Model-Based Application Deployment on Cloud Computing

2. Related Work

Many efforts have been made to help developers deploy and manage their applications on heterogeneous PaaS and IaaS platforms. These efforts are presented in APIs form and could be organized into three categories. These categories depend on approaches (Talwar et al., 2005) on which the majority of deployment APIs are based.

Many tasks in the management of systems and application operations are already automated using scripts. These scripts are usually copied by hand to the target system on which they are executed. Compared to plans, these scripts can be considered micro-flows: small isolated jobs that can be executed quickly and do not require transactional support (Szyperski, 2003). This type of approach reduces the risk of human error during the manual deployment process, and for the developer, the developer takes care of application development instead of a cloud computing configuration.

This type of approach reduces the risk of human error during the manual deployment process, and for the developer, the developer takes care of application development instead of a cloud computing configuration. Generally, when applications are small or system configurations rarely change, the script approach is the reasonable solution. Among the works that have adopted this approach is the work of MUTIARA (Mutiara et al., 2014).