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Article
Publication date: 12 March 2021

Milton Secundino de Souza-Júnior, Nelson Souto Rosa and Fernando Antônio Aires Lins

This paper aims to present Long4Cloud (long-running workflows execution environment for cloud), a distributed and adaptive LRW execution environment delivered “as a service”…

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Abstract

Purpose

This paper aims to present Long4Cloud (long-running workflows execution environment for cloud), a distributed and adaptive LRW execution environment delivered “as a service” solution.

Design/methodology/approach

LRWs last for hours, days or even months and their duration open the possibility of changes in business rules, service interruptions or even alterations of formal regulations of the business before the workflow completion. These events can lead to problems such as loss of intermediary results or exhaustion of computational resources used to manage the workflow execution. Existing solutions face those problems by merely allowing the replacement (at runtime) of services associated with activities of the LRW.

Findings

LONG4Cloud extends the previous works in two main aspects, namely, the inclusion of dynamic reconfiguration capabilities and the adoption of an “as a service” delivery mode. The reconfiguration mechanism uses quiescence principles, data and state management and provides multiple adaptive strategies. Long4Cloud also adopts a scenario-based analysis to decide the adaptation to be performed. Events such as changes in business rules or service failures trigger reconfigurations supported by the environment. These features have been put together in a solution delivered “as a service” that takes advantage of cloud elasticity and allows to better allocate cloud resources to fit into the demands of LRWs.

Originality/value

The original contribution of Long4Cloud is to incorporate adaptive capabilities into the LRW execution environment as an effective way to handle the specificities of this kind of workflow. Experiments using current data of a Brazilian health insurance company were carried out to evaluate Long4Cloud and show performance gains in the execution of LRWs submitted to the proposed environment.

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Book part
Publication date: 26 August 2019

Jennifer D. Turner and Chrystine Mitchell

Purpose – The purpose of this chapter is to highlight the gradual release of responsibility (GRR) model as an instructional framework for enacting culturally relevant literacy…

Abstract

Purpose – The purpose of this chapter is to highlight the gradual release of responsibility (GRR) model as an instructional framework for enacting culturally relevant literacy pedagogy in K-8 classrooms.

Approach – First, the authors frame a discussion on culturally relevant pedagogy via three central tenets and its significance for promoting equity and access in literacy education. Next, culturally relevant pedagogy is linked with the GRR model. Finally, authentic literacy practices that help bridge culturally relevant learning throughout the segments of the GRR model are delineated.

Findings – The authors believe that GRR models infused with culturally relevant pedagogical practices make literacy learning more equitable and accessible to students of Color. Toward that end, the authors provide multiple research-based instructional strategies that illustrate how the GRR model can incorporate culturally relevant pedagogical practices. These practical examples serve as models for the ways in which teachers can connect with students’ cultural backgrounds and understandings while expanding their literacy learning.

Practical implications – By demonstrating how K-8 teachers scaffold and promote literacy learning in ways that leverage diverse students’ cultural experiences, the authors aim to help teachers sustain students’ cultural identities and nurture their socio-critical consciousness.

Details

The Gradual Release of Responsibility in Literacy Research and Practice
Type: Book
ISBN: 978-1-78769-447-7

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Book part
Publication date: 25 May 2021

Alessandra Girlando, Simon Grima, Engin Boztepe, Sharon Seychell, Ramona Rupeika-Apoga and Inna Romanova

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited…

Abstract

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

Details

Contemporary Issues in Social Science
Type: Book
ISBN: 978-1-80043-931-3

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