scholarly journals Query Processing in Blockchain Systems: Current State and Future Challenges

2021 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Dennis Przytarski ◽  
Christoph Stach ◽  
Clémentine Gritti ◽  
Bernhard Mitschang
Keyword(s):  
Query Processing ◽  
Distributed Database ◽  
Database Management System ◽  
Use Cases ◽  
Healthcare Sector ◽  
Future Research ◽  
Use Case ◽  
Secure Storage ◽  
Current State ◽  
Future Challenges

When, in 2008, Satoshi Nakamoto envisioned the first distributed database management system that relied on cryptographically secured chain of blocks to store data in an immutable and tamper-resistant manner, his primary use case was the introduction of a digital currency. Owing to this use case, the blockchain system was geared towards efficient storage of data, whereas the processing of complex queries, such as provenance analyses of data history, is out of focus. The increasing use of Internet of Things technologies and the resulting digitization in many domains, however, have led to a plethora of novel use cases for a secure digital ledger. For instance, in the healthcare sector, blockchain systems are used for the secure storage and sharing of electronic health records, while the food industry applies such systems to enable a reliable food-chain traceability, e.g., to prove compliance with cold chains. In these application domains, however, querying the current state is not sufficient—comprehensive history queries are required instead. Due to these altered usage modes involving more complex query types, it is questionable whether today’s blockchain systems are prepared for this type of usage and whether such queries can be processed efficiently by them. In our paper, we therefore investigate novel use cases for blockchain systems and elicit their requirements towards a data store in terms of query capabilities. We reflect the state of the art in terms of query support in blockchain systems and assess whether it is capable of meeting the requirements of such more sophisticated use cases. As a result, we identify future research challenges with regard to query processing in blockchain systems.

Pattern-Oriented Use Case Modeling

2011 ◽  
pp. 3026-3031 ◽  
Author(s):  
Pankaj Kamthan
Keyword(s):  
Use Cases ◽  
Future Research ◽  
Software Systems ◽  
Use Case ◽  
Interactive Software ◽  
Modeling Process ◽  
Use Case Models ◽  
Use Case Modeling ◽  
Behavioral Requirements

The majority of the present software systems, such as those that run on automatic banking machines (ABMs), on mobile devices, and on the Web, are interactive in nature. Therefore, it is critical to precisely understand, identify, and document the services that an interactive software system will provide from the viewpoint of its potential users. A large and important class of models that these services encapsulate is use cases (Jacobson, Christerson, Jonsson, & Övergaard, 1992). In the last few years, use cases have become indispensable as means for behavioral modeling of interactive software systems. They play a crucial role in various software development activities, including estimating development cost (Anda, 2003), eliciting behavioral requirements, and defining test cases. It is well known that addressing quality early is crucial to avoid the propagation of problems to later artifacts (Moody, 2005). With the increasing deployment of use cases as early artifacts in software process environments, the question of how these models should be developed so as to attain high quality arises. In response, this article focuses on the use case modeling process (the act of constructing use case models) and, based on the notion of patterns (Appleton, 1997), proposes a systematic approach towards the development of use case models. The rest of the article is organized as follows. The background and related work necessary for the discussion that follows is outlined. This is followed by the presentation of a pattern-oriented use case modeling process for systematically addressing the semiotic quality of use case models in a feasible manner. Next, challenges and directions for future research are outlined, and finally, concluding remarks are given.

Current State and Solutions for Future Challenges in Early Warning Systems and Alerting Technologies

2011 ◽  
pp. 108-130 ◽  
Author(s):  
Ulrich Meissen ◽  
Agnès Voisard
Keyword(s):  
Information And Communication Technologies ◽  
Early Warning ◽  
Communication Technologies ◽  
Early Warning Systems ◽  
Future Research ◽  
Warning Systems ◽  
Current State ◽  
Future Challenges ◽  
Critical Issues ◽  
Information And Communication

The deployment of Early Warning Systems (EWS) and Alerting Technologies (AT) is one of the best measures for improved disaster prevention and mitigation. With the evolution of Information and Communication Technologies (ICT), we face new opportunities as well as new challenges for improving classical warning processes. This chapter concentrates on the main aspects of existing early warning systems and alerting technologies. Beginning with the definition and classifications in this field, we describe general approaches, representative systems, and interoperability aspects of EWS. Furthermore, we introduce a list of criteria for evaluating and comparing existing systems. It is worth noting that the deployment of an operational EWS is a complex challenge and remains a young field of research. This is due to many reasons, ranging from the political to the technical. The most critical issues regarding efficient alerting are described in this chapter, along with areas for future research.

