Constellation: a Multi-Cloud Application Designed with the MODAClouds Integrated Modelling Environment
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Two major sources of uncertainty challenge the development of cloud applications are : (i) the maintenance cost uncertainty caused by cloud APIs heterogeneity and vendor lock-in; and (ii) the performance uncertainty caused by virtualization. The MODAClouds project developed an integrated modelling environment to cope with these challenges. In this paper we report how Softeam leveraged the MODAClouds model-driven methodology and environment to cloudify its collaborative modelling application called Constellation. The environment supports the modelling of cloud applications using domain-specific UML extensions, integrating specialized tools by means of model transformations. This paper focuses on three tools: CLOUDML, SPACE4Clouds and LINE. The first tool, CLOUDML, provides abstractions to represent deployment models at design-time together with the run-time tool to enact the deployment and adaptation of cloud applications. LINE and SPACE4Cloud allow developers to analyse the application performance, considering common causes of uncertainty in virtualized environments.
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Constellation: a Multi-Cloud Application Designed with the MODAClouds Integrated Modelling Environment
- 1. FP7-ICT-2011-8-318484www.modaclouds.eu www.modaclouds.euwww.modaclouds.eu Constellation: a Multi-Cloud Application Designed with the MODAClouds Integrated Modelling Environment SOFTEAM : Marcos Almeida POLIMI : Danilo Ardagna SINTEF : Nicolas Ferry IMPERIAL / U Melbourne : Juan F. Perez
- 2. 2 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Who are we ? Softeam, Modelio Modeling Tool • SOFTEAM – a French IT services / Software vendor of 900 people • Specialist in OO technologies, new architectures, methodologies • Banking, Defense, Telecom • MODELIO : UML editor with 20 years’ history • UML/BPM modeling tool • Code generation • Documentation • Available under open source at Modelio.org
- 3. 3 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Constellation: We embrace the cloud(s) Released in December 2013 Target with MODAClouds
- 5. 5 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 We need to support our clients’ heterogeneity Constellation needs to be… • Cloud vendor independent • Some need on premises ‘private cloud’ hosting • Some are ok with public cloud hosting • What if any of these constraints change? • Cost effective • MODAClouds will help us to support this heterogeneity in a cost effective way • Adaptive • MODAClouds will help us to support this heterogeneity in a automated way
- 6. 6 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 We evaluated MODAClouds design and runtime tools
- 7. 7 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 MODAClouds (www.modaclouds.eu) • Integrated Project n. 318484 • October 1st 2012 – September 30th 2015 7 MODAClouds provides methods, a decision support system, an open source Integrated Development Environment (IDE) and Run-time Environment for the high-level design, early prototyping, semi- automatic code generation, and automatic deployment of applications on multi-Clouds with guaranteed Quality of Service (QoS).
- 8. 8 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Cloud Computing • Infrastructure / platform virtualization • Why? • Economy of scale • Cost reduction • Flexibility 8 Web application Bare metal Servers Web application Software defined Platform / infrastructure
- 9. 9 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Cloud Challenges • Vendor Lock-in • Heterogeneity and lack of interoperability among different Cloud providers • Performance Variability: • Cloud performance can vary at any point in time • Unavailability problems exist even when 99.9% up-time is advertised 9
- 10. 10 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 MODAClouds Solutions • Vendor Lock-in • Performance Variability • Build your solution to be cloud provider independent! • Model driven engineering • Be ready to move to other clouds opportunistically • Multi clouds!
- 11. 11 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Separation from provider- specific details • Cloud Computing: manage your (many) infrastructures and your (many) platforms: • CCIM: concepts that are independent even from the cloud. • CPIM: cloud concepts that are independent of any cloud provider. • CPSM: cloud provider specific details to specify how to run the system on a specific cloud. CCIM CPIM CPSM 11
- 12. 12 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Design time tools to build cloud provider independent applications Identify the best cloud services Optimize configuration (w.r.t. cost & QoS constraints) Deploy on multiple clouds 1 2 Define application architecture & deployment configuration 3 4
- 13. 13 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Runtime tools to manage multi-cloud deployments Monitor Dynamically optimize configuration Adapt to multiple clouds Providers design runtime
- 14. 14 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Results • >= 9 supported cloud services • IaaS: Amazon EC2, Flexiant, CloudSigma, Openstack, Azure plus all IaaS supported by jCloud. • PaaS: Cloud Foundry, AWS RDS, AWS SQS, AWS Beanstalk • 4 case studies • SOFTEAM (FR): Single cloud to multi clouds • BoC (FR): Cloudifying desktop windows application • ATOS (ES): Healthcare application • Siemens (RO): Smart City urban safety planner
