System and method for efficiently monitoring quality of service in a distributed processing environment

• US 5,958,009 A
• Filed: 02/27/1997
• Issued: 09/28/1999
• Est. Priority Date: 02/27/1997
• Status: Expired due to Fees

• Current Assignee: Hewlett-Packard Company (HP Inc.)
• Original Assignee: Hewlett-Packard Company (HP Inc.)
• Inventors: Matinka, Joseph J., Sienknecht, Tracy F., Friedrich, Richard J.
• Primary Examiner(s): Asta, Frank J.
• Assistant Examiner(s): Cardone, Jason D.
• Application Number:
  US08/807,734
• Time in Patent Office: 943 Days
• Field of Search: 395/200.31, 395/800.28, 395/184.01, 709/201, 709/203, 709/218, 709/224, 709/225, 709/249, 709/226, 709/104
• US Class Current: 709/224
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks
• CPC Class Codes: H04L 43/028 by filtering
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 43/12 Network monitoring probes
• CPC Class Codes: H04L 43/16 Threshold monitoring

Abstract

A measurement system and method of instrumenting a computer program for efficiently monitoring the quality of service in a distributed processing environment are described. A plurality of interconnected network nodes in a computer system with an application process operating on each network node is provided. At least one intelligent sensor is associated with each application process. Each intelligent sensor selectively collects data about at least one of the network node upon which the associated application process operates and the associated application process. An observer is associated with each application process and filters out unchanged and zero values from the data collected by the at least one intelligent sensor. A collector is logically associated with each network node. The intervalized collected data is asynchronously received into the collector periodically pushed from the observer. An analyzer is associated with the distributed processing environment and correlates the intervalized collected data. The intervalized collected data is asynchronously received into the analyzer periodically pushed from the collector.

Claims

1. A measurement system for monitoring quality of service of a distributed processing environment having a plurality of interconnected nodes and a plurality of application processes, each operating on one of the nodes, comprising:

at least an intelligent sensor incorporated in each of the application processes to selectively collect, whenever the threshold information level for the sensor has been exceeded, data about the associated application process and the node upon which the associated application process operates into the local process address space of the sensor;

an observer associated with the intelligent sensor to transfer the data collected by the intelligent sensor, wherein the observer eliminates data transfer of unchanged and zero values of the collected data in order to minimize data traffic in the measurement system, and copies control data into the configuration address space for each sensor;

a collector logically associated with each network node;

a collector data interface that asynchronously receives the intervalized collected data into the collector periodically pushed from the observer;

an analyzer associated with the distributed processing environment to correlate the intervalized collected data;

an analyzer data interface that asynchronously receives the intervalized collected data into the analyzer periodically pushed from the collector.

2. The measurement system of claim 1, wherein the intelligent sensor further comprises a registry storing a state of the intelligent sensor.

3. The measurement system of claim 1, further comprising a repository that stores configuration data for the intelligent sensor, observer, and collector for each application process.

4. The measurement system of claim 1, further comprising

(I) a presenter that interactively produces a logically integrated view of the collected data provided by the analyzer;

(II) an interpreter that evaluates and identifies complex relationship between the collected data provided by the analyzer; and

(III) a controller that sets and modifies system parameters and configurations based on the collected data provided by the analyzer.

5. The measurement system of claim 1, wherein one of the application processes is a client object and another one of the application processes is a server object.

6. A method of measuring quality of service of a distributed process environment that includes a plurality of interconnected nodes and a plurality of application processes, each operating on one of the nodes, the method comprising the steps of:

(A) selectively collecting, whenever the threshold information level for an intelligent sensor has been exceeded, data about the associated application process and the node upon which the associated application process operates using the intelligent sensor, wherein the data collected is stored into the local process address space of the sensor;

(B) transferring the data collected by the intelligent sensor by an observer associated with the intelligent sensor in such a way that data transfer of unchanged and zero values of the collected data is eliminated in order to minimize data traffic, wherein the observer copies control data into the configuration address space for each sensor, wherein the step (B) further comprises the steps of

forming internalized data from the collected data by eliminating data transfer of unchanged and zero values of the collected data;

periodically pushing the intervalized collected data to a collector via a collector data interface;

(C) periodically pushing the intervalized collected data to an analyzer associated with the distributed processing environment to correlate the intervalized collected data;

(D) generating a correlated view of the intervalized collected data using an analyzer.

7. The method of claim 6, further comprising the step of encapsulating or embedding the intelligent sensor into the associated application process such that the intelligent sensor operates as part of the application process.

8. The method of claim 6, further comprising the step of configuring the intelligent sensor, the observer, and the collector for each application process in accordance with configuration data stored in a repository.

9. The method of claim 6, further comprising the steps of

evaluating and identifying complex relationship between the collected data;

and

setting and modifying system parameters and configurations based on the collected data.

10. The method of claim 6, wherein one of the application processes is a client object and another one of the application processes is a server object, further comprising the step of capturing data pertaining to client-server interactions occurring between the client object and the server object.