Software Development Methodology for Cloud Computing and Its Impact

2017 ◽  
pp. 286-307
Author(s):  
Chhabi Rani Panigrahi ◽  
Rajib Mall ◽  
Bibudhendu Pati
Keyword(s):  
Cloud Computing ◽  
Software Development ◽  
Agile Development ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Computing Platform ◽  
Development Methodology ◽  
Development Processes ◽  
Software Development Methodology ◽  
Computing Platforms

This chapter emphasizes mainly on the software development methodology basically agile methods of software development in cloud computing platforms and its impact on software development processes. This chapter also covers the benefits of agile development methodology in cloud computing platform. Along with this all traditional software development phases are analyzed to discuss the differences between the traditional software development processes and software development in cloud computing environment. This chapter also includes a brief description of programming models such as MapReduce, BSPCloud, and Dryad etc. available in the literature to handle big data in SaaS cloud. Finally, we highlight the challenges and future scope of software development process in cloud computing environment.

Software Development Methodology for Cloud Computing and Its Impact

2021 ◽  
pp. 151-172
Author(s):  
Chhabi Rani Panigrahi ◽  
Rajib Mall ◽  
Bibudhendu Pati
Keyword(s):  
Cloud Computing ◽  
Software Development ◽  
Agile Development ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Computing Platform ◽  
Development Methodology ◽  
Development Processes ◽  
Software Development Methodology ◽  
Computing Platforms

This chapter emphasizes mainly on the software development methodology basically agile methods of software development in cloud computing platforms and its impact on software development processes. This chapter also covers the benefits of agile development methodology in cloud computing platform. Along with this all traditional software development phases are analyzed to discuss the differences between the traditional software development processes and software development in cloud computing environment. This chapter also includes a brief description of programming models such as MapReduce, BSPCloud, and Dryad etc. available in the literature to handle big data in SaaS cloud. Finally, we highlight the challenges and future scope of software development process in cloud computing environment.

The Research on GIS Software Engineering Model Based on Cloud Computing Technology

2014 ◽  
Vol 687-691 ◽  
pp. 2871-2874
Author(s):  
Yan Liu
Keyword(s):  
Cloud Computing ◽  
Software Engineering ◽  
Software Development ◽  
Design Method ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Development Organization ◽  
Architecture Development ◽  
Gis Software ◽  
The Impact

In this paper, we mainly introduce the basic concepts of cloud computing and the characteristics of the GIS software engineering. Then we analyze the impact of cloud computing for GIS software development and discuss GIS software engineering design method in cloud computing environment from the GIS software architecture, development organization and deployment management three aspects. At last, put forward the proposals to the implementation of GIS software development in cloud computing environment.

A Trust Model of P2P in Cloud Computing Environment

2013 ◽  
Vol 278-280 ◽  
pp. 1962-1965
Author(s):  
Song Fei ◽  
Xiao Jing Wang ◽  
Zhe Cui
Keyword(s):  
Cloud Computing ◽  
Trust Model ◽  
Computing Environment ◽  
Trust Mechanism ◽  
Cloud Computing Environment ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cross Platform ◽  
Cloud Computing Platform ◽  
P2p Technology

Proposed a new trust model based on P2P technology in the cloud computing environment. The model takes into account more than one cloud computing platform, that is, considering the different cloud computing service provider provide the service of a cross-cloud platform. Such cross-platform cloud (Cross Cloud) can be called the composite cloud computing platform or cloud associated cloud computing platform.The nodes in the cloud computing environment are divided into two categories: customers and providers. According to the different roles of these two nodes, we designed a different trust mechanism, to divide the trust domain with independent single cloud, considered node independence and manageability of domain to process trust choice and trust update, and proposed a new kind of cloud computing service - trust recommendation service.

scholarly journals Modeling Distributed Agile Software Development Utilizing Cloud Computing: A Holistic Framework

2019 ◽  
pp. 1-12
Author(s):  
Ali Sever
Keyword(s):  
Cloud Computing ◽  
Software Development ◽  
Rapid Development ◽  
Agile Software Development ◽  
Distributed Teams ◽  
Agile Development ◽  
Computing Platform ◽  
Agile Methodology ◽  
Technological Advances ◽  
Agile Software

