443 research outputs found
The Anatomy of the Grid - Enabling Scalable Virtual Organizations
"Grid" computing has emerged as an important new field, distinguished from
conventional distributed computing by its focus on large-scale resource
sharing, innovative applications, and, in some cases, high-performance
orientation. In this article, we define this new field. First, we review the
"Grid problem," which we define as flexible, secure, coordinated resource
sharing among dynamic collections of individuals, institutions, and
resources-what we refer to as virtual organizations. In such settings, we
encounter unique authentication, authorization, resource access, resource
discovery, and other challenges. It is this class of problem that is addressed
by Grid technologies. Next, we present an extensible and open Grid
architecture, in which protocols, services, application programming interfaces,
and software development kits are categorized according to their roles in
enabling resource sharing. We describe requirements that we believe any such
mechanisms must satisfy, and we discuss the central role played by the
intergrid protocols that enable interoperability among different Grid systems.
Finally, we discuss how Grid technologies relate to other contemporary
technologies, including enterprise integration, application service provider,
storage service provider, and peer-to-peer computing. We maintain that Grid
concepts and technologies complement and have much to contribute to these other
approaches.Comment: 24 pages, 5 figure
Context Aware Computing for The Internet of Things: A Survey
As we are moving towards the Internet of Things (IoT), the number of sensors
deployed around the world is growing at a rapid pace. Market research has shown
a significant growth of sensor deployments over the past decade and has
predicted a significant increment of the growth rate in the future. These
sensors continuously generate enormous amounts of data. However, in order to
add value to raw sensor data we need to understand it. Collection, modelling,
reasoning, and distribution of context in relation to sensor data plays
critical role in this challenge. Context-aware computing has proven to be
successful in understanding sensor data. In this paper, we survey context
awareness from an IoT perspective. We present the necessary background by
introducing the IoT paradigm and context-aware fundamentals at the beginning.
Then we provide an in-depth analysis of context life cycle. We evaluate a
subset of projects (50) which represent the majority of research and commercial
solutions proposed in the field of context-aware computing conducted over the
last decade (2001-2011) based on our own taxonomy. Finally, based on our
evaluation, we highlight the lessons to be learnt from the past and some
possible directions for future research. The survey addresses a broad range of
techniques, methods, models, functionalities, systems, applications, and
middleware solutions related to context awareness and IoT. Our goal is not only
to analyse, compare and consolidate past research work but also to appreciate
their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201
Quality assessment technique for ubiquitous software and middleware
The new paradigm of computing or information systems is ubiquitous computing systems. The technology-oriented issues of ubiquitous computing systems have made researchers pay much attention to the feasibility study of the technologies rather than building quality assurance indices or guidelines. In this context, measuring quality is the key to developing high-quality ubiquitous computing products. For this reason, various quality models have been defined, adopted and enhanced over the years, for example, the need for one recognised standard quality model (ISO/IEC 9126) is the result of a consensus for a software quality model on three levels: characteristics, sub-characteristics, and metrics. However, it is very much unlikely that this scheme will be directly applicable to ubiquitous computing environments which are considerably different to conventional software, trailing a big concern which is being given to reformulate existing methods, and especially to elaborate new assessment techniques for ubiquitous computing environments. This paper selects appropriate quality characteristics for the ubiquitous computing environment, which can be used as the quality target for both ubiquitous computing product evaluation processes ad development processes. Further, each of the quality characteristics has been expanded with evaluation questions and metrics, in some cases with measures. In addition, this quality model has been applied to the industrial setting of the ubiquitous computing environment. These have revealed that while the approach was sound, there are some parts to be more developed in the future
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