IP Library › Granted Patent US 10,785,089
Granted Patent B2
US 10,785,089 · App. 15/973,112 · Granted Sep 22, 2020

Service-level resiliency in virtualization environments

Inventor: Paul Reeser (Red Bank, NJ)
Assignee: AT&T Intellectual Property I, L.P.
H04L41/06G06F9/45558H04L41/14G06F2009/45591G06F2009/45595
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Quick Facts
Patent No.
US 10,785,089
App. No.
15/973,112
Granted
Sep 22, 2020
Kind
B2
Abstract

A set of service-level reliability metrics and a method to allocate these metrics to the layers of the service delivery platform. These initial targets can be tuned during service design and delivery, and feed the vendor requirements process, forming the basis for measuring, tracking, and responding based on the service-level reliability metrics.

Claims (33)

1. An apparatus comprising:

a processor; and

a memory coupled with the processor, the memory comprising executable instructions that when executed by the processor cause the processor to effectuate operations comprising:

obtaining one or more metrics, the one more metrics comprising a response time threshold and a blocking metric, wherein the blocking metric comprises the probability that a transaction attempt is blocked for a service;

based on the one or more metrics, determining service-level mean time between outages for the service;

based on the service-level mean time, determining the mean time between virtual machine outage incidents for the service; and

sending an alert when the mean time between virtual machine outage incidents are above a threshold.

2. The apparatus of claim 1 , wherein the one or metrics further comprises a loss metric.

3. The apparatus of claim 1 , wherein the one or metrics comprise an average transaction arrival rate.

4. The apparatus of claim 1 , the operations further comprising determining mean time to restore service based on the one or more metrics.

5. The apparatus of claim 1 , the operations further comprising determining the average service impact of a virtual machine outage incident based on the service-level mean time.

6. The apparatus of claim 1 , the operations further comprising determining mean time to restore service after virtual machine outages based on the service-level mean time.

7. The apparatus of claim 1 , the operations further comprising determining the average service impact of a network function virtualization infrastructure outage incident based on the service-level mean time.

8. The apparatus of claim 1 , the operations further comprising determining mean time to restore service after a network function virtualization infrastructure outages based on the service-level mean time.

9. The apparatus of claim 1 , the operations further comprising determining mean time between network function virtualization infrastructure outage incidents based on the service-level mean time.

10. A method comprising:

obtaining, by a server, one or more metrics, the one more metrics comprising a response time threshold and a blocking metric, wherein the blocking metric comprises the probability that a transaction attempt is blocked for a service;

based on the one or more metrics, determining, by the server, service-level mean time between outages for the service;

based on the service-level mean time, determining, by the server, the mean time between virtual machine outage incidents for the service; and

sending, by the server, an alert when the mean time between virtual machine outage incidents are above a threshold.

11. The method of claim 10 , further comprising determining mean time between network function virtualization infrastructure outage incidents based on the service-level mean time.

12. The method of claim 10 , wherein the one or metrics further comprises a loss metric.

13. The method of claim 10 , wherein the one or metrics comprise an average transaction arrival rate.

14. The method of claim 10 , further comprising determining mean time to restore service based on the one or more metrics.

15. The method of claim 10 , further comprising determining the average service impact of a virtual machine outage incident based on the service-level mean time.

16. The method of claim 10 , further comprising determining mean time to restore service after virtual machine outages based on the service-level mean time.

17. The method of claim 10 , further comprising determining the average service impact of a network function virtualization infrastructure outage incident based on the service-level mean time.

18. The method of claim 10 , further comprising determining mean time to restore service after a network function virtualization infrastructure outages based on the service-level mean time.

19. A computer readable storage medium storing computer executable instructions that when executed by a computing device cause said computing device to effectuate operations comprising:

obtaining one or more metrics, the one more metrics comprising a response time threshold and a blocking metric, wherein the blocking metric comprises the probability that a transaction attempt is blocked for a service;

based on the one or more metrics, determining service-level mean time between outages for the service;

based on the service-level mean time, determining the mean time between virtual machine outage incidents for the service; and

sending an alert when the mean time between virtual machine outage incidents are above a threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 7, 2018
From: REESER, PAUL
To: AT&T INTELLECTUAL PROPERTY I, L.P.
Reel/Frame 045735/0345 →
Continuity (1)
Related Publication 20190342144A1 · Nov 7, 2019