In distributed agile software development, to conquer the problems raised by rapid development of complex products with ever changing technological advances and risks, there is a need of a model with specific tools and technology supported approaches to manage them. Distributed environment has challenges and complexities in many ways of over collocated teams. However, they seem to enhance the basic principles in which agile methodology thrives on. Agile projects and distributed projects are compatible and therefore practices, principles, tools, and techniques for distributed agile software development are introduced to the distributed teams to ensure that the agile projects become successful. Although cloud computing is well established for software system developments, its effect on agile methodology has not been extensively studied. This study outlines how agile projects can be modeled in the cloud-computing era, namely, seamless agile-cloud integration. We propose a model to improve Agile Methodology in distributed computing platform. This model has uncovered a gap between the distributed agile development phases that are overemphasized and the phases that require actual attention. In addition to this, emphasis on appropriate phases would help build desired software that can exploit the benefits of cloud computing in numerous ways.

scholarly journals A Framework for Agile Development in Cloud Computing Environment

2016 ◽  
Vol 17 (5) ◽  
pp. 67-74 ◽  
Author(s):  
Muhammad Younas ◽  
Imran Ghani ◽  
Dayang Norhayati Abang Jawawi ◽  
Muhammad Murad Khan
Keyword(s):  
Cloud Computing ◽  
Agile Development ◽  
Computing Environment ◽  
Cloud Computing Environment

Cloud Computing

2012 ◽  
pp. 191-207 ◽  
Author(s):  
Shantanu Pal
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Effective Means ◽  
Cloud Service ◽  
Security And Privacy ◽  
Cloud Infrastructure ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Security Issues ◽  
Computing Platforms

In a cloud ecosystem, most of the data and software that users use reside on the remote server(s), which brings some new challenges for the system, especially security and privacy. At present, these security threats and attacks are the greatest concern for the service providers towards delivering a more secure cloud infrastructure. One of the major concerns is data security, implemented by the most effective means possible and the protection of stored data from unauthorized users and hackers. When considering these security issues, trust is one of the most important means to improve the system’s security and enable interoperability of current heterogeneous cloud computing platforms. The objective of this chapter is to discuss and understand the basic security and privacy challenges of a cloud computing environment as the security of cloud computing is the greatest challenge for delivering a safer cloud environment for both the service providers and the service customers. With this in mind, this chapter will introduce the risks and possible attacks in a cloud computing environment. The major goal is to specify the security risks and attacks and consider trust of cloud service users for delivering a safer and innovation business model.

Information Evaporation: The Migration Of Information To Cloud Computing Platforms

2012 ◽  
Vol 16 (4) ◽  
pp. 291
Author(s):  
David Reavis
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Access ◽  
Time Lapse ◽  
Early Years ◽  
Computing Environment ◽  
Central System ◽  
Cloud Computing Environment ◽  
Transmission Distance ◽  
Computing Platforms

The physical location for data used in every organization ebbs and flows as technology improves. In the early years of computing, data were stored on the central system because that was the only choice. As communication technology advanced, a decentralized model became popular and data were stored nearer to the place it would be used. Another leap in telecommunications prompted a move back to centralized data storage, mostly because access speeds allowed the data to be used remotely with minimal time lapse due to transmission distance. The most recent transition for housing data is to move data from various databases, some centralized and some localized, into the cloud. The benefits of moving information to a cloud computing environment have made it attractive to organizations recently. Converting data from one platform to another is done regularly by IT professionals. In each of the transitions described above, data had to be converted in some way and transitions to updated computing platforms are not uncommon. In this paper, the term information evaporation will be used to distinguish the move of information to the cloud from other conversion activities, such as system upgrades or platform transitions. Converting data from a traditional database environment to an Internet-based cloud computing environment requires a different approach to security, attention to avoiding creating information silos, and development of data tags, such as eXtensible Markup Language (XML), to facilitate cross platform data access.

Cost-Effectiveness of Methodologies to Develop Software for IT-Projects (As Exemplified by the “Waterfall” and the “Agile Development” Methodologies)

2015 ◽  
Vol 3 (2) ◽  
pp. 30-33
Author(s):  
Иванов ◽  
A. Ivanov ◽  
Иванова ◽  
O. Ivanova
Keyword(s):  
Cost Effectiveness ◽  
Software Development ◽  
Cost Effective ◽  
Agile Development ◽  
It Projects ◽  
Development Methodology ◽  
Develop Software ◽  
Software Development Methodology

The paper considers issues related to the choice of more cost-effective methodologies of developing software needed for implementation of ITprojects. Also described are the most conventional methodologies of IT-projects development, along with their main features, specifics and terms of use. Factors, allowing to opt for the “waterfall” software development methodology or for the agile development methodology are identified.

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