Towards a cloud-enabled Java EE platform Rok Povše, prof. dr. Matjaž Branko Jurič
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1 Towards a cloud-enabled Java EE platform Rok Povše, prof. dr. Matjaž Branko Jurič Univerza v Ljubljani Fakulteta za računalništvo in informatiko Laboratorij za integracijo informacijskih sistemov Kompetenčni center za SOA Center za računalništvo v oblaku
2 Java EE Client - Application 1 Web sites Client App Client s PC JavaServer Faces Strani Presentation Tier Beans Beans Buisness Tier Java EE Server Database Database Tier Database Server 2
3 Cloud Computing Paradigm for provisioning computing resources The most attention was recently given to: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) For this work, platform is the most relevant resource as a service Existing well-known PaaS providers: Windows Azure Google App Engine Elastic Beanstalk
4 Java EE in the cloud Current Java EE containers are not fully architected to execute applications in the cloud. No support for: multitenancy, elasticity and monitoring Multitenancy: Principle of sharing resource among several tenants Elasticity, scaling: Meeting the demand by scaling-up resources Monitoring: Monitoring usage, scaling, SLA/SLO Methodology: Identifying models of multitenant environment Identifying metrics to support scaling Identifying monitoring metrics Defining parameter system for identified metrics Defining Java meta-data based on parameter system Validate meta-data system
5 Multitenancy models Model type 1 Tenant 1 Tenant 2
6 Multitenancy models Model type 2 Tenant 1 Tenant 2
7 Multitenancy models Model type 3 Tenant 1 Tenant 2
8 Multitenancy models Model type 4 (Shared/Non-shared container)
9 Proposed parameter system Parameter group Parameter subgroup Description Monitoring Global application parameters Annotations for server related metadata and descriptor for controlling the location of application execution. Local parameters Annotations for CDN caching, annotations for triggering methods upon creation of new Web/EJB container and annotations for SLO violation notification. Elasticity Horizontal elasticity parameters Descriptors for defining: number of EJB/Web containers, rules for defining auto-scaling and descriptor (or annotation) for defining session replication type. Multitenancy EJB parameters Annotations for declaring EJB container either shared or unshared. JPA parameters Servlet parameters JMS parameters Bean scope parameters Mail session and DataSoruces Annotations for defining type of tenant isolation in database. Annotations for declaring Web container shared or unshared. Annotations for consuming tenant specific JMS Topics and Queues. Annotations for new tenant scoped bean. Annotations for defining multitenant DataSources and tenant-specific mail session.
10 Proposed parameter system Parameter group Parameter subgroup Description Monitoring Global application parameters Annotations for server related metadata and descriptor for controlling the location of application execution. Local parameters Annotations for CDN caching, annotations for triggering methods upon creation of new Web/EJB container and annotations for SLO violation notification. Elasticity Horizontal elasticity parameters Descriptors for defining: number of EJB/Web containers, rules for defining auto-scaling and descriptor (or annotation) for defining session replication type. Multitenancy EJB parameters Annotations for declaring EJB container either shared or unshared. JPA parameters Servlet parameters JMS parameters Bean scope parameters Mail session and DataSoruces Annotations for defining type of tenant isolation in database. Annotations for declaring Web container shared or unshared. Annotations for consuming tenant specific JMS Topics and Queues. Annotations for new tenant scoped bean. Annotations for defining multitenant DataSources and tenant-specific mail session.
11 Proposed parameter system Parameter group Parameter subgroup Description Monitoring Global application parameters Annotations for server related metadata and descriptor for controlling the location of application execution. Local parameters Annotations for CDN caching, annotations for triggering methods upon creation of new Web/EJB container and annotations for SLO violation notification. Elasticity Horizontal elasticity parameters Descriptors for defining: number of EJB/Web containers, rules for defining auto-scaling and descriptor (or annotation) for defining session replication type. Multitenancy EJB parameters Annotations for declaring EJB container either shared or unshared. JPA parameters Annotations for defining type of Servlet parameters tenant isolation in database. Annotations for declaring Web container shared or unshared. JMS parameters Annotations for consuming tenant specific JMS Topics and Queues. Bean scope parameters Annotations for new tenant scoped bean. Mail session and DataSoruces Annotations for defining multitenant DataSources and tenant-specific mail session.
12 Metadata system Metada-data system is developed from parameter system: 9 monitoring, 4 elascitcy, 9 @MailSession
13 Metadata system Example 1 Multitenant { MultitenantType type() default MultitenantType.SHARED; }; Example 2 (global application descriptor): <application id="id_app" > <display-name>application.ear</display-name> <description> Description. </description>... <provisioning-policy> <container name="ejb"> <instances count="5" /> </container>... = {"/SimpleServlet"}) public class SimpleServlet extends HttpServlet {... } Use case
14 Evaluation and conclusion Metadata for specifying number of EJB and number of Web containers was implemented on Java EE 6 compliant Oracle Glassfish Server Exchange rates application was implemented: Once on server without cloud specific extensions Once on server with cloud specific extensions Configuration time: In first case it took the user on average 54 seconds of manual intervention to configure cluster (trigger VM deployment, configure server) In second case, configuration tasks were executed in a just over 2 seconds. Even more important then time to configure: No need for personnel on stand-by waiting to take scaling action.
15 e-naslov: e-naslov: e-pošta:
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