Definition%20of%20Metric%20Dependencies%20for%20Monitoring%20the%20Impact%20of%20Quality%20of%20Services%20on%20Quality%20of%20Processes - PowerPoint PPT Presentation

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Definition%20of%20Metric%20Dependencies%20for%20Monitoring%20the%20Impact%20of%20Quality%20of%20Services%20on%20Quality%20of%20Processes

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Christian Mayerl, Kai Moritz H ner, Jens-Uwe Gaspar, Christof Momm, Sebastian Abeck ... Faculty of Computer Science, Universit t Karlsruhe (TH) 76128 Karlsruhe, ... – PowerPoint PPT presentation

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Title: Definition%20of%20Metric%20Dependencies%20for%20Monitoring%20the%20Impact%20of%20Quality%20of%20Services%20on%20Quality%20of%20Processes


1
Definition of Metric Dependenciesfor Monitoring
the Impact of Quality of Serviceson Quality of
Processes
  • Christian Mayerl, Kai Moritz Hüner, Jens-Uwe
    Gaspar, Christof Momm, Sebastian Abeck
  • Cooperation Management, Institute of
    Telematics,Faculty of Computer Science,
    Universität Karlsruhe (TH)76128 Karlsruhe,
    Germany
  • mayerl huener gaspar momm
    abeck_at_cm-tm.uka.de

2
INTRODUCTION Overview
  • Introduction
  • Related Work
  • Metric Dependency Model
  • Elements for modeling metric dependencies
  • Formalism for calculating metric dependencies
  • Example Performance Metric Dependencies
  • Dependency model of response time
  • Application of response time metrics
  • Monitoring Architecture
  • Components processing metric definitions
  • Implementation experiences and evaluation
  • Conclusion and Outlook

3
INTRODUCTION Scenario and Questions
  • Which elements needed to define dependencies
    between metrics
  • related to processes, invoked services and
    components implementing services?
  • How to define metric dependencies to allow
  • mapping of metric dependency definitions to an
    monitoring architecture?

4
RELATED WORK Overview
  • Basics of quality definitions
  • UML Profile for Modeling Quality of Service
  • basic terminology and structure, no calculable
    quality dependencies
  • Quality of Web Services
  • raw and aggregated metrics, no dependencies
    between services and processes
  • Metric dependencies
  • Business-driven IT Management (BDIM)
  • optimize SLOs from business perspective, not
    monitoring dependencies at runtime
  • Dependencies between service and process metrics
  • e-business processes based on Web services, no
    management function to monitor Quality of Service
    (QoS) and to calculate the impact on Quality of
    Process (QoP)
  • Management architectures and applications
  • Common Information Model (CIM) Metrics Model
  • metrics related to functional units, no
    definition of calculable metric dependencies

5
RELATED WORK Common Information Model (CIM)
Metrics Model
  • Modeling of runtime management information
  • Metric dependencies associated with relation
    CIM_SubUoW between units of work

6
METRIC DEPENDENCY MODEL Assumptions and
Requirements
  • Assumptions
  • focus on one process activity and one invoked
    service operation
  • process implemented with Business Process
    Execution Language (BPEL)
  • services described with Web Service Description
    Language (WSDL)
  • services implemented by component-based
    applications
  • functional dependencies between services and
    processes are well-known
  • Requirements
  • provider monitoring Quality of Services (QoS)
    should be able to estimate impacts on Quality of
    Processes (QoP)
  • formal model of metric dependencies needed to be
    calculated
  • mapping on existing standard management
    information models (e. g. Common Information
    Model, CIM)

7
METRIC DEPENDENCY MODEL Metrics and Metric
Dependencies
Process Layer
Metric Dependencies
Service Layer
Application Layer
8
METRIC DEPENDENCY MODEL Formalizing Metric
Dependencies
9
EXAMPLE PERFORMANCE METRIC DEPENDENCIESIntroduc
ed Example Scenario
ProcessLogic
Business Process Activity ToRProcess.CollectStuden
tInformation
functionaldependency
Service
Service Operation StudentDBService.getCompleteSet
functionaldependency
ApplicationLogic
Component FunctionStudentDBAccess.getCompleteSet
  • Process activity invokes a service operation
  • Service implemented by application component
    functions

10
EXAMPLE PERFORMANCE METRIC DEPENDENCIESMetric
Dependency Pattern for Performance
requestsent
processingstarted
responsesent
responsereceived
requestreceived
ProcessLayer
ServiceLayer
ApplicationLayer
  • Metric dependency patterns based on existing
    approaches
  • Pattern applied to specific SOA by assigning
    concrete architectural elements to each metric

11
EXAMPLE PERFORMANCE METRIC DEPENDENCIESModel
for StudentDBService and ToRProcess
12
EXAMPLE PERFORMANCE METRIC DEPENDENCIESSimple
Metric Dependency Function
  • Assumptions
  • Dependency functions

13
MONITORING ARCHITECTURE Component Overview
14
MONITORING ARCHITECTURE Component Details
  • AgreementMonitor
  • MetricAggregator
  • calculating metric values based on functional and
    metric dependencies
  • MetricComparator
  • comparing SLOs with calculated metric values
  • MetricCollector
  • collection of metric values and transformation to
    management information standards (e. g. CIM)
  • Others
  • Storage
  • Archiving of measured values
  • Associating values with functional and metric
    entities
  • Instrumentation
  • manageability capabilities of functional elements
  • provision of sufficient management information

15
IMPLEMENTATION EXPERIENCES Demonstrator
  • 10.000 requests for collecting and aggregating
    metric values

16
IMPLEMENTATION EXPERIENCES Evaluation of
MetricCollector and MetricAggregator
  • Useful medians
  • 141 milliseconds for MetricCollector
  • 437 milliseconds for MetricAggregator

17
IMPLEMENTATION EXPERIENCES Evaluation of Metric
Dependencies (Component, Service, Process)
milliseconds
18
IMPLEMENTATION EXPERIENCES EVALUATIONSorted
Measurement Data
milliseconds
19
IMPLEMENTATION EXPERIENCES EVALUATIONCorrelatio
n of Measurement Data
Service
Component
Process
Process
Component
Service
20
CONCLUSION AND OUTLOOK
  • Conclusion
  • Modeling metric dependencies between elements of
    a SOA
  • Formalism to calculate metric dependencies
  • Example response time dependencies
  • Monitoring quality impacts at run time
  • Development of a monitoring architecture
  • Evaluation of monitoring metric dependencies
  • Outlook
  • Definition of a UML profile to model metric
    dependencies
  • Support for development of manageable SOA
    elements
  • Integrated development of SOA and manageability
    capabilities
  • Extensions of the management instrumentations
  • Development of adequate management interfaces
  • Provision of management information for
    calculating metric dependencies
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