6 research outputs found

    Cloud Application Portability: Issues and Developments

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    Cloud computing is a standard that is fast gaining momentum in the IT world. The availability of storage capacity that can be accessed and increased as the need arises makes computing easier. Applications can also be deployed using services provided by a cloud service provider. Portability allows utilization of applications and services across various domains. Portability could be in the area of programming language, application programming interface, data storage or data migration. Clearly, the easier it is to move services across various providers, the more attractive cloud computing becomes. The study was executed by means of review of some literature available on cloud application portability. This chapter examines current trends in cloud application portability area and gives focus for future research. In the present work, the objective is to answer the following question: what is the current trend and development in cloud application portability? Papers published in journals, conferences, white papers, and reputable magazines were analyzed. Some core topic facets were used in this review for the identification of trends in cloud application portability. The finding is that discussions on virtualization and API-specific issues are not adequate. This will be of benefit to prospective cloud users and even cloud providers

    [๊ตญ๋ฌธ ๋ฒˆ์—ญ๋ฌธ] ์‚ฌ๋ฌผํด๋ผ์šฐ๋“œ : ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…๊ณผ ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท์˜ ๊ต์ฐจ์ ์—์„œ์˜ ์˜๊ตญ์˜ ์ •๋ณด๋ณดํ˜ธ์™€ ์†Œ๋น„์ž๋ฒ•

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    ๊ธฐ์ˆ ์  ๋ฐœ์ „์„ โ€˜ํ˜๋ช…โ€™1)์œผ๋กœ ์ง€์นญํ•˜๋Š” ๊ฒƒ์€ โ€˜ํ˜ ๋ช…โ€™์ด โ€˜์ง€๊ฐ๋ณ€๋™์˜(disruptive)โ€™ ํ˜์‹ 2)์œผ๋กœ ์ด์–ด์งˆ ๊ฒƒ์ด๋ผ๊ณ  ์ด์•ผ๊ธฐํ•˜๋Š” ๊ฒƒ๋งŒํผ์ด๋‚˜ ํ”ํ•œ ์ผ์ด ๋˜๊ณ  ์žˆ๋‹ค. ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท3)์€ ์ฃผ๋ชฉํ•  ๋งŒํ•œ ํ˜„์ƒ์ด ๋˜๊ณ  ์žˆ ๋‹ค. ๊ทธ๋กœ ์ธํ•œ ๊ฒฝ์ œ์  ํŒŒ๊ธ‰ํšจ๊ณผ์™€ ์‚ฌํšŒ์  ๊ฐ€๋Šฅ์„ฑ์ด ๋Œ€๋‹จํžˆ ํด ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.4) ๊ทธ๋Ÿฌ๋‚˜ ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท ์ด ์šฐ๋ฆฌ์˜ ์‚ถ์„ ์–ด๋Š ์ •๋„๋กœ ๋ฐ”๋€Œ๊ฒŒ ํ• ์ง€ ๊ทธ๋ฆฌ๊ณ  ๋ฒ•์ ์ธ ๊ด€์ ์—์„œ, ํ˜„ํ–‰ ๊ทœ์น™์ด ๋ณ€๊ฒฝ๋˜๊ณ  ์ƒˆ๋กœ์šด ๊ทœ ์น™์ด ๋งˆ๋ จ๋˜์–ด์•ผ ํ•˜๋Š”์ง€ ์—ฌ๋ถ€ ๋ฐ ๊ทธ๋Ÿฌํ•œ ๋ณ€๊ฒฝ์˜ ์ • ๋„๋ฅผ ๊ฐ€๋Š ํ•˜๋Š” ๊ฒƒ์€ ์•„์ง์€ ์‹œ๊ธฐ์ƒ์กฐ์ด๋‹ค. ๋”ฐ๋ผ์„œ ์ˆœ์ง„ํ•œ ์ฐฌ์‚ฌ ๋Œ€์‹ , ๋ณธ ๋…ผ๋ฌธ์€ ์‚ฌ๋ฌผ์ธํ„ฐ ๋„ท, ๊ทธ๋ฆฌ๊ณ  ์‚ฌ๋ฌผ์ธํ„ฐ๋„ท๊ณผ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ… ๊ฐ„์˜ ๊ต ์ฐจ์ ์ธ ์†Œ์œ„ ์‚ฌ๋ฌผํด๋ผ์šฐ๋“œ๋ฅผ ์ •์˜ํ•˜๋ ค ํ•œ๋‹ค. ๊ธฐ๋ณธ ์ ์ธ ์š”์†Œ๋“ค์— ๋Œ€ํ•œ ๋ช…ํ™•ํ•œ ๊ทœ์ •๊ณผ ํ•จ๊ป˜, ์‚ฌ๋ฌผํด๋ผ ์šฐ๋“œ ๋ณต์žก์„ฑ์— ๊ด€ํ•œ ์—ฌ์„ฏ ์š”์†Œ์— ๋Œ€ํ•ด ๋…ผ์˜ํ•˜๊ณ  ๊ฐ€ ๋Šฅํ•œ ๊ทœ์ œ๋ฐฉ๋ฒ•๋“ค(๊ทœ์ œ, ๊ณต๋™๊ทœ์ œ, ์ž๊ธฐ๊ทœ์ œ, ์ „์ฒด๋ก  ์  ์ ‘๊ทผ, ์„ธ๋ถ„ํ™”)์„ ๋‹ค๋ฃจ๋„๋ก ํ•˜๊ฒ ๋‹ค. ์˜๊ตญ์˜ ๋ฒ•์ œ๋„์— ์ดˆ์ ์„ ๋งž์ถ”์–ด, ์˜๊ตญ์—์„œ์˜ ๋ฐœ ๋‹ฌํ˜„ํ™ฉ5)์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ  ์‚ฌ๋ฌผํด๋ผ์šฐ๋“œ๋กœ๋ถ€ํ„ฐ ์ œ ๊ธฐ๋˜๋Š” ์ฃผ์š”ํ•œ ๊ธฐ์ˆ ์ 6), ๋ฒ•์ 7) ์Ÿ์ ๋“ค ๋ช‡๋ช‡์„ ๋‹ค ๋ฃจ๋„๋ก ํ•œ๋‹ค. ๊ทœ์ œ๋‹น๊ตญ์ด ๋ณด๋‹ค ์ค‘์š”ํ•˜๊ฒŒ ์ƒ๊ฐํ•˜๋Š” ์ฃผ์ œ๋“ค, ์ฆ‰ ์ •๋ณด๋ณดํ˜ธ, ํ”„๋ผ์ด๋ฒ„์‹œ, ์†Œ๋น„์ž๋ฒ•์„ ํŠนํžˆ ๋” ์ค‘์ ์ ์œผ๋กœ ๋…ผ์˜ํ•˜๊ฒ ๋‹ค. ๊ด€๋ จ ๋ฒ•์  ์Ÿ์ ๋“ค์„ ์ฒ ์ €ํžˆ ๊ฒ€ํ† ํ•˜๊ณ  ์˜๊ตญ์˜ ์‚ฌ ๋ก€๋ฅผ ์ฐธ๊ณ ํ•จ์œผ๋กœ์จ ํ•œ๊ตญ์€ ์‚ฌ๋ฌผํด๋ผ์šฐ๋“œ์— ๊ด€ํ•œ ๊ทธ ํŠน๋ณ„ํ•œ ์ž ์žฌ๋ ฅ์„ ์‹คํ˜„์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๊ณ 8) ์„ธ๊ณ„ ์—์„œ ๊ฐ€์žฅ ์Šค๋งˆํŠธํ•œ ๊ตญ๊ฐ€๋กœ์„œ ๊ทธ ์ง€์œ„๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.9) ๋“œ๋ก , ๋ฌด์ธ์ž๋™์ฐจ ๊ทธ๋ฆฌ๊ณ  ์ƒ๋ช…๊ณตํ•™ ์— ๋Œ€ํ•œ ๊ทœ์ œ๋ฅผ ์™„ํ™”ํ•˜๊ฒ ๋‹ค๋Š” ๋ฐ•๊ทผํ˜œ ๋Œ€ํ†ต๋ น์˜ 2016๋…„ 5์›” 18์ผ์˜ ๋ฐœ์–ธ์€ ์ด๋Ÿฌํ•œ ๋ฐฉํ–ฅ์œผ๋กœ์˜ ์›€ ์ง์ž„์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค

