Cloud powered services composition using Public Cloud PaaS platform
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1 Cloud powered services composition using Public Cloud PaaS platform Student: Andrey Afanasyev Supervisor: Yuri Demchenko Graduate School of Informatics University of Amsterdam 3 February 2015
2 What is Cloud Computing Definition according to NIST SP The NIST Definition of Cloud Computing: Cloud computing is a model for enabling ubiquitous, convenient, ondemand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model is composed of five essential characteristics, three service models, and four deployment models. Source: 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 2
3 Cloud Computing Definition: Components 1. Five basic Cloud characteristics 1. On-demand self-service 2. Broad network access 3. Resource pooling 4. Rapid elasticity 5. Measured Service 2. Thee basic service models 1. Software as a Service (SaaS) 2. Platform as a Service (PaaS) 3. Infrastructure as a Service (IaaS) 3. Deployment models 1. Private clouds 2. Public clouds 3. Hybrid clouds 4. Community clouds Visual presentation of NIST Cloud Definition Broad Internet Access Infrastructure as a Service (IaaS) Federate d Clouds Rapid Elasticity Resources pooling and Virtualisation Infrastructure as a Service (IaaS) Measured Services On-demand Self-services Infrastructure as a Service (IaaS) Interclouds Public Private Hybrid Community Essential Characteristics Service Models Deployment Models 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 3
4 Managed by Provider Managed by Provider Managed by Provider Managed by User Managed by User Mang by User Mng User Relation between IaaS, PaaS, SaaS Packaged Application (Hosted) Cloud IaaS Cloud PaaS Cloud SaaS Source: IEEE Cloud Course, Tutorial 1 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 4
5 Research questions Primary How cloud can improve design-deployment-test-improvement business application development cycle? Secondary What are criteria and key performance indicators (KPI)? 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 5
6 Approach 1. Installation and configuration of the chosen software on a private and enterprise-oriented cloud 2. Stress testing and analysing results of the both environments 3. Interpreting and providing conclusions of acquired results 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 6
7 Private Cloud (Old Style Hosted) 1. Hardware based on london.studlab.os3.nl server (Dell PowerEdge R210): ITEM CPU VGA RAM HDD Description Intel XeonCPU 1.87GHz MGA G200eW WPCM450 (226MB) DDR3 1066MHz ECC 8192 MB (7966 available) WDC WD5002ABYS-1 500GB 1. Software: 1. Server OS: Ubuntu Server LTS 2. Virtualisation software: KVM/QEMU WebPanel: Nginx, WebVirtMgr 4. OpenERP (ODOO 8) as a SaaS 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 7
8 Why OpenERP (ODOO 8)? Multitenancy An important feature of cloud computing Three-tier architecture Developed in Python Source: 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 8
9 Why OpenERP (ODOO 8)? Source : 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 9
10 150 users (login) Measurement Results (Jmeter) All request are processed 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 10
11 200 users(login) Measurement Results (Jmeter) Increased number of dropped request 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 11
12 Microsoft Azure Why Microsoft Azure? Virtual Hardware (350 cores per subscription) Platform Development possibilities (.NET, Python, JavaScript etc ) Amount of services and Applications Ongoing SURFmarkt trial project with Microsoft Azure UvA is provided with free account and virtually unlimited resources Microsoft Azure Cloud services model: IaaS PaaS 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 12
13 Microsoft Azure PaaS WEBSITES + WEBHOSTING Deploy and scale modern websites and web apps:.net, Java, PHP, Node.js, Python Built-in AutoScale and Load Balancing High Availability with Autopatching SQL DATABASE A relational database-as-a-service that allows to access a tier-1 capabilities: SQL Databases MySQL MongoDB Service Bus SOA based applications integration Messaging service Queue Namespace and Access Control 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 13
14 Microsoft Azure Platform Layers Microsoft Azure AppFabric Access Control ServiceBus Caching SQL Azure Database Reporting DataSync Azure Cloud Core Services Compute Storage Management Connect 3 functional layers Microsoft Azure core services that include Compute, Storage, and Connect network connectivity service SQL Azure that include Database service and additionally Reporting and Data Synchronisation AppFabric applications fabric that provides a number of services for service integration such as Service Bus, Access Control and Caching. 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 14
15 Microsoft Azure Architecture (details) Source: Windows Azure Reference Architecture, /2/2015 ANDREY AFANASYEV MSC SNE UVA 15
16 Windows Azure Service Architecture 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 16
17 Scalable Application Archetype ( pay-as-you-go ) 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 17
18 Service Bus Queue Service Bus queues are a general-purpose technology that can be used for a wide variety of scenarios: Communication between Web and worker roles in a multi-tier Microsoft Azure application. On-premises apps and Microsoft Azure hosted apps in a hybrid solution. Components of a distributed application running on-premises in different organizations or departments of an organization Improves isolation between application tiers and layers Allows fine granular control over the messages properties (message filtering) 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 18
19 Problem OpenERP (ODOO 8) is not a part of Microsoft Azure PaaS Solution Install a website with a SQL server (Virto Commerce ) Configure Scaling and related instances (Website Dashboard) 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 19
20 Virto Commerce Part of Websites Services ASP.NET (C#) Azure SQL 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 20
21 Scale Configuration Standard Plan Large Instance Instance count 10 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 21
22 Monitoring 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 22
23 Measurement Results (Jmeter) An order increase in # processed request 2000 samples is stable limit to not get a Out of Memory Error by Jmeter on the client machine 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 23
24 Lessons Learned: Development Environment and Tools Tools WebMatrix3 Visual Studio 2013 Community (PHP, Python, C# etc ) Windows Azure SDK Deployment Slot Publishing Profiles Source Control (DropBox, GitHub, VisualStudio, CodePlex etc.) 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 24
25 Conclusion ADVANTAGES OF CLOUD COMPUTING 1. Cost Efficiency 2. Unlimited* Compute Power and Storage 3. Backup and Recovery 4. Easy Access 5. Global Availability and geo localisation 6. Quick Deployment 7. Availability of VM/Apps Marketplace (or VM Azure) DISADVANTAGES OF CLOUD COMPUTING 1. Control and Reliability 2. Security, Privacy and Compliance 3. Interoperability, Compatibility and vendor lock 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 25
26 Questions? 3/2/2015 ANDREY AFANASYEV MSC SNE UVA 26
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