17,456 research outputs found
Exploiting Yahoo: Pipes to Teach Computing Concepts
No full textEducators always encounter challenges to teach computing concepts to students with different educational backgrounds and computing experience. In this paper the author attempts to explore methods to improve the teaching of computing concepts using Yahoo! Pipes to students with no prior programming experience. The author uses Yahoo! Pipes to teach various computing concepts and makes use of familiar applications that are easy to develop, fun to use and strengthen the student's motivation to learn
Serverless is More: From PaaS to Present Cloud Computing
No full textIn the late-1950s, leasing time on an IBM 704 cost hundreds of dollars per minute. Today, cloud computing, that is, using IT as a service, on-demand and pay-per-use, is a widely used computing paradigm that offers large economies of scale. Born from a need to make platform as a service (PaaS) more accessible, fine-grained, and affordable, serverless computing has garnered interest from both industry and academia. This article aims to give an understanding of these early days of serverless computing: what it is, where it comes from, what is the current status of serverless technology, and what are its main obstacles and opportunities.Accepted author manuscriptData-Intensive System
Revisiting the Arguments for Edge Computing Research
No full textThis article argues that low latency, high bandwidth, device proliferation, sustainable digital infrastructure, and data privacy and sovereignty continue to motivate the need for edge computing research even though its initial concepts were formulated more than a decade ago.Accepted Author ManuscriptInformation and Communication Technolog
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
Interdisciplinary teaching and learning in computing science: three years of experience in the MoCSSy program
No full textOriginally appeared in the WCCCE '12: Proceedings of the Seventeenth Western Canadian Conference on Computing Education (Vancouver, BC, Canada; 4-5 May, 2012).
Simon Fraser University introduced the Modelling of Complex Social Systems Program (MoCSSy) as an interdisciplinary research program aimed at complex societal issues. Since its inception, the MoCSSy program has engaged a number of students from computing science, who worked on problems brought by their peers in fields such as obesity and criminology. In this paper, we introduce the organization and structure of MoCSSy, pointing to the importance of computing science in meeting the specific goals and objectives of the Program. Through an analysis of surveys completed with MoCSSy students, we conducted a preliminary assessment on the impact of the program for computing science majors and non majors. We found that the program successfully achieved many of its goals, as computing science majors and non-majors appreciated working with each other and made academic contributions that would not have been possible without this synergy. Finally, we analyze current challenges and identify a strategy for the way forward.Peer reviewedFinal article publishe
Definition and categorization of dew computing
No full textDew computing is an emerging new research area and has great potentials in applications. In this paper, we
propose a revised definition of dew computing. The new definition is: Dew computing is an on-premises
computer software-hardware organization paradigm in the cloud computing environment where the on-premises
computer provides functionality that is independent of cloud services and is also collaborative with cloud
services. The goal of dew computing is to fully realize the potentials of on-premises computers and cloud
services. This definition emphasizes two key features of dew computing: independence and collaboration.
Furthermore, we propose a group of dew computing categories. These categories may inspire new applications
Security, privacy, and trust management in DNA computing
No full textDNA computing is an emerging field that aims at enabling more efficient data storage and processing. One principle of DNA computing is to encode some information (e.g., image, video, programming scripts) into a digital DNA-like sequence and then synthesize the corresponding DNA molecule. Synthesizing this molecule using digital or real human genomic fragments theoretically opens the possibility for privacy attacks, which have been demonstrated on a large array of human genomic data. These privacy attacks aim at breaching the privacy of DNA samples, allowing an attacker to discover privacy-critical information from the partial or complete DNA information of an individual. In the context of DNA computing, novel privacy attacks will certainly emerge and could consist in discovering a part of a particular script or video that is privacy-critical. It is therefore important to consider whether privacy attacks and defense mechanisms can be used when manipulating genomic data. First, this chapter provides the background about genomic data, and its modern generation and processing. It then provides a survey on known genomic privacy attacks, and presents the privacy-enhancing technologies that have been designed to protect genomic data. Later, this chapter also introduces the current trust management methods one can rely on to further secure DNA storage and processing methods, before discussing how DNA computing currently relates to those attacks and privacy-preserving technologies. Finally, this chapter presents future research avenues.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Data-Intensive System
Provenance-based trust for grid computing: Position Paper