    Clouds of Things. Data protection and consumer law at the intersection of cloud computing and the Internet of Things in the United Kingdom

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    The article critically analyses the Internet of Things (IoT) and its intersection with cloud computing, the so-called Clouds of Things (CoT). โ€˜Thingsโ€™ are understood as any physical entity capable of connectivity that has a direct interface to the physical world (i.e. a sensing and/or actuating capability). From another perspective (especially product liability), Things can be seen as an inextricable mixture of hardware, software, and services. Alongside a clarification of the essentials, the six factors of the CoT complexity are described and light is shed on the regulatory options (regulation, co-regulation, self-regulation, holistic approach, fragmentation). Focussing on the British legal systems, the article reports on the state of the art of CoT deployment in the United Kingdom and deals with some of the main technical and legal issues emerging from CoT. Particularly, the core will be data protection, privacy, and consumer law. Indeed, these themes are considered the most relevant by the regulators. By mastering the relevant legal issues and following the example of the United Kingdom, the Republic of Korea will be able to unleash its extraordinary potential as to the IoT, thus retaining its position as the smartest country in the world

    A Knowledge Management Based Cloud Computing Adoption Decision Making Framework

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    Cloud computing represents a paradigm shift in the way that IT services are delivered within enterprises. There are numerous challenges for enterprises planning to migrate to cloud computing environment as cloud computing impacts multiple different aspects of an organisation and cloud computing adoption issues vary between organisations. A literature review identified that a number of models and frameworks have been developed to support cloud adoption. However, existing models and frameworks have been devised for technologically developed environments and there has been very little examination to determine whether the factors that affect cloud adoption in technologically developing countries are different. The primary research carried out for this thesis included an investigation of the factors that influence cloud adoption in Saudi Arabia, which is regarded as a technologically developing country. This thesis presents an holistic Knowledge Management Based Cloud Adoption Decision Making Framework which has been developed to support decision makers at all stages of the cloud adoption decision making process. The theoretical underpinnings for the research come from Knowledge Management, including the literature on decision making, organisational learning and technology adoption and technology diffusion theories. The framework includes supporting models and tools, combining the Analytical Hierarchical Process and Case Based Reasoning to support decision making at Strategic and Tactical levels and the Pugh Decision Matrix at the Operational level. The Framework was developed based on secondary and primary research and was validated with expert users. The Framework is customisable, allowing decision makers to set their own weightings and add or remove decision making criteria. The results of validation show that the framework enhances Cloud Adoption decision making and provides support for decision makers at all levels of the decision making process
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