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Designing the Market of Data - For Practical Data Sharing via Educational and Innovative Communications
Get PDFThis special issue of Open Journal of Information Systems (OJIS) reports work on designing the market of data for practical data sharing via educational and innovative communications (MoDAT). In the market of data, data are reasonably dealt with sold, opened, or shared based on negotiation. Since last years, we have been aiming at realizing a social environment, where each person feels free to share one's own and others' data for learning the latent value of data without fearing the loss of business opportunities. In the market, data and analysts' knowledge are shared by selling and buying, with reasonably determining the conditions for sharing. People in the market may communicate with each other in order to decide to expose the data as open-source, if the trust of the data provider is expected to be elevated highly due to the contribution to people in the public. Thus the Market of Data means a place where the value of data and knowledge can be externalized. OJIS is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals
Big Data in the Cloud: A Survey
Get PDFBig Data has become a hot topic across several business areas requiring the storage and processing of huge volumes of data. Cloud computing leverages Big Data by providing high storage and processing capabilities and enables corporations to consume resources in a pay-as-you-go model making clouds the optimal environment for storing and processing huge quantities of data. By using virtualized resources, Cloud can scale very easily, be highly available and provide massive storage capacity and processing power. This paper surveys existing databases models to store and process Big Data within a Cloud environment. Particularly, we detail the following traditional NoSQL databases: BigTable, Cassandra, DynamoDB, HBase, Hypertable, and MongoDB. The MapReduce framework and its developments Apache Spark, HaLoop, Twister, and other alternatives such as Apache Giraph, GraphLab, Pregel and MapD - a novel platform that uses GPU processing to accelerate Big Data processing - are also analyzed. Finally, we present two case studies that demonstrate the successful use of Big Data within Cloud environments and the challenges that must be addressed in the future
An Analytical Model of Multi-Core Multi-Cluster Architecture (MCMCA)
Get PDFMulti-core clusters have emerged as an important contribution in computing technology for provisioning additional processing power in high performance computing and communications. Multi-core architectures are proposed for their capability to provide higher performance without increasing heat and power usage, which is the main concern in a single-core processor. This paper introduces analytical models of a new architecture for large-scale multi-core clusters to improve the communication performance within the interconnection network. The new architecture will be based on a multi - cluster architecture containing clusters of multi-core processors
Detecting Vital Documents in Massive Data Streams
Get PDFExisting knowledge bases, includingWikipedia, are typically written and maintained by a group of voluntary editors. Meanwhile, numerous web documents are being published partly due to the popularization of online news and social media. Some of the web documents, called "vital documents", contain novel information that should be taken into account in updating articles of the knowledge bases. However, it is practically impossible for the editors to manually monitor all the relevant web documents. Consequently, there is a considerable time lag between an edit to knowledge base and the publication dates of such vital documents. This paper proposes a realtime detection framework of web documents containing novel information flowing in massive document streams. The framework consists of twostep filter using statistical language models. Further, the framework is implemented on the distributed and faulttolerant realtime computation system, Apache Storm, in order to process the large number of web documents. On a publicly available web document data set, the TREC KBA Stream Corpus, the validity of the proposed framework is demonstrated in terms of the detection performance and processing time
A Trust-Based Approach for Management of Dynamic QoS Violations in Cloud Federation Environments
Get PDFCloud Federation is an emerging technology where Cloud Service Providers (CSPs) offering specialized services to customers collaborate in order to reap the real benefits of Cloud Computing. When a CSP in the Cloud Federation runs out of resources, it can get the required resources from other partners in the federation. Normally, there will be QoS agreements between the partners in the federation for the resource sharing. In this paper, we propose a trust based mechanism for the management of dynamic QoS violations, when one CSP requests resources from another CSP in the federation. In this work, we have implemented the partner selection process, when one CSP does not have enough resources, using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, and also considering the trust values of various CSPs in the federation. We have also implemented the Single Sign-On (SSO) authentication in the cloud federation using the Fully Hashed Menezes-Qu-Vanstone (FHMQV) protocol and AES-256 algorithm. The proposed trust-based approach is used to dynamically manage the QoS violations among the partners in the federation. We have implemented the proposed approach using the CloudSim toolkit, and the analysis of the results are also given