A systematic literature review for industry 4.0 maturity modeling: state-of-the-art and future challenges

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kerem Elibal ◽  
Eren Özceylan
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
State Of The Art ◽  
Future Research ◽  
Content Type ◽  
Current State ◽  
Future Challenges ◽  
Clear Idea ◽  
Research Studies

Purpose The purpose of this paper is to conduct a systematic literature review for industry 4.0 maturity modeling research studies to obtain a clear view of the current state-of-the-art. Identifying characteristics of the studies; gaps, limitations and highlighted features has been aimed to guide future research studies. Design/methodology/approach The study includes a systematic literature review conducted on Scopus, IEEE Xplore and Web of Science databases and 90 publications have been reviewed. A novel qualitative taxonomy has been constructed which aims to reduce the cognitive load of the readers. Findings While industry 4.0 maturity modeling is an emerging concept and taking researchers’ attraction, review studies are still in infancy. Current review papers are inadequate in getting a clear idea about the concept, especially from the perspective of guiding future researchers. By the conducted approach of classification conducted in this paper, it has been seen that there are some challenges for improving the industry 4.0 maturity modeling. Research limitations/implications Findings represented in this study can serve academicians and practitioners to develop and/or improve industry 4.0 maturity models. Originality/value The study includes a novel classification for the reviewed papers. Constructed taxonomy is among the first and tabular representations instead of prose analogy that aims to simplify the review of papers.

Self-leadership Training Review

2019 ◽  
Author(s):  
Andrew Sidwell ◽  
Michael Perry
Keyword(s):  
Leadership Training ◽  
Future Research ◽  
Training Methods ◽  
Current State ◽  
A Current

The purpose of this article was to examine the current state of self-leadership training. The authors analyzed all published, publicly available studies (in English) pertaining to self-leadership training methods, offering a current state of self-leadership training, and implications for future research.

From Globalisation to Revolution? The Porfirian Political Economy: An Essay on Issues and Interpretations

2009 ◽  
Vol 41 (2) ◽  
pp. 347-368 ◽  
Author(s):  
PAOLO RIGUZZI
Keyword(s):  
Political Economy ◽  
Mexican Revolution ◽  
Future Research ◽  
The Political ◽  
Economic Relations ◽  
Future Research Agenda ◽  
Current State ◽  
International Economic Relations ◽  
Economic Strategies ◽  
State Finance

AbstractThis essay evaluates the political economy of Mexico during the Porfirian period (1876–1911), with the aim of discussing advances in scholarship and presenting an outline of the elements for a future research agenda. To this end, the essay examines the current state of knowledge on four crucial aspects of the Mexican economy: growth and its dimensions; the state, finance and economic strategies; the construction and functioning of the internal market; and the international economic relations of Mexico during the first period of globalisation. In particular, it assesses the arguments that link features of Porfirian economic organisation with the outbreak of the Mexican Revolution in 1910.

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

A Scoping Review of Resilience in Survivors of Human Trafficking

2021 ◽  
pp. 152483802098556
Author(s):  
Logan Knight ◽  
Yitong Xin ◽  
Cecilia Mengo
Keyword(s):  
Interpersonal Relationships ◽  
Scoping Review ◽  
National Origin ◽  
Future Research ◽  
Research Needs ◽  
Standardized Measures ◽  
Factors Associated ◽  
Current State ◽  
Case Files ◽  
Sexual Trafficking

Resilience is critical among survivors of trafficking as they are mostly vulnerable populations who face multiple adversities before, during, and after trafficking. However, resilience in survivors of trafficking is understudied. This scoping review aims to clarify the current state of knowledge, focusing on definitions of resilience, how resilience has been studied, and factors associated with resilience among survivors. Five databases were searched using key words related to trafficking and resilience. Studies were included if they were published in English between 2000 and 2019 and focused on resilience with the study design including at least one of these four features: (a) use of standardized measures of resilience, (b) qualitative descriptions of resilience, (c) participants were survivors or professionals serving survivors, and (d) data sources such as case files or program manuals directly pertained to survivors. Eighteen studies were identified. Findings indicated that resilience was primarily described as emergent from interactions between the survivor and the environment. Resilience in trafficking appeared largely similar to resilience in other kinds of victimization. Nonetheless, trafficking survivors also may display resilience in alternative ways such as refusing treatment. Positive interpersonal relationships were the most commonly mentioned resilience factor. In addition, current research lacks studies featuring longitudinal designs, interventions, participatory methods, types of trafficking other than sexual trafficking, and demographic characteristics such as age, gender, and national origin. Future research needs to establish definitions and measures of resilience that are culturally and contextually relevant to survivors and build knowledge necessary for designing and evaluating resilience-enhancing interventions.

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