The PIM4Cloud modeling language has been developed by SOFTEAM and its partners during the REMICS FP7 project. In this presentation we motivate this language; describe its current state; detail an case study; and discuss about its future developments.

1. PIM4Cloud
A PIM for Cloud Application Engineering
Marcos ALMEIDA
SOFTEAM - France

2. What is PIM4Cloud?
 UML profile for
 describing IT systems deployment to cloud platforms
 from an application designer perspective
 Inputs from different partners
 SOFTEAM
 Enterprise Architecture approach and TOGAF modeling initiative
 Tecnalia
 SINTEF
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3. Why PIM4Cloud?
 Need to describe a deployment to
cloud platforms at UML level of abstraction
 Why not UML deployment diagrams?
Cloud specific concerns:
• Geographical distribution?
• Public, private hosting?
• Instantiation of new computation resources?
• Packaging of Too generic!
Virtual Machines to host an IT system?
• Automatic deployment of Virtual Machine images?
• Generation of deployment scripts?
• Help in migration from one provider to another?
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4. Which cloud layer should PIM4Cloud
focus on?
Software as
 Infrastructure as a Service (IaaS): a Service
 a platform virtualization Platform as a Service
environment as a service.
 Platform as a Service (PaaS): Infrastructure as a Service
 a computing platform and
solution stack as a service.
 Software as a Service (SaaS):
 software as a service over the
Internet.
 Different Issues for each layer.
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5. Why isn’t PIM4Cloud at PaaS/SaaS
levels?
 Cloud platforms at these layers are all significantly
different.
 They propose different libraries, language mechanisms,
scalable data storage means.
 This all is on the design level, not on the deployment
level!
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6. Again, why is PIM4Cloud at IaaS
level?
 Great similarities between IaaS cloud platforms:
 computation and storage resources,
 virtual machine images,
 APIs.
 IaaS technical domain is currently stable.
 It is time to develop systems!
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7. PIM4CLOUD: THE LANGUAGE
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8. Overview
 Metamodel  UML Profile
Image Type Description
CloudApplication Application whose architecture is based on the use of a
cloud computing platform.
CloudProvider Service provider of a platform for cloud computing.
PublicCloud Public cloud computing platform, provided by an external
provider.
PrivateCloud Private cloud computing platform installed and managed
directly by the end user.
CloudResource Collection of resources provided by a cloud computing
Set platform.
CloudResource Generic resource provided by a cloud computing
platform.
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9. The Big Picture
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10. Main Concepts
 Cloud Application
 Physical Infrastructure
 Network Node, Switch, Workstation...
 Cloud Infrastructure Providers
 Public / Private Cloud
 Cloud Resources
 Operating Systems
 Application Frameworks,
 Application Components
 Storage...
 Resources (anything else...)
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11. INTERNAL CASE STUDY : THE
MODELIO SAAS SYSTEM
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12. Modelio – A Unique Modeling
Solution Business & Information System
• Enterprise Architecture (EA)
• Business Process (BPMN)
Vision and Scoping System, Logical Architecture &
BPMN Software Modeling
SysML
APIs, 3rd party tools
integration OpenXML
• IDE, RME, BPM, Workflow,… XSD
C#
HTML
Reports & Documentation
Generation
BPEL, WSDL, XSD
Multi-target platforms
• code generation and reverse engineering
• Frameworks : Hibernate
www.modeliosoft.com 12

13. Modelio SVN Teamwork Server
 Limitations:
 Requires Physical
Infrastructure
 Management
 Scaling...
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14. Modelio SaaS: enabling multi-user
modeling in the Cloud
 Model repository in the cloud
 Easy instantiation
 Transparent replication
 High speed accessibility
 High availability
 Load balancing
 Scalability
 Features
 Rich-client
 Model repository
 Roles management
 Publish/share model web-
docs

15. Modeling the High-level architecture
of the Application
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16. Modeling the Physical Architecture
Image Type
NetworkNode
NetworkConnexion
Server
WorkStation
Network
Router
Switch
Bus
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17. Modeling High-level Software
Deployment
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18. Conclusion
 The PIM4Cloud language
 Support the Designer of a Cloud based Application
 High-level design of the deployment architecture
 Current state
 UML Profile / Meta-model + Modeling Tool
 Perspectives
 Proactively developing the specification and issue PIM4Cloud RFP
at OMG
 Support for code generation aimed at cloud computing platforms
 Fully automated deployment
 Verification and Reasoning
 Big Data support…
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19. More on Big Data Support
 What are Big Data Systems?
 Dominated by the amount of data and
the speed in which it must be processed
 This is an important subset of cloud applications!
 Why is it complicated?
LHC (Hadron Collider)
 Current platforms do not 300 Gb/s  filtered  300Mb/s
provide real-time guarantees
 New platforms: NoSQL Databases
 In terms of modeling…
SQL Present
Databases
NoSQL Future
Databases
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20. Thank you very much for your attention
Your questions, please?
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