No full textCurrent evolutions of Internet technology such as Web Services, ebXML, peer-to-peer and Grid computing all point to the development of large-scale open networks of diverse computing systems interacting with one another to perform tasks. Grid systems (and Web Services) are exemplary in this respect and are perhaps some of the first large-scale open computing systems to see widespread use - making them an important testing ground for problems in trust management which are likely to arise. From this perspective, today's grid architectures suffer from limitations, such as lack of a mechanism to trace results and lack of infrastructure to build up trust networks. These are important concerns in open grids, in which "community resources" are owned and managed by multiple stakeholders, and are dynamically organised in virtual organisations. Provenance enables users to trace how a particular result has been arrived at by identifying the individual services and the aggregation of services that produced such a particular output. Against this background, we present a research agenda to design, conceive and implement an industrial-strength open provenance architecture for grid systems. We motivate its use with three complex grid applications, namely aerospace engineering, organ transplant management and bioinformatics. Industrial-strength provenance support includes a scalable and secure architecture, an open proposal for standardising the protocols and data structures, a set of tools for configuring and using the provenance architecture, an open source reference implementation, and a deployment and validation in industrial context. The provision of such facilities will enrich grid capabilities by including new functionalities required for solving complex problems such as provenance data to provide complete audit trails of process execution and third-party analysis and auditing. As a result, we anticipate that a larger uptake of grid technology is likely to occur, since unprecedented possibilities will be offered to users and will give them a competitive edge
FASCS: A Family Approach for Developing Scientific Computing Software
No full textScientific Computing (SC) software has had considerable success in achieving
improvements in the quality factors of accuracy, precision and efficiency. However
other software quality factors, such as reusability, maintainability, reliability
and usability are often neglected. This thesis proposes a new methodology,
Family Approach for developing Scientific Computing Software (FASCS), to
improve the overall quality of SC software. In particular, the aim is to benefit
the development of professional end user developed SC programs. FASCS is the first methodology to apply a family approach to develop
SC software, where all stages in both the domain engineering phase and the
application engineering phase are included. In addition, the challenges for SC
software and the characteristics of professional end user developers are also
considered. A proof of concept program family, FFEMP, which can solve elasticity
problems in solid mechanics using the Finite Element Method (FEM),
is developed to illustrate how the proposed methodology can be used. Part of FASCS is a new methodology for systematically eliciting, analyzing
and documenting common and variable requirements for a program
family. The methodology is termed Goal Oriented Commonality Analysis
(GOCA). GOCA proposes two layers of modeling, including the theoretical
model and the computational model, to resolve the conflict between the continuous
mathematical models that represent the underlying theories of SC
problems and the discrete nature of a computer. In addition, the theoretical
model and computational model are developed to be abstract and documented separately to improve reusability. Explicitly defined and documented terminology
for models and requirements are included in GOCA, which helps avoid
ambiguity, which is a potential source of reduced reliability. The traceability
of current and future changes is used to potentially improve reusability and
maintainability. FASCS includes a Family Member Development Environment (FMDE)
for the automatic generation of family members. FMDE is apparently the first
complete environment that facilitates automatically generating variable code
and test cases for SC program families. The variable code for a specific member
of the program family can be automatically generated from a list of variabilities
written in a Domain Specific Language (DSL), which is considerably easier
than manually writing code for the family member. Some benchmark test
cases for the program family can also be automatically generated. Since both family members and test cases can be automatically generated,
testing the program family can be performed on the same computational
domain with different computational variabilities. This provides partially independent
implementations for which test results can be compared to detect
potential flaws. This capability partly addresses the unknown solution challenge
for SC software. Documentation is also an important part of FASCS. Five new templates
for documenting requirements and design are proposed. Traceability
matrices, which provide relations between artifacts (and documents) in the
different stages of the process, can facilitate understanding of the programs.
The matrices can also improve reusability and maintainability by helping trace changes. Nonfunctional requirements, especially nonfunctional variable requirements,
are rarely considered in the development of program families. To the
knowledge of the author, nonfunctional variable requirements have never been
considered in the development of SC program families. Since some nonfunctional
requirements are important for SC software, FASCS proposes using
some decision making techniques, such as the Analytic Hierarchy Process, to
rank nonfunctional variable requirements and select appropriate components
to fulfill the requirements.ThesisDoctor of Philosophy (PhD
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