Optimization framework for multi-tenant data centers

US9813301B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9813301-B2
Application numberUS-201514830303-A
CountryUS
Kind codeB2
Filing dateAug 19, 2015
Priority dateAug 20, 2014
Publication dateNov 7, 2017
Grant dateNov 7, 2017

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Systems and methods for decoupled searching and optimization for one or more data centers, including determining a network topology for one or more networks of interconnected computer systems embedded in the one or more data center, searching for routing candidates based on a network topology determined, and updating and applying one or more objective functions to the routing candidates to determine an optimal routing candidate to satisfy embedding goals based on tenant requests, and to embed the optimal routing candidate in the one or more data centers.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer implemented method for decoupled searching and optimization for one or more data centers, comprising: determining a network topology for one or more networks of interconnected computer systems embedded in the one or more data centers; searching for routing candidates based on a network topology determined; refining a search space for the searching for routing candidates using a scaled exhaustive search, the scaled exhaustive search comprising searching only selected switches and/or hypervisors for all spanning trees that satisfy a pre-determined size constraint specified during the refining a search space; and updating and applying one or more objective functions to the routing candidates to determine an optimal routing candidate to satisfy embedding goals based on tenant requests, and to embed the optimal routing candidate in the one or more data centers. 2. The method of claim 1 , further comprising determining Virtual Terminal Network (VTN) infoimation, wherein the VTN information includes a list of Virtual Machines (VMs) in the VTN and a hypervisor hosting each of the VMs. 3. The method of claim 1 , wherein the searching further comprises: determining all common nodes for a hypervisor set; locating one downward path from each common node to each hypervisor in the hypervisor set for each common node in a plurality of common nodes; and combining paths from all common nodes to each hypervisor to generate one routing candidate. 4. The method of claim 1 , wherein the objective functions include a combination function which balances weights of latency, bandwidth, and a number of hops. 5. The method of claim 1 , wherein the optimal routing candidate is embedded in a Virtual Terminal Network (VTN) by configuring switches. 6. The method of claim 1 , further comprising aggregating configuration tasks in a network action container to reduce an overall configuration delay in the one or more networks. 7. A system for decoupled searching and optimization for one or more data centers, comprising: a querying device, connected to one or more networks of interconnected computer systems, to receive a tenant request, the tenant request including one or more embedding goals; a search router responsive to the tenant request to determine a network topology of the one or more networks of interconnected computer systems, wherein the search router locates routing candidates based on a detetinined network topology, and wherein the search router is configured to refine a search space for searching for routing candidates using a scaled exhaustive search, the scaled exhaustive search comprising searching only selected switches and/or hypervisors for all spanning trees that satisfy a pre-determined size constraint specified during the refining of the search space; and an optimizer for updating and applying one or more objective functions to the routing candidates to determine an optimal routing candidate to satisfy embedding goals based on tenant requests, and for embedding the optimal routing candidate in the one or more data centers. 8. The system of claim 7 , wherein the search router is further configured to determine Virtual Terminal Network (VTN) information, wherein the VTN information includes a list of Virtual Machines (VMs) in the VTN and a hypervisor hosting each of the VMs. 9. The system of claim 7 , wherein the search router is further configured to: determine all common nodes for a hypervisor set; locate one downward path from each common node to each hypervisor in the hypervisor set for each common node in a plurality of common nodes; and combine paths from all common nodes to each hypervisor to generate one routing candidate. 10. The system of claim 7 , wherein the objective functions include a combination function which balances weights of latency, bandwidth, and a number of hops. 11. The system of claim 7 , wherein the optimal routing candidate is embedded in a Virtual Terminal Network (VTN) by configuring switches. 12. The system of claim 7 , further comprising a network action container for aggregating configuration tasks to reduce an overall configuration delay in the one or more networks. 13. A non-transitory computer-readable storage medium comprising a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform the steps of: determining a network topology for one or more networks of interconnected computer systems embedded in the one or more data centers; searching for routing candidates based on a network topology determined; refining a search space for the searching for routing candidates using a scaled exhaustive search, the scaled exhaustive search comprising searching only selected switches and/or hypervisors for all spanning trees that satisfy a pre-determined size constraint specified during the refining a search space; and updating and applying one or more objective functions to the routing candidates to determine an optimal routing candidate to satisfy embedding goals based on tenant requests, and to embed the optimal routing candidate in the one or more data centers. 14. The computer-readable storage medium of claim 13 , wherein the searching further comprises: determining all common nodes for a hypervisor set; locating one downward path from each common node to each hypervisor in the hypervisor set for each common node in a plurality of common nodes; and combining paths from all common nodes to each hypervisor to generate one routing candidate. 15. The computer-readable storage medium of claim 13 , wherein the optimal routing candidate is embedded in a Virtual Terminal Network (VTN) by configuring switches.

Assignees

Inventors

Classifications

  • Evaluation of link metrics (techniques for monitoring network metrics H04L43/08) · CPC title

  • Hypervisors; Virtual machine monitors · CPC title

  • for increasing network speed · CPC title

  • using a combination of metrics · CPC title

  • Jitter · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9813301B2 cover?
Systems and methods for decoupled searching and optimization for one or more data centers, including determining a network topology for one or more networks of interconnected computer systems embedded in the one or more data center, searching for routing candidates based on a network topology determined, and updating and applying one or more objective functions to the routing candidates to dete…
Who is the assignee on this patent?
Nec Lab America Inc, Nec Corp
What technology area does this patent fall under?
Primary CPC classification H04L41/12. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Nov 07 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).