- 15. FP7-ICT-2011-8-318484www.modaclouds.eu www.modaclouds.euwww.modaclouds.eu Back to Constellation…
- 16. 16 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 We used Creator4Clouds What for •Define a cloud ready architecture based on an assembly of scalable components •Plan monitoring strategy and model monitoring rules •Model and test several deployment configurations Benefits •Provide an approach for scalable multi-cloud application architecture •Model once, deploy to multi-clouds •Explore a large set of deployment configuration
- 17. 17 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Creator 4Clouds model of Constellation – CCIM level
- 18. 18 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Creator 4Clouds model of Constellation – CPSM level
- 20. 20 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 We used SPACE Dev 4Clouds What for •Early analysis of diverse deployment scenarios •Select an initial deployment architecture for our application Benefits •Automated fine analysis of costs before deployment •Allow us to chose an initial deployment architecture
- 21. The MODAClouds Approach Creator 4Clouds Palladio Bench + SPACE4Clouds + LINE 21
- 22. Layered Queueing Networks Example: getProjectData Service Task getProjectData Entry getProjectData Internal Action External Call Task databaseAccess Entry databaseAccess Internal Action 22
- 23. LINE Performance Model • Fluid Solver for Layered Queueing Network Models – Efficient and Scalable evaluation • Fluid models: • Set of ordinary differential equations • Numerical solution • Goes beyond the mean values studied by traditional techniques, e.g., time-varying metrics, transients, ... 23
- 24. Design-time Exploration General Idea Performance Engine • LINE • LQNS • Simucom Optimization Engine • Initial Solution Based on MILP • Tabu-search engine Enriched Palladio Model • Set of providers • Allocation profiles • Types of VMsAmazon Azure 24 Amazon Azure Google Candidate Cloud Providers
- 25. Conference service: improved Constellation architecture • Read intensive cloud application • High tolerance to eventual consistency • Solution: direct reads to easy to scale read only copies 25 W rites Reads
- 26. Daily Costs Trend 26 Infeasible region 50-100 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: XS conferenceReplica: XS 50-100 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: XS conferenceReplica: XS 150-250 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: M conferenceReplica: XS 150-250 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: M conferenceReplica: XS 300-400 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: M conferenceReplica: XS (2 at peaks) 300-400 Peak Users adminServer: XS svnAgent: XS httpAgent: XS coferenceAgent: M conferenceReplica: XS (2 at peaks)
- 27. 27 Update and Commit Model Response Times
- 30. 30 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Commercial exploitation of the Constellation Server • First commercial version since end 2014 • Developed during MODAClouds project • Using MODAClouds tools • Exploiting MODAClouds components • SaaS offering is coming next. • Implementation of new Cloud services are planned.
- 31. 31 www.modaclouds.euwww.modaclouds.eu FP7-ICT-2011-8-318484 Thank you! Visit us and adopt our tools at •Scientific website - http://www.modaclouds.eu •MultiClouds Alliance website - http://multiclouddevops.com •Creator 4Clouds - http://forge.modelio.org/projects/creator-4clouds/ •Constellation - https://www.modeliosoft.com/en/products/modelio-constellation.html … questions?
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- Good morning, I am Antonin Abherve , Software Engineer from Softeam and will present works realized during the last period on the Constellation case study (ex Project Management Server). > First I will present the case Study goals and requirements. > Second, I will talk about how and why we have integrated tools and methods developed in MODAclouds project to our case study. > And finally, I will present the future of Constellation server.
- Let’ start by a short presentation of the context in which the case study has been developed. Softeam is a French IT consulting company which work essentially on software engineering domain. Softeam is also a software vendor and develop two products: ECities, a workflow tool and MODELIO, an UML/BPM modeling tool. Modelio is a modeling solution delivering functionality for business, software and infrastructure architectures with Code and Documentation generation capabilities. Our case study, the constellation server is a web application which provide new functionalities related to Modelio.
- Now I will present our case Study goals and requirements and why we need to deploy it in a multi-cloud environment. Three years ago, we released a new version of Modelio. This release includes a new approach to organize projects and models in Modelio. From this date, we have define à Modelio project as a composition of several model fragments. A model fragment is a part of model stored in specific kind of repository ,based on specific technology wits specific features. (Writable, Unhittable, Local or Remote, Supporting or not Collaborative Work). Complexifications resulting of this new approach lead us to develop a new server to manage Project configurations, access right management and administration of remote model repository.
