109,791 research outputs found
Ad hoc Cloud computing
No full textThis paper presents the first complete, integrated and end-to-end solution for ad hoc cloud computing en- vironments. Ad hoc clouds harvest resources from existing sporadically available, non-exclusive (i.e. primarily used for some other purpose) and unreliable infrastructures. In this paper we discuss the problems ad hoc cloud computing solves and outline our architecture which is based on BOINC
Academic Cloud computing research : five pitfalls and five opportunities
No full textDate of Acceptance: 25/04/2014This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic research lies. Instead academics should be conducting higher risk research, in order to gain understanding and open up entirely new areas. We call for a renewed mindset and argue that academic research should focus less upon physical infrastructure and embrace the abstractions provided by clouds through five opportunities: user driven research, new programming models, PaaS environments, and improved tools to support elasticity and large-scale debugging. The objective of this paper is to foster discussion, and to define a roadmap forward, which will allow academia to make longer-term impacts to the cloud computing community
Cloud Computing for brain segmentation technology
No full textThis paper introduces the brain segmentation technology offered by Cloud Computing. It explains eleven APIs associated with each brain segment, as well as the process of capturing data in regard to each segment. Functionality and experiments associated with each API are discussed. Dancing is chosen because data related to fast and skilled movements can be captured more easily. The results captured for each brain segment are discussed and used to explain why some segments are more active in dancing. With an emphasis in testing to ensure a high quality of data analysis and visualization, eleven Cloud APIs can produce results quickly, accurately and effectively. Simulations for brain segmentations can be used by Medical Cloud Computing Education (MCCE). Results of analysis confirms that Cloud Computing can offer 20% improvement in learning satisfaction. Benefits of using Cloud brain segmentation technology are presented. The use of Cloud Computing can make positive impacts to healthcare informatics and education
Assessing database and network threats in traditional and cloud computing
No full textCloud Computing is currently one of the most widely-spoken terms in IT. While it offers a range of technological and financial benefits, its wide acceptance by organizations is not yet wide spread. Security concerns are a main reason for this and this paper studies the data and network threats posed in both traditional and cloud paradigms in an effort to assert in which areas cloud computing addresses security issues and where it does introduce new ones. This evaluation is based on Microsoft’s STRIDE threat model and discusses the stakeholders, the impact and recommendations for tackling each threat
Government cloud computing and the policies of data sovereignty
No full textGovernment cloud services are a new development at the intersection of electronic government and cloud computing which holds the promise of rendering government service delivery more effective and efficient. Cloud services are virtual, dynamic and potentially stateless which has triggered governments' concern about data sovereignty. This paper explores data sovereignty in relation to government cloud services and how national strategies and international policy evolve. It concludes that for countries data sovereignty presents a legal risk which can not be adequately addressed with technology or through contractual arrangements alone. Governments therefore adopt strategies to retain exclusive jurisdiction over government information. --cloud computing,electronic government,data sovereignty,data ownership,information assurance,international data transfers
Case studies and sustainability modelling presented by cloud computing business framework
No full textCloud Computing Business Framework (CCBF) is proposed to help organisations achieve good Cloud design, deployment, migration and services. While organisations adopt Cloud Computing for Web Services, technical and business challenges emerge and one of these includes the measurement of Cloud business performance. Organisational Sustainability Modelling (OSM) is a new way to measure Cloud business performance quantitatively and accurately. It combines statistical computation and 3D Visualisation to present the Return on Investment arising from the adoption of Cloud Computing by organisations. 3D visualisation simplifies the review process and is an innovative way for Return of Investment (ROI) valuation. Two detailed case studies with SAP and Vodafone have been presented, where OSM has analysed the business performance and explained how CCBF offers insights, which are relatively helpful for WS and Grid businesses. Comparisons and discussions between CCBF and other approaches related to WS are presented, where lessons learned are useful for Web Services, Cloud and Grid communities
What is Hidden Within the Cloud?
No full textOver the past few years cloud computing has become one of the most significant technological trends. The aim of this paper is to discuss the main characteristics of cloud computing, identify the challenges concerning the security and control of information within the cloud and finally to examine how secure information can be in it. Section one gives an overview of the technology by presenting its key aspects and architecture. The security issues about its adoption are explored briefly in section two followed by possible ways to prevent these threats on section three. Finally, in section four the research focuses on the future of cloud computing and closes with an evaluation of how secure the cloud is on section five
Review of the environmental and organisational implications of cloud computing: final report.
No full textCloud computing – where elastic computing resources are delivered over the Internet by external service providers – is generating significant interest within HE and FE. In the cloud computing business model, organisations or individuals contract with a cloud computing service provider on a pay-per-use basis to access data centres, application software or web services from any location. This provides an elasticity of provision which the customer can scale up or down to meet demand. This form of utility computing potentially opens up a new paradigm in the provision of IT to support administrative and educational functions within HE and FE. Further, the economies of scale and increasingly energy efficient data centre technologies which underpin cloud services means that cloud solutions may also have a positive impact on carbon footprints. In response to the growing interest in cloud computing within UK HE and FE, JISC commissioned the University of Strathclyde to undertake a Review of the Environmental and Organisational Implications of Cloud Computing in Higher and Further Education [19]
Cloud Computing: Exploring the scope
No full textCloud computing refers to a paradigm shift to overall
IT solutions while raising the accessibility, scalability
and effectiveness through its enabling technologies.
However, migrated cloud platforms and services cost benefits as well as performances are neither clear nor summarized. Globalization and the recessionary economic times have not only raised the bar of a better IT delivery models but also have given access to technology enabled services via internet. Cloud computing has vast potential in terms of lean Retail methodologies that can minimize the operational cost by using the third party based IT capabilities, as a service. It will not only increase the ROI but will also help in lowering the total cost of ownership. In this paper we have tried to compare the cloud computing cost benefits with the actual premise cost which an organization incurs normally. However, in spite of the cost benefits, many IT professional believe that the latest model i.e. “cloud computing” has risks and security concerns. This report demonstrates how to answer the following questions: (1) Idea behind cloud computing. (2) Monetary cost benefits of using cloud with respect to traditional premise computing. (3) What are the various security issues and how these threats can be mitigated? We have tried to find out the cost benefit by comparing the Microsoft Azure cloud cost with the prevalent premise cost
Financial Clouds and modelling offered by Cloud Computing Adoption Framework
No full textCloud Computing Adoption Framework (CCAF) is a framework for designing and implementation of Could Computing solutions. This paper focuses on how CCAF can help to address portability in Cloud Computing implementations in Finance domain. Portability involves migrating entire applications from desktops to clouds and between different Clouds in a way which is transparent to users so they may continue to work as if still using their familiar systems. Reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen to demonstrate portability between desktops and clouds. A special technique in MCM, Variance-Gamma Process, is used for error corrections while performing analysis of good quality. Coding algorithm for MCM and BSM written in MATLAB are explained. Simulations for MCM and BSM are performed on different types of Clouds. Benchmark and experimental results are presented and discussed, together with implications for banking and ways to track risks in order to improve accuracy. We have used a conceptual Financial Cloud platform to explain how this fits into the CCAF, as well as Financial Software as a Service (FSaaS). Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, while demonstrating portability for CCAF and FSaaS
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