Context-Dependent Testing of Applications for Mobile Devices
Get PDFApplications propel the versatility of mobile devices. Apps enable the realization of new ideas and greatly contribute to the proliferation of mobile computing. Unfortunately, software quality of apps often is low. This at least partly can be attributed to problems with testing them. However, it is not a lack of techniques or tools that make app testing cumbersome. Rather, frequent context changes have to be dealt with. Mobile devices most notably move: network parameters such as latency and usable bandwidth change, along with data read from sensors such as GPS coordinates. Additionally, usage patterns vary. To address context changes in testing, we propose a novel concept. It is based on identifying blocks of code between which context changes are possible. It helps to greatly reduce complexity. Besides introducing our concept, we present a use case, show its application and benefits, and discuss challenges
Why Is This Link Here? Identifying Academic Web Interlinking Motivations in Nigerian Universities
Get PDFThis paper investigates the university websites of Nigeria, Africa's most populous nation. Its aim is to identify motivations why authors embed outbound hyperlinks on these websites. A classification scheme for academic web interlinking motivations was applied to over 5,000 hyperlinks pointing from the websites of 107 Nigerian universities. Classifying the motivations based on studying the source and target pages is a big challenge, especially due to the following three reasons: there could be many possible reasons available; guessing the true intentions of link creators could be a difficult task; multiple link creation motivations could exist. The pioneer application of Pearson's chi-square test of independence offers a better picture of motivations. The chi-square test identifies the significant differences in interlinking motivations, which are peculiar to Nigerian universities of a particular category (federal, state and private universities). The study is a stepping stone toward further research on feasibility of findings in other developing countries. Results obtained from this research will be of great use for academic webpage developers and web authors, and will modify their work towards improving the use of hyperlinks as one of the major communication tools on the Web
Concept Design for Creating Essential Hypothesis, Rules, and Goals: Toward a Data Marketplace
Get PDFThe abductive reasoning model has been discussed in the context of business strategy. However, this model seems unrealistic for applications in the real business world considering the unpredictable, competitive business environment. This study improves the model by formulating an experimental case study through a web-based workplace for generating product ideas. We discuss the possible embodiment of product ideas as the basis for configuring features through the use of dynamic quality function deployment. The entire concept design process is proposed as a blueprint for building a data marketplace
IT Governance Practices for Electric Utilities: Insights from Brazil and Europe
Get PDFWe propose a framework of 14 IT governance practices tailored for the electric utilities sector. They were selected and ranked as "essential", "important", or "good" by top executives and IT staff from two multi-billion dollar companies - one in Brazil and another in Europe - from a generic set of 83 collected in the literature and in the field. Our framework addresses a need of electric utilities for which specific guidance was lacking. We have also uncovered a significant impact of social issues in IT governance, whose depth seems to be missing in the current research. As a byproduct of our work, the larger generic framework from which we have departed and the tailoring method that we have proposed can be used to customize the generic framework to different industries
Semantic and Web: The Web Part
Get PDFOne major aim of the Semantic Web is to enable a machine-processable Web of data. Hence, the Semantic Web community regards it as extension of the traditional web. On the other hand, the applications of the Semantic Web rely deeply on web technologies in order to work in a distributed fashion, world-wide. The goal of this special issue is to bring together contributions from these communities to address the challenges in Semantic Web and Web technologies in cooperation. The papers included in this special issue demonstrate how new technologies of the Web and Semantic Web complement each other and provide more contributions to the area of web technologies. The semantic part of this special issue, which contains substantial theoretical and empirical contributions to Semantic Web, is published in Open Journal of Semantic Web (OJSW)