Multiple platform IT service deployment

Abstract

Nowadays, the trend of cloud computing is the hybrid approach [9] (a cooperation between multiple cloud type such as private cloud and public cloud). However, it is not easy to establish the IT services based on that approach. Most major cloud vendors use proprietary APIs and toolkits to interact with their platform. Thus, one of the biggest challenges is to deploy applications and services to multiple cloud platforms belong to different providers. The huge amount of time and effort for managing nodes in multiple platforms discourages users following hybrid approach. Such challenges impede the combination of multiple cloud and platforms. The second matter we would like to mention is deploying IT systems repeatedly in different cloud frameworks. Several software companies build a core product and deploy it multiple times in clients’ infrastructure. To meet that demand, many cloud providers support modelling IT system architecture via template file. With that template, users can establish that systems multiple times in the cloud framework. However, different cloud platforms support different syntax of template files. If we want to deploy in different cloud provider, we need to convert the template file to adapt the syntax of new system. In this thesis, we propose the solution to overcome above impediments. Our contributions are threefold. First, we improve the portability and interoperability of cloud framework by resolving the difficulty of machine creation and deployment in different cloud environment. Second, we propose the service template that can be used to deploy software service into diversity of cloud platforms. With that syntax, users can create the services, upload to the system and deploy it on desired cloud. Finally, we build the tool to use this template to perform actual deployment into ix several famous cloud frameworks. With this tool, we illustrate our solution by constructing the web base system that can use the given template to create numerous virtual machines and configuring that machine with defined script. We tested the system carefully in five different cloud platforms: Amazon Web Service [15], Google Cloud [16], HP Cloud [17], TryStack [18], and a local deployed OpenStack [19]. On each platform, we deploy some services using Puppet [20] such as Tomcat [21], Hadoop [22]. With the result we have, we want to emphasis the ability to establish our desiring applications or services into diversified cloud platforms in the same time. Keywords: Cloud computing, Multiple Cloud Platforms, Cloud Deployment, Cloud portability and interoperability.