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A classification of emerging and traditional grid systems
The grid has evolved in numerous distinct phases. It started in the early ’90s as a model of metacomputing in which supercomputers share resources; subsequently, researchers added the ability to share data. This is usually referred to as the first-generation grid. By the late ’90s, researchers had outlined the framework for second-generation grids, characterized by their use of grid middleware systems to “glue” different grid technologies together. Third-generation grids originated in the early millennium when Web technology was combined with second-generation grids. As a result, the invisible grid, in which grid complexity is fully hidden through resource virtualization, started receiving attention. Subsequently, grid researchers identified the requirement for semantically rich knowledge grids, in which middleware technologies are more intelligent and autonomic. Recently, the necessity for grids to support and extend the ambient intelligence vision has emerged. In AmI, humans are surrounded by computing technologies that are unobtrusively embedded in their surroundings.
However, third-generation grids’ current architecture doesn’t meet the requirements of next-generation grids (NGG) and service-oriented knowledge utility (SOKU).4 A few years ago, a group of independent experts, arranged by the European Commission, identified these shortcomings as a way to identify potential European grid research priorities for 2010 and beyond. The experts envision grid systems’ information, knowledge, and processing capabilities as a set of utility services.3 Consequently, new grid systems are emerging to materialize these visions. Here, we review emerging grids and classify them to motivate further research and help establish a solid foundation in this rapidly evolving area
Transport poverty meets the digital divide : accessibility and connectivity in rural communities
Peer reviewedPublisher PD
A Novel Gesture-based CAPTCHA Design for Smart Devices
CAPTCHAs have been widely used in Web applications to prevent service abuse. With the evolution of computing environment from desktop computing to ubiquitous computing, more and more users are accessing Web applications on smart devices where touch based interactions are dominant. However, the majority of CAPTCHAs are designed for use on computers and laptops which do not reflect the shift of interaction style very well. In this paper, we propose a novel CAPTCHA design to utilise the convenience of touch interface while retaining the needed security. This is achieved through using a hybrid challenge to take advantages of human’s cognitive abilities. A prototype is also developed and found to be more user friendly than conventional CAPTCHAs in the preliminary user acceptance test
A systematic literature review of cloud computing in eHealth
Cloud computing in eHealth is an emerging area for only few years. There
needs to identify the state of the art and pinpoint challenges and possible
directions for researchers and applications developers. Based on this need, we
have conducted a systematic review of cloud computing in eHealth. We searched
ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as
well as relevant open-access journals for relevant articles. A total of 237
studies were first searched, of which 44 papers met the Include Criteria. The
studies identified three types of studied areas about cloud computing in
eHealth, namely (1) cloud-based eHealth framework design (n=13); (2)
applications of cloud computing (n=17); and (3) security or privacy control
mechanisms of healthcare data in the cloud (n=14). Most of the studies in the
review were about designs and concept-proof. Only very few studies have
evaluated their research in the real world, which may indicate that the
application of cloud computing in eHealth is still very immature. However, our
presented review could pinpoint that a hybrid cloud platform with mixed access
control and security protection mechanisms will be a main research area for
developing citizen centred home-based healthcare applications
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