay to be increased or decreased such that a second amount of bandwidth of the physical underlay is allocated for the data flows associated with the application, wherein the second amount of bandwidth comprises more bandwidth or less bandwidth than the first amount of bandwidth. 16 . The non-transitory computer-readable storage medium of claim 15 , wherein the indication of the amount of computing resources comprises an indication of a number of replicas of the application generated by the scalable application service. 17 . The non-transitory computer-readable storage medium of claim 15 , the operations further comprising generating a bandwidth-allocation model indicating respective amounts of bandwidth of the physical underlay to allocate for the data flows based at least in part on respective amounts of computing resources of the scalable application service that are allocated to host applications, and wherein determining the second amount of bandwidth is further based at least in part on the bandwidth-allocation model. 18 . The non-transitory computer-readable storage medium of claim 15 , wherein the indication comprises an indication of a decrease in the amount of computing resources of the scalable application service that are allocated to host the application, the operations further comprising: determining that the first amount of bandwidth of the physical underlay is to be decreased; and causing the first amount of bandwidth of the physical underlay to be decreased such that the second amount of bandwidth

Assignees

Inventors

Classifications

  • Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities (flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76) · CPC title

  • H04L47/783Primary

    Distributed allocation of resources, e.g. bandwidth brokers · CPC title

  • H04L47/803Primary

    Application aware · CPC title

  • Collecting or measuring resource availability data · CPC title

  • Remote procedure calls [RPC]; Web services · CPC title

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What does patent US2022116337A1 cover?
Techniques for tracking compute capacity of a scalable application service platform to perform dynamic bandwidth allocation for data flows associated with applications hosted by the service platform are disclosed. Some of the techniques may include allocating a first amount of bandwidth of a physical underlay of a network for data flows associated with an application. The techniques may also in…
Who is the assignee on this patent?
Cisco Tech Inc
What technology area does this patent fall under?
Primary CPC classification H04L47/783. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Apr 14 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).