S-Cube Industry Workshop

SALMon

M.Oriol, X. Franch, J. Marco

http://gessi.lsi.upc.edu/salmon

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Introduction

Monitoring QoS of services

Check for SLA violations

Notify the interested parties

Monitoring and quality assessment framework for services

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SALMon

Main features and characteristics:

Technologyagnostic design

Monitoringand Testing

Extensible add metrics

Easily interoperable

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SALMon

Service

SOAPREST

···

tester monitor

SALMon

serv. user

The framework

Response TimeAvailability ...

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SALMon

The framework

Monitor service

Analyzer service

measure instruments

Service Oriented System

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SALMon

The framework Design architecture

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SALMon

The framework Current monitored metrics

Round-trip time Current RTT Average RTT Maximum RTT Minimum RTT

Availability Current Avail. Average Avail.

Other Input Output

Response Time Current R.T. Average R.T. Maximum R.T. Minimum R.T.

Execution Time Current E.T. Average E.T. Maximum E.T. Minimum E.T.

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SALMon

Working collaborations

Monitoringthe cloud

MonitoringWS-Agreements

Usage-basedOnline testing

Self-AdaptiveSBAs

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SALMon

Usage-based Online testing

Problem: determining representative test cases to combine testing with monitoring for making better prediction of failures

Idea:Exploiting operational profile to determine what to test and augment the monitoring data with testing to perform analysis with more QoS data.

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SALMon

Usage-based Online testing

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SALMon

Usage-based Online testing

SALMon

Monitoring WS-Agreements

Problem:

Check the fullfilment of SLAs specified in WS-Agreement at runtime

Idea:

Generate from the WS-Agreements a Monitoring Model Document (MMD), which (1)specifies the configuration of the monitor and (2) is used to express the QoS results

SALMon

SALMONADA

user

Monitoring WS-Agreements

Service

SALMon

user

Service

SALMONADA

Monitoring WS-Agreements

SALMon

Monitoring WS-Agreements

Problem:

How to avoid SLA violations at runtime?

Idea:

Adapt the services that are to be executed in the SBA, in order to correct the deviations of previous executed services.

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SALMon

Self-Adaptive SBAs

SALMonSelf-AdaptiveSBAs

SALMonSelf-AdaptiveSBAs

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SALMon

Monitoring the cloud

Problem:

How to know the QoS of cloud systems in order to select the best cloud?

Idea:

Deploy over these cloud systems, a prepared set of services, where each one makes usage of a particular facet of the system (network, cpu, storage,…) in different degrees of intensity and monitor the QoS of these services

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SALMon

Monitoring the cloud

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SALMon

Monitoring the cloud

Deployment @runtime in the Virtual Machines

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SALMon

Conclusions Implemented as Service Based System

Services: Monitor, Analyzer Easy integration with other frameworks

Several features Technology agnostic Combines monitoring and testing Extensible with new metrics

Used in different frameworks Applied in 4 projects from S-Cube. Supports several distinct objectives

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Any questions?

Thanks for your attention!

That’s all!

http://gessi.lsi.upc.edu/salmon

Marc Oriol moriol@lsi.upc.eduXavier Franch franch@essi.upc.eduJordi Marco jmarco@lsi.upc.edu