Application Centric Lifecycle Framework in Cloud

Tang, Kai; Zhang, Jianming; Feng, Chen Hua

doi:10.1109/icebe.2011.32

Cited by 10 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In their majority however they address only parts of the requirements discussed in Section 3. For example, the Cloud Application Lifecycle Model (CALM) and its supporting framework is introduced in [35] without a provision for self-* characteristics or cost awareness. The same holds for [26] that discusses a cloud application lifecycle from a service governance perspective, and for the lifecycle presented in [28] which builds around the notion of blueprints as abstract templates for services to be published in application marketplaces.…”

Section: Related Workmentioning

confidence: 99%

Engineering Cloud-Based Applications: Towards an Application Lifecycle

Andrikopoulos

2018

Communications in Computer and Information Science

View full text Add to dashboard Cite

The adoption of cloud computing by organizations of all sizes and types in the recent years has created multiple opportunities and challenges for the development of software to be used in this environment. In this work-in-progress paper, the focus is on the latter part, providing a view on the main research challenges that are created for software engineering by cloud computing. These challenges stem from the inherent characteristics of the cloud computing paradigm, and require a multidimensional approach to address them. Towards this goal, a lifecycle for cloud-based applications is presented, as the foundation for further work in the area.

show abstract

Section: Related Workmentioning

confidence: 99%

Engineering Cloud-Based Applications: Towards an Application Lifecycle

Andrikopoulos

2018

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…A sub-technique of Model-driven approach is the Application Lifecycle Model as described in [24]. Here, the application-centric five cloud keys are identified, that is: 1) Application Design, 2) Development / Migration, 3) Deployment, 4) Maintenance and 5) Withdraw.…”

Section: Related Workmentioning

confidence: 99%

CloudWave: Where adaptive cloud management meets DevOps

Bruneo

Fritz

Keidar-Barner

et al. 2014

2014 IEEE Symposium on Computers and Communications (ISCC)

View full text Add to dashboard Cite

The transition to cloud computing offers a large number of benefits, such as lower capital costs and a highly agile environment. Yet, the development of software engineering practices has not kept pace with this change. The design and runtime behavior of cloud based services and the underlying cloud infrastructure are largely decoupled from one another, which limits both the efficiency of the cloud environment and the Quality of Service which can be delivered to the hosted applications. This paper describes the innovative concepts being developed by CloudWave to utilize the principles of DevOps to create an execution analytics cloud infrastructure where, through the use of programmable monitoring and online data abstraction, much more relevant information for the optimization of the ecosystem is obtained. Required optimizations are subsequently negotiated between the applications and the cloud infrastructure to obtain coordinated adaption of the ecosystem. Additionally, the project is developing the technology for a Feedback Driven Development Standard Development Kit which will utilize the data gathered through execution analytics to supply developers with a powerful mechanism to shorten application development cycles. Abstract-The transition to cloud computing offers a large number of benefits, such as lower capital costs and a highly agile environment. Yet, the development of software engineering practices has not kept pace with this change. Moreover, the design and runtime behavior of cloud based services and the underlying cloud infrastructure are largely decoupled from one another.This paper describes the innovative concepts being developed by CloudWave to utilize the principles of DevOps to create an execution analytics cloud infrastructure where, through the use of programmable monitoring and online data abstraction, much more relevant information for the optimization of the ecosystem is obtained. Required optimizations are subsequently negotiated between the applications and the cloud infrastructure to obtain coordinated adaption of the ecosystem. Additionally, the project is developing the technology for a Feedback Driven Development Standard Development Kit which will utilize the data gathered through execution analytics to supply developers with a powerful mechanism to shorten application development cycles.

show abstract

“…Nowadays, more and more software companies and organizations offer SaaS as a new software delivering and business model. Meanwhile, software development and testing services (e.g., cloud based IDE) are emerging recently [4]. However, if services are not well integrated and aligned with the software development process, it could cause additional management efforts.…”

Section: Introductionmentioning

confidence: 99%

Toward a Cloud Based Framework for Facilitating Software Development and Testing Tasks

Kao

Liu

Lin

2014

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

View full text Add to dashboard Cite

The cloud computing model enables efficient access to dynamic computing resources. As the growing of cloud computing related technologies, more and more software organizations and companies are considering the benefits to the software development and testing tasks. In this paper, a cloud based development and testing framework is introduced. Based on the advantages of different cloud computing models and technologies, the framework aims to integrate and provide corresponding tools to facilitate software development and testing tasks.

show abstract

Application Centric Lifecycle Framework in Cloud

Cited by 10 publications

References 8 publications

Engineering Cloud-Based Applications: Towards an Application Lifecycle

Engineering Cloud-Based Applications: Towards an Application Lifecycle

CloudWave: Where adaptive cloud management meets DevOps

Toward a Cloud Based Framework for Facilitating Software Development and Testing Tasks

Contact Info

Product

Resources

About