QAaaS in a Cloud IoT Ecosystem
Bogdan Ghilic-Micu (),
Marinela Mircea () and
Marian Stoica ()
Informatica Economica, 2017, vol. 21, issue 4, 5-14
Abstract:
The current transition state of the global society, both from economic and (mostly) technological perspective, goes – again – into overtime. Borrowed from fundamental domains and applied into science and research, the latest technological developments are built on graphene, silicene, phosphorene and stanene. The fourth industrial revolution changes perceptions and redefines the status of the individual, transforming him from con-sumer into pro-sumer of energy. Spintronics stimulates the production of accessories specific to the Internet of Things (IoT), like smart clothes connected to internet and implanted phones. Additionally, technology influences software development methodologies facing us with paradigms that transcend philosophies like green, grid, cloud computing and advance toward a superior manifestation of computer programming: Fog Computing (with the next level being presumably Rainbow Computing). Within this avalanche of transformations, technologies and paradigms, one aspect that has to evolve continuously is the quality assurance (QA). Hidden under various concept or methodology encapsulations, quality assurance in all fields and mostly in technological development and software paradigm play a key role. In an ecosystem defined by the context of Cloud IoT, quality assurance as service becomes a real challenge. In this paper we highlight the ways the ecosystem engages in its development not only things, beings, energies, sensors or objects but also technologies. One such popular technology is cloud computing which, in the context of IoT, sees a spectacular development of its own cluster of services, a potential such service being QAaaS.
Keywords: Quality Assurance; Cloud Computing; Internet of Things; Cloud Services Cluster; the Technological Ecosystem; Crowdsourcing. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:21:y:2017:i:4:p:5-14
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