Self-adaptive cloud-based applications. Alessandro Rossini Future Internet Assembly, Athens 17 March 2014
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1 Self-adaptive cloud-based applications Alessandro Rossini Future Internet Assembly, Athens 17 March 2014
2 Challenge
3 Wed, 19 Feb Facebook acquires WhatsApp
4 Wed, 19 Feb Facebook acquires WhatsApp Sat, 22 Feb 1.8 million users register to Telegram
5 Wed, 19 Feb Facebook acquires WhatsApp Sat, 22 Feb 1.8 million users register to Telegram and Telegram crashes
6
7 Self-adaptive cloud-based applications Cloud-based applications that self-adapt to changes in environment and requirements
8 Self-adaptive cloud-based applications Cloud-based applications that self-adapt to changes in environment and requirements
9 Dynamically adaptive systems Continuous design and adaptation Short-term changes in execution environment Long-term changes in system requirements
10 Cloud-based applications
11 Cloud-based applications Virtualisation IaaS Servers Storage Network
12 Cloud-based applications Run-time OS PaaS IaaS Virtualisation Servers Storage Network
13 Cloud-based applications Applications Data Run-time SaaS PaaS IaaS OS Virtualisation Servers Storage Network
14 SensApp example
15
16 Design-time deployment model Notifier [elasticity: 1..4 response time < 50ms] Tomcat:SC SL:VM Flexiant [location: UK] Dispatcher Tomcat:SC [elasticity: 1..8] LL:VM MongoDB [elasticity: 1..8] VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux ML: Medium GNU/Linux LL: Large GNU/Linux SINTEF (OpenStack) [location: NO]
![[elasticity: 1..8] LL:VM MongoDB [elasticity: 1.](/docs-images/42/8984993/images/page_16.jpg ".8] VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux")
17 Run-time deployment model 1:Notifier 2:Tomcat LB [response time = 20ms] 1:SL Flexiant [location: UK] 1:Dispatcher 1:Tomcat LB 1:LL 1:MongoDB LB 2:MongoDB VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux ML: Medium GNU/Linux LL: Large GNU/Linux SINTEF (OpenStack) [location: NO]
18 Run-time deployment model 1:Notifier 2:Tomcat LB [response time = 80ms] 1:SL Flexiant [location: UK] 1:Dispatcher 1:Tomcat LB 1:LL 1:MongoDB LB 2:MongoDB VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux ML: Medium GNU/Linux LL: Large GNU/Linux SINTEF (OpenStack) [location: NO]
19 Run-time deployment model 1:Notifier 2:Tomcat LB [response time = 80ms] 1:SL Flexiant [location: UK] 1:Dispatcher 1:Tomcat LB 2:Dispatcher 3:Tomcat 1:LL 1:MongoDB LB 2:MongoDB VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux ML: Medium GNU/Linux LL: Large GNU/Linux SINTEF (OpenStack) [location: NO]
20 Run-time deployment model 1:Notifier 2:Tomcat LB 2:Notifier 4:Tomcat [response time = 20ms] 1:SL Flexiant [location: UK] 1:Dispatcher 1:Tomcat LB 2:Dispatcher 3:Tomcat 1:LL 1:MongoDB LB 2:MongoDB VM: Virtual machine SC: Servlet container LB: Load balancer SL: Small GNU/Linux ML: Medium GNU/Linux LL: Large GNU/Linux SINTEF (OpenStack) [location: NO]
21
22 Current model
23 Reasoning engine Current model
24 Reasoning engine Target model Current model
25 Reasoning engine Target model Diff Current model
26 Reasoning engine Target model Diff Current model Adaptation engine
27 Reasoning engine Target model Diff Current model Adaptation engine Execution environments
28 Reasoning engine Target model Diff Current model Adaptation engine Execution environments
29 PaaSage platform
30
31 Cloud-based application
32 PaaSage platform Cloud-based application
33 Cloud-based application PaaSage platform CAMEL Provisioning and deployment model Requirements and constraints Service-level objectives Scalability rules
34 Cloud-based application PaaSage platform CAMEL Provisioning and deployment model Requirements and constraints Service-level objectives Scalability rules Design-time optimisation loop Profiler Reasoner Adapter
35 Cloud-based application PaaSage platform CAMEL Provisioning and deployment model Requirements and constraints Service-level objectives Scalability rules Run-time optimisation loop Design-time optimisation loop Profiler Reasoner Adapter Execution control Execution monitoring Platform specific mapping Execution environments
36 Cloud-based application Metadata sharing PaaSage platform CAMEL Provisioning and deployment model Requirements and constraints Service-level objectives Scalability rules Run-time optimisation loop Design-time optimisation loop Profiler Reasoner Adapter Execution control Execution monitoring Metadata collection Platform specific mapping Social network Metadata Execution environments
37 Cloud Application Modelling and Execution Language (CAMEL) Saloon WS-Agreement Scalability Rule Language CERIF
38 Thank you! More info: paasage.eu Get in alessandrorossini.org
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