Production Methods for Cloud-compliant Web Services : A Case of Service Lambda for Cloud Computing(Theory and Methodology)

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  • クラウドに対応したWebサービスの生産方法 : Service Lambda for Cloud Computingによる具体化と検証(理論・技術)
  • クラウドに対応したWebサービスの生産方法 : Service Lambda for Cloud Computingによる具体化と検証
  • クラウド ニ タイオウ シタ Web サービス ノ セイサン ホウホウ : Service Lambda for Cloud Computing ニ ヨル グタイカ ト ケンショウ

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Abstract

Cloud computing has created a shift in the trend of IT services - from selling to leasing IT platforms as cloud services. In other words, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) have replaced software or hardware products with their functional service interfaces. This shift now introduces cloud vendors into the traditional BtoBtoC business model. IT service providers have to expand their roles as the tasks of implementing and con figuring IT systems will now be conducted by the cloud vendors. Due to this, the IT service providers should focus not only on implementing web services but also supporting a broad range of service delivery processes-planning, design, implementation, testing and operation. To meet such demands for IT services, this paper proposes production methods for cloud-compliant web services. The methods are underpinned by design engineering approaches - axiomatic design, design structure matrix and design-for-X. They are embodied with the development and operation tools, which are called Service Lambda for Cloud Computing. The tools feature the following two mechanisms: (1) a service model chain, which integrates each design or operation perspective and covers whole production process and (2) a knowledge processing unit, which reassembles lifecycle data and produces consolidated views for collaborative work between IT service providers and their clients. Each design and operational task is then systematized with the tools, and the whole production processes for web services are streamlined. A case study shows that the methods can shorten the delivery time of web services to end-users. In addition to these approaches, the paper indicates that further productivity of cloud-compliant web services can be achieved by patterning, storing and customizing these production processes for mass customization.

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