MEZZAZINE IN-DEPTH DATA ANALYSIS FACILITY

• US 20100042565A1
• Filed: 08/11/2009
• Published: 02/18/2010
• Est. Priority Date: 09/25/2000
• Status: Abandoned Application

• Current Assignee: Blue Coat Systems Incorporated (Gen Digital Inc.)
• Original Assignee: Crossbeam Systems Incorporated (Gen Digital Inc.)
• Inventors: AKERMAN, Moisey
• Application Number:
  US12/539,175
• Publication Number:
  US 20100042565A1
• Time in Patent Office: Days
• US Class Current: 706/20
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 43/0852 Delays

Abstract

A mezzanine adapter based data processing facility provides in-depth data analysis that is presented as a digest of advanced statistics and network measures including latency data, content analysis, bidirectional flow related characteristics, multiple flow related statistics over a count of connections or over a period of time, and the like.

Claims

1. A method comprising:

providing an in-depth data analysis facility;

disposing the facility on a blade-based architecture mezzanine adapter;

analyzing data passing through the mezzanine adapter with the analysis facility, providing a digest of the data; and

presenting the digest for infrastructure service management.

2. The method of claim 1, wherein the mezzanine adapter provides a network interface for a blade of the blade-based architecture.

3. The method of claim 1, wherein analyzing data includes identifying latency between packets.

4. The method of claim 1, wherein analyzing data includes identifying network idle time.

5. The method of claim 1, wherein analyzing data includes identifying inter-packet latency variation.

6. The method of claim 1, wherein analyzing data includes determining suitability of a data flow for voice over ip.

7. The method of claim 1, wherein analyzing data includes providing a multiple flow digest.

8. The method of claim 1, wherein analyzing data includes determining desirability of a destination.

9. The method of claim 8, wherein desirability of a destination is based on one or more of a count of connections by the same source, a count of connections to the same destination and a count of connections with the same service name.

10. The method of claim 1, wherein presenting the digest includes streaming the digest over the network port to one or more recipients.

11. The method of claim 10, wherein streaming the digest increases bandwidth requirements of the network port by less than 2 percent.

12. The method of claim 1, wherein analyzing data includes analyzing a replication of the data passing through the mezzanine adapter.

13. A system comprising:

an in-depth data analysis facility disposed on a mezzanine adapter of a blade-based server, the in-depth data analysis facility for generating an infrastructure service management-based digest of data that passes through the mezzanine adapter.

14. The system of claim 13, wherein the in-depth data analysis facility further includes:

a processing facility for analyzing data;

data digest algorithms for execution by the processing facility;

a memory for storing at least a digest of the data provided by the processing facility;

a network port for connecting the processing facility to a business network; and

a server port for connecting the processing facility to a server.

15. The system of claim 14, wherein the algorithms are accessible to the processing facility in the memory.

16. A business service management method comprising:

providing an in-depth data analysis facility;

disposing the facility on a blade-based architecture mezzanine adapter;

analyzing customer service data passing through the mezzanine adapter with the analysis facility, providing a measure of the level of quality of customer service; and

transmitting the measure to a server.

17. The method of claim 16, wherein the mezzanine adapter provides a network interface for a blade of the blade-based architecture.

18. The method of claim 16, wherein the measure of the level of quality includes analysis of one or more of latency between packets, network idle time, inter-packet latency variation and multiple flows.

19. The method of claim 16, wherein transmitting the measure includes streaming data representing an aspect of the measure over the network port to one or more recipients.

20. The method of claim 16, wherein analyzing customer service data includes analyzing a replication of the data passing through the mezzanine adapter.