scholarly journals Monitoring of Grid Scientific Workflows

2008 ◽  
Vol 16 (2-3) ◽  
pp. 205-216
Author(s):  
Bartosz Balis ◽  
Marian Bubak ◽  
Bartłomiej Łabno
Keyword(s):  
Real Life ◽  
Scientific Workflow ◽  
Point Of View ◽  
Scientific Workflows ◽  
Monitoring Data ◽  
Monitoring Point ◽  
Loosely Coupled ◽  
Provenance Data ◽  
On Line ◽  
Monitoring Architecture

Scientific workflows are a means of conducting in silico experiments in modern computing infrastructures for e-Science, often built on top of Grids. Monitoring of Grid scientific workflows is essential not only for performance analysis but also to collect provenance data and gather feedback useful in future decisions, e.g., related to optimization of resource usage. In this paper, basic problems related to monitoring of Grid scientific workflows are discussed. Being highly distributed, loosely coupled in space and time, heterogeneous, and heavily using legacy codes, workflows are exceptionally challenging from the monitoring point of view. We propose a Grid monitoring architecture for scientific workflows. Monitoring data correlation problem is described and an algorithm for on-line distributed collection of monitoring data is proposed. We demonstrate a prototype implementation of the proposed workflow monitoring architecture, the GEMINI monitoring system, and its use for monitoring of a real-life scientific workflow.

scholarly journals The PBase Scientific Workflow Provenance Repository

2014 ◽  
Vol 9 (2) ◽  
pp. 28-38 ◽  
Author(s):  
Víctor Cuevas-Vicenttín ◽  
Parisa Kianmajd ◽  
Bertram Ludäscher ◽  
Paolo Missier ◽  
Fernando Chirigati ◽  
...  
Keyword(s):  
Scientific Workflow ◽  
Scientific Workflows ◽  
Data Reuse ◽  
Data Intensive ◽  
Research Collaborations ◽  
Provenance Data ◽  
Scientific Experiments ◽  
History Of ◽  
Scientific Results ◽  
User Friendly

Scientific workflows and their supporting systems are becoming increasingly popular for compute-intensive and data-intensive scientific experiments. The advantages scientific workflows offer include rapid and easy workflow design, software and data reuse, scalable execution, sharing and collaboration, and other advantages that altogether facilitate “reproducible science”. In this context, provenance – information about the origin, context, derivation, ownership, or history of some artifact – plays a key role, since scientists are interested in examining and auditing the results of scientific experiments. However, in order to perform such analyses on scientific results as part of extended research collaborations, an adequate environment and tools are required. Concretely, the need arises for a repository that will facilitate the sharing of scientific workflows and their associated execution traces in an interoperable manner, also enabling querying and visualization. Furthermore, such functionality should be supported while taking performance and scalability into account. With this purpose in mind, we introduce PBase: a scientific workflow provenance repository implementing the ProvONE proposed standard, which extends the emerging W3C PROV standard for provenance data with workflow specific concepts. PBase is built on the Neo4j graph database, thus offering capabilities such as declarative and efficient querying. Our experiences demonstrate the power gained by supporting various types of queries for provenance data. In addition, PBase is equipped with a user friendly interface tailored for the visualization of scientific workflow provenance data, making the specification of queries and the interpretation of their results easier and more effective.

scholarly journals Towards a Holistic Approach to Fault Management

2012 ◽  
pp. 1-10 ◽  
Author(s):  
Moises Goldszmidt ◽  
Miroslaw Malek ◽  
Simin Nadjm-Tehrani ◽  
Priya Narasimhan ◽  
Felix Salfner ◽  
...  
Keyword(s):  
Data Analysis ◽  
Real Life ◽  
Fault Management ◽  
Holistic Approach ◽  
Monitoring Data ◽  
Management Systems ◽  
Cost Performance ◽  
High Dependability ◽  
On Line

Systems with high dependability requirements are increasingly relying on complex on-line fault management systems. Such fault management systems involve a combination of multiple steps – monitoring, data analysis, planning, and execution – that are typically independently developed and optimized. We argue that it is inefficient and ineffective to improve any particular fault management step without taking into account its interactions and dependencies with the rest of the steps. Through six real-life examples, we demonstrate this inefficiency and how it results in systems that either under-perform or are over-budget. We propose a holistic approach to fault management that is aware of all relevant aspects, and explicitly considers the couplings between the different fault management steps. We believe it will produce systems that will better meet cost, performance, and dependability objectives.

Confidentiality of Statistical Records: A Threat-Monitoring Scheme for On Line Dialogue

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer
Keyword(s):  
Statistical Data ◽  
Cost Benefit ◽  
Data Bank ◽  
High Ratio ◽  
Point Of View ◽  
Data Sets ◽  
Monitoring Scheme ◽  
Access Controls ◽  
On Line ◽  
Bona Fide

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.

