23,662 research outputs found
A Factor Framework for Experimental Design for Performance Evaluation of Commercial Cloud Services
Given the diversity of commercial Cloud services, performance evaluations of
candidate services would be crucial and beneficial for both service customers
(e.g. cost-benefit analysis) and providers (e.g. direction of service
improvement). Before an evaluation implementation, the selection of suitable
factors (also called parameters or variables) plays a prerequisite role in
designing evaluation experiments. However, there seems a lack of systematic
approaches to factor selection for Cloud services performance evaluation. In
other words, evaluators randomly and intuitively concerned experimental factors
in most of the existing evaluation studies. Based on our previous taxonomy and
modeling work, this paper proposes a factor framework for experimental design
for performance evaluation of commercial Cloud services. This framework
capsules the state-of-the-practice of performance evaluation factors that
people currently take into account in the Cloud Computing domain, and in turn
can help facilitate designing new experiments for evaluating Cloud services.Comment: 8 pages, Proceedings of the 4th International Conference on Cloud
Computing Technology and Science (CloudCom 2012), pp. 169-176, Taipei,
Taiwan, December 03-06, 201
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The Perceived Business Benefit of Cloud Computing: An Exploratory Study
The objective of the research is to study the benefits of cloud computing perceived by adopters and examine the impact of moderating factors on the relationship between the type of cloud computing and the perceived benefit. The moderating factors include firm size and value-chain activities. A measurement instrument of a 5-point Likert scale was administered on businesses of different sizes in Taiwan. The benefit of cloud computing measured in the study were: cost reduction, improved capability and enhanced scalability. The results show that the perceived benefit of cloud computing varies depending on the type of cloud computing, the value chain activity where cloud computing is deployed, and the business size. Also, businesses benefit more in enhanced scalability than in cost reduction and increased business capability. After adopting cloud computing, businesses gain more capability in support activities than in primary activities. However, there is no significant difference in composite benefit among Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Furthermore, there is marginally significant interaction effect between the types of cloud computing and the business size
AN EXPLORATORY STUDY OF IT FIT MOTIVATION IN A CLOUD-COMPUTING CLASSROOM
In recent years, digital learning has received more attention from the field of education, and many schools in Taiwan have begun to introduce the cloud-computing classroom platform as another learning environment for students. However, as there remains a lack of research on fit and performance in the cloud-computing classroom, this study attempts to explore students’ views and effects when using the cloud-computing classroom. The research methods include case study and survey. Case study involved interviews with 18 students regarding their motivations and usage of the Ming Chuan University cloud-computing classroom. Based on the interview results, this study proposed three propositions, which were converted to three hypotheses. We collected data from a field survey and our results showed that (1) the user’s needs positively and affect the perceived fit; (2) the user’s usage of the cloud-computing classroom positively and affects the perceived fit; (3) the perceived fit in the usage of the cloud-computing classroom positively and affect user performance. Implications for academic researchers and practitioners are discussed
A Study of Effectiveness and Satisfaction Level of Cloud CRM Users in Taiwan\u27s Enterprises
Cloud computing in recent years has become a popular IT application. In Taiwan, enterprises currently using CRM (Customer Relationship Management) applications seek to take advantages of cloud computing features to enhance CRM effectiveness. However, despite international IT service providers’ investments in Taiwan’s market for establishing a cloud computing environment for CRM users, no statistics are available to reflect experience with actual use. Therefore, the purposes of this study are to understand the satisfaction levels of the current cloud CRM users (i.e., Taiwan’s enterprises) and to determine the key factors, which significantly affect enterprises’ managerial effectiveness and users’ satisfaction with cloud CRM. The basis for the research model is the Information System Success model and the characteristics of SaaS and CRM. This study has obtained contacts with Taiwan’s enterprises currently using cloud CRM, and the complete analyses of valid survey responses will occur shortly
Managing the far-Edge: are today's centralized solutions a good fit
Edge computing has established itself as the foundation for next-generation mobile networks, IT infrastructure, and industrial systems thanks to promised low network latency, computation offloading, and data locality. These properties empower key use-cases like Industry 4.0, Vehicular Communication and Internet of Things. Nowadays implementation of Edge computing is based on extensions to available Cloud computing software tools. While this approach accelerates adoption, it hinders the deployment of the aforementioned use-cases that requires an infrastructure largely more decentralized than Cloud data centers, notably in the far-Edge of the network. In this context, this work aims at: (i) to analyze the differences between Cloud and Edge infrastructures, (ii) to analyze the architecture adopted by the most prominent open-source Edge computing solutions, and (iii) to experimentally evaluate those solutions in terms of scalability and service instantiation time in a medium-size far Edge system. Results show that mainstream Edge solutions require powerful centralized controllers and always-on connectivity, making them unsuitable for highly decentralized scenarios in the far-Edge where stable and high-bandwidth links are not ubiquitous.This work has been partially funded by the H2020 collaborative Europe/Taiwan research project 5G-DIVE (grant no. 589881) and by the H2020 European collaborative research project DAEMON (grant no. 101017109)
What role does corporate governance play in the intention to use cloud computing technology?
This paper aims to investigate the factors which promote the adoption of cloud-based technology. It strives for a better understanding of the impact of corporate governance on the adoption of this technology. This study concentrated on executives in companies where the use of cloud computing may give a competitive advantage. The main contribution of this work is to propose a model for the influence of corporate governance and other factors that determine the adoption of this technology. A questionnaire was prepared after taking into consideration the reviewed literature. The sample consisted of 164 technology companies from Southern Spain that already use the new economic models for digital solutions. The methodology used to analyze the structural model was the Structural Equation Model (SEM). The results of the survey showed the influence of Corporate Governance and the procedures and practices of the organization on the adoption of cloud computing and the associated business model. This study aims to point out the importance of corporate support and Knowledge Management for the correct and successful adoption of this technology and to show the effects on the new business model of billing for the use of available resources. View Full-Tex
A Decision Framework for Cloud Service Selection for SMEs: AHP Analysis
[[abstract]]The purpose of this paper is to study how advances in cloud computing impact the processes of creating and running businesses over the tourism sector for small and medium-sized enterprises in Taiwan, and to identify the main factors that relate to the adoption of CRM cloud systems by SMEs. This study adopts two steps to build the structure of decision model with the analytic hierarchy process method. The findings confirm that factors affecting the adoption of Cloud CRM service in SMEs are grouped into four categories, which is financial benefits, marketing benefits, management factors, and environment factors. This study hopes to enhance the quality of the evaluation process, and help support SME decision makers in exploring their opportunities surrounding Cloud services adoption.[[notice]]補正完畢[[journaltype]]國外[[ispeerreviewed]]Y[[booktype]]紙本[[countrycodes]]US
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