- Now i will present a short demo of Constellation and it integration with MODAClouds First, what is Constellation concretely ? Constellation is a web application witch allow us to manage all artifacts witch compose a Modelio project : Domains , Users, Work Fragments, Library, Modules. > Work Fragments are writable model fragments. They can be local or Remote. In Case of remote Fragments, the instances who host this fragments are managed by Constellation. > Libraries are Remote unwritable model fragments. They are accessible using HTTP protocol and hosted on instances managed by Constellation. > Modules are Functional extension for Modelio. Witch all of this element, we compose a project. As Modelio user, if I am register on a project,
- What does we expected of the MODACloud project? > First, a way to support our clients’ heterogeneity. Some of our customers want a dedicated server hosted on private cloud. Some others want to have to have an access to constellation as a Service. The number of Constellation users for one client can ben 5 peoples 3 hundread. Resulting of this situation we need to be able to adapt our deployment architecture quietly and at low cost We will see that Creator 4Cloud and CloudML 4cloud help us to archive this goal > The second point is that we need to be cost effective. It’s means , providing this services at chipper price. iit’s very important wjen we deliver Constellation as Software as a service approach. Because In this case, directs cost are supported by us. We will see that the Decision Support System (Venus 4Cloud) and Costs Evaluation and Performance AnalysisTool (SPACE Dev 4Clouds) help us in this way > Finaly, we need to be adaptive : We didn’t want to have to redefine a new process to deploy and maintain the server in each new configuration, for each new cloud providers. Q And we will see that tools of Runtime platfrom provide supports to archive this goal
- Now moving on why and how we have integrated tools and methods developed in MODAcloud project to our case study. In month twenty-for, we have integrated and evaluated some design time tools : Creator 4Clouds, CloudML 4Clouds , SPACE Dev 4Clouds During the last periods we have continued our work on time Design tools and integrate some runtime tools. At deign time, we have used Venues 4Clouds At runtime we have integrated Model @ runtime , Tower4Cloud, SPACE Ops 4Clouds and Feedback Loop We will see how we have used this tools in the next phase of this presentation
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- Number of supported IaaS >= 3 (>= 1 at M18; >=3 at M30) Amazon EC2, Flexiant, CloudSigma, Openstack, Azure plus all IaaS supported by jCloud. Number of supported PaaS >= 2 CloudML and the Models@Runtime engine support Cloud Foundry (public and private instances), AWS RDS, AWS SQS, AWS Beanstalk. In addition, the CPIM library offers support for various services of Azure, Google App Engine and Amazon. Number of Cloud providers supported by the deployment and monitoring solutions >= 5 Tower 4Clouds monitoring platform was tested on: Flexiant, Amazon EC2, Microsoft Azure, Heroku, OpenNebula, OpenStack, Eucalyptus. The Models@Runtime engine was tested against: EC2, Flexiant, OpenStack, CloudSigma, Azure, Pivotal, Cloud Foundry, CloudBees, AWS RDS, AWS SQS, AWS Beanstalk
- We used Creator4Clouds to : > Define a cloud ready architecture based on an assembly of scalable components. > Next, We used Creator4Clouds to model QoS constraints of our application and Plan monitoring strategy by definding a set of monitoring rules. > Finally, we used CloudML 4Cloud integrated to Creator 4 Cloud to model and test several deployment configurations for our application. As result : > Creator 4 Cloud provide us a methodological approach to develops a scalable multi-cloud application architecture > The CPIM /CPSM approach allow us to model on time our application architecture and to deploy it fooling several deployment configuration in different cloud provides. > This approach allowed us to limit the migration cost form on cloud provider to another cloud provider
- Based on Application architecture, deployment models and QoS constraints defined in Creator 4Cloud, we used SPACE Dev 4Clouds to analyses early several deployment scenarios. As result of the usage of this tool, we obtain an estimation of expected costs of each analyzed deployment scenarios. With this informations, We were able to chose an initial deployment scenario for our application. This deployment is adapted (in therm of size and number of instances for example) to our QoS constraints
- Layered Queueing Networks Stochastic models well-suited for software applications Extended Queueing Networks Apt to model: Interactions between Components Asynchronous/Synchronous calls Resource pooling Tool support: LQN Solver (LQNS) - U. Carleton LQN EngINE (LINE) – MODAClouds Fluid Solver for Layered Queueing Network Models Efficient and Scalable evaluation Fluid models: Set of ordinary differential equations Numerical solution Goes beyond the mean values studied by traditional techniques, e.g., time-varying metrics, transients, ...
- So what can we conclude from our usage of the tools and methods developed by modaclouds in context of our case study. About the devlopement of an application dedicatred to a cloud computing environment: In Current way, we had to configure , deploy and administrate manually our application in cloud environment,. We have also to adapt this application for each cloud provider With MODAClouds, we model our application architecture once and we gain the ability to deploy it foloing multiple deployment strategy on multiple clouds platforms About quality of Service management In Current way, we have to define a quality management process for each cloud platforms. With modacloud we can master the quality of each platform and integration new constraints related to multi cloud About Cost estimation : In Current way, we have to used Ad-hoc methods for costs and performance estimations With MODACLouds, we have a fine estimation of costs and performance before deploymentl. Finay , About runtimed management : In traditional way, we have to develop specific strategy to manage deployment, monitoring, scaling our components for each cloud providers With MODAClouds, whe have a global way to manage the life cycle of our application.
- One year ago, we released a first commercial version of constellation > This Application has been devloped during the MODAClouds project > During his devlopement, we used MODAClouds tools ( Creator 4Cloud, CloudML 4Cloud, SPACE Dev 4Clouds) > The next update of constellation will integrate MODACLouds runtime component (Tower 4Clouds and SPACE Ops 4Clouds ) With the experience acquire during the project, we are working now on an Software As A Service offer for constellation. And in close future, we plane to develop new Cloud Services in relation with Constellation and Modelio.