Cloud refactoring: automated transitioning to cloud-based services

作者:Young-Woo Kwon, Eli Tilevich

摘要

Using cloud-based services can improve the performance, reliability, and scalability of a software application. However, transitioning an application to use cloud-based services is difficult, costly, and error-prone. The required re-engineering effort includes migrating to the cloud the functionality to be accessed as remote cloud-based services and re-targeting the client code accordingly. In addition, the client must be able to detect and handle the faults raised in the process of invoking the services. As a means of streamlining this transitioning, we developed a set of refactoring techniques—automated, IDE-assisted program transformations that eliminate the need to change programs by hand. In particular, we show how a programmer can extract services, add fault tolerance functionality, and adapt client code to invoke cloud services via refactorings integrated with a modern IDE. As a validation, we have applied our approach to automatically transform two third-party Java applications to use cloud-based services. We have also applied our approach to re-engineer a suite of services operated by General Electric to use cloud-based resources to better satisfy the GE business requirements.

论文关键词:Cloud computing, Services, Refactoring, Service extraction, Fault-tolerance, Program transformation

论文评审过程:

论文官网地址:https://doi.org/10.1007/s10515-013-0136-9