paraiso cloud2016.key

University of Lille & Inria Lille - Nord Europe (France)

Fawaz Paraïso | Stéphanie Challita | Yahya Al-Dhuraibi | Philippe Merle 9th International Conference on Cloud Computing(CLOUD 2016)

Model-Driven Management of Docker Containers

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1 | Context

Jun27-July2,2016.SanFrancisco

Containers Technology

3

ContainersaddnewefficiencytoCloudComputing

Dockeristhewellknowcontainerstechnology

DockerAdoptionIsNotWithoutConcern…

Portability

lowresourceconsumption

Lightweight



2 | Challenges for Managing Docker Containers


A distributed Event Processing Application

5

Word

Word

Count

Count

Count

Count

Rolling

Rolling

Ranking

Rolling

RankingRolling


Deployability of Application

6

Deployment

CorrectionsThisoperationcanberepeatedseveralstime

ResourceconsumedTimeconsumed

Application

Runtime

Appli

Currently,withDockerthereisnowaytoguaranteethedeployabilityofapplication


Challenges for Managing Docker Containers

1. Challenge 1: Lack of the verification

7


Resources Management at Runtime

8

Runtime

App

cpu

memory

…



1. Lack of the verification

2. Challenge 2: Resource management at runtime

9


Synchronization between Design Time and Runtime

10

Runtime

AppDesignTime




2. Resources management at runtime

3. Challenge 3: Synchronization between design time and runtime

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Inconsistency Use of Containers Across Organizations

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Theproblemof:MaintainabilityremainsInconsistency

Swarm Compose




2. Resources management at runtime

3. Synchronization between design time and runtime

4. Challenge 4: Inconsistency use of containers across

organizations

13


Outline

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1.Context 2.Problem Statement 3.Our approach 4.Evaluation 5.Conclusion 6. Future Work



3 | Our Approach


Model-Driven Engineering (MDE)

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MDE=Abstraction+Automation

ModelisanabstractionthatenablestodealwithcomplexrealityinsimplifiedwayAutomationisamodeltransformationthatmutatesonmodeltoanother

ViewpointV2

M2

ViewpointV1

M1

ObjectConstraintLanguage(OCL)


Our Approach

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Model-DrivenManagementofDockerContainers

Oursolutionisfourphasemodel-driventool1. Analysisofconsistency2. Resourcemanagementatruntime2.SynchronizationofdesignedanddeployedContainers3.DesignTool


Architecture Overview

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Docker Model

Runtime

Legend:

Docker artifact

Model element

Connector

Generate artifacts

Update model elements

Connector


Docker Model (1/2)‣ In MDE everything is a model

➡Container, Link, Host,Volume, etc… • All modeling artefacts in MDE are interrelated

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Transformations

DockerFile,compose,swarm

Validation

Design


Docker Model (2/2)

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} [Merleetal.Cloud2015]{


Docker Container Architectural Constraints

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Container-a Container-b

Thisarchitecturewillfailduringitsdeploymentduetothecyclebetweencontainers

context Container inv NoCycleBetweenContainerLinks:links->select(oclIsTypeOf(Link)).target->closure(links->select(oclIsTypeOf(Link)).target)->excludes(self)

OCLconstraint


Synchronization

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Docker Model

Runtime

Connector

Twowaysynchronization


Connecting Docker Model Online

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Docker Model

Runtime

Detectchanges Connector

DESIG

NTIM

ERU

NTIM

E

Model

Modelupdate

ChangeDetection

Monitoring


Design Tool

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Availablehere:http://tinyurl.com/occiware



4 | Evaluation


Use Case

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Storm topology

ranking bolt

rolling count rolling count

count count count

word spout 1 word spout 2

20VMswith8DockercontainersdeployedonaprivateCloud


Overhead

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Createaction Avg.starttime DockerModelOverheadDocker 168.509sec -DockerwithModel 170.382sec 1,11%

Startaction Avg.starttime DockerModelOverheadDocker 5.033sec -DockerwithModel 5.04sec 2,1%

Stopaction Avg.starttime DockerModelOverheadDocker 84.12sec -DockerwithModel 86.01sec 2,25%

Containercreationtime

Containerstartingtime

Containerstoppingtime

TheexperimentshowsthattheoverheadintroducedbyDockerModelisnegligibleregardingalladvantagesprovidedbyourapproach

8containerswereusedtoperformthisevaluation


Scalability of Docker Model at Runtime

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Totalof50,000containerswheregenerated.Foreachgeneration,themodelperformscreationandupdateactions.

Theaveragetimetakentogenerate50containersis14.30seconds



5 | Conclusion


ConclusionPresented an ongoing Model-Driven Management of

Docker Containers MDE tooling enables to design, reason, and deploy

containers Our approach provides to the users the possibility to

verify the deployability of Docker containers at design time Tested our approach on a representative application

scenario and deployed it to cloud

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6 | Future Work


Future WorkInvestigate the adaptation of managed containers as a

set of atomic changes

Extended our approach to other container solutions

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Questions & comments

University of Lille & Inria Lille - Nord Europe (France)

Thank you!

http://occiware.org

FawazParaïso:[email protected]