Bleak Weather for Sun-Shine AG: A Case Study of Impairment of Assets

2014 ◽  
Vol 30 (2) ◽  
pp. 113-126 ◽  
Author(s):  
Dominic Detzen ◽  
Tobias Stork genannt Wersborg ◽  
Henning Zülch
Keyword(s):  
Real Life ◽  
Accounting Standards ◽  
Point Of View ◽  
Professional Judgment ◽  
Economic Point ◽  
Instructional Resource

ABSTRACT This case originates from a real-life business situation and illustrates the application of impairment tests in accordance with IFRS and U.S. GAAP. In the first part of the case study, students examine conceptual questions of impairment tests under IFRS and U.S. GAAP with respect to applicable accounting standards, definitions, value concepts, and frequency of application. In addition, the case encourages students to discuss the impairment regime from an economic point of view. The second part of the instructional resource continues to provide instructors with the flexibility of applying U.S. GAAP and/or IFRS when students are asked to test a long-lived asset for impairment and, if necessary, allocate any potential impairment. This latter part demonstrates that impairment tests require professional judgment that students are to exercise in the case.

scholarly journals The contribution of the Italian residents in neurology to the COVID-19 crisis: admirable generosity but neurological training remains their priority

2021 ◽  
Author(s):  
Cristina Tassorelli ◽  
Vincenzo Silani ◽  
Alessandro Padovani ◽  
Paolo Barone ◽  
Paolo Calabresi ◽  
...  
Keyword(s):  
Clinical Training ◽  
Real Life ◽  
Healthcare Management ◽  
Point Of View ◽  
Research Activity ◽  
High Quality ◽  
Research Activities ◽  
Italian Regions ◽  
Training And Research

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has severely impacted the Italian healthcare system, underscoring a dramatic shortage of specialized doctors in many disciplines. The situation affected the activity of the residents in neurology, who were also offered the possibility of being formally hired before their training completion. Aims (1) To showcase examples of clinical and research activity of residents in neurology during the COVID-19 pandemic in Italy and (2) to illustrate the point of view of Italian residents in neurology about the possibility of being hired before the completion of their residency program. Results Real-life reports from several areas in Lombardia—one of the Italian regions more affected by COVID-19—show that residents in neurology gave an outstanding demonstration of generosity, collaboration, reliability, and adaptation to the changing environment, while continuing their clinical training and research activities. A very small minority of the residents participated in the dedicated selections for being hired before completion of their training program. The large majority of them prioritized their training over the option of earlier employment. Conclusions Italian residents in neurology generously contributed to the healthcare management of the COVID-19 pandemic in many ways, while remaining determined to pursue their training. Neurology is a rapidly evolving clinical field due to continuous diagnostic and therapeutic progress. Stakeholders need to listen to the strong message conveyed by our residents in neurology and endeavor to provide them with the most adequate training, to ensure high quality of care and excellence in research in the future.

scholarly journals DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 405
Author(s):  
Marcos Lupión ◽  
Javier Medina-Quero ◽  
Juan F. Sanjuan ◽  
Pilar M. Ortigosa
Keyword(s):  
Real Time ◽  
Activity Recognition ◽  
Real Life ◽  
Recognition System ◽  
Machine Learning Algorithms ◽  
Sensor Data ◽  
Heterogeneous Sensors ◽  
On Line ◽  
The University

Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System) where data from heterogeneous sensors are evaluated in real time, including binary, wearable and location sensors. Different descriptors and metrics from the heterogeneous sensor data are integrated in a common feature vector whose extraction is developed by a sliding window approach under real-time conditions. DOLARS provides a distributed architecture where: (i) stages for processing data in AR are deployed in distributed nodes, (ii) temporal cache modules compute metrics which aggregate sensor data for computing feature vectors in an efficient way; (iii) publish-subscribe models are integrated both to spread data from sensors and orchestrate the nodes (communication and replication) for computing AR and (iv) machine learning algorithms are used to classify and recognize the activities. A successful case study of daily activities recognition developed in the Smart Lab of The University of Almería (UAL) is presented in this paper. Results present an encouraging performance in recognition of sequences of activities and show the need for distributed architectures to achieve real time recognition.

Adherence, Persistence, and Effectiveness in Real Life. Multicenter Long-Term Study on the Use of Pirfenidone and Nintedanib in the Treatment of Idiopathic Pulmonary Fibrosis

2021 ◽  
pp. 089719002110086
Author(s):  
Fiorenzo Santoleri ◽  
Luigia Auriemma ◽  
Antonella Spacone ◽  
Stefano Marinari ◽  
Fabio Esposito ◽  
...  
Keyword(s):  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Pharmacological Study ◽  
Functional Decline ◽  
Real Life ◽  
Point Of View ◽  
Response To Treatment ◽  
First Year ◽  
Long Term Study ◽  
Second Year

Background: In the treatment of idiopathic pulmonary fibrosis (IPF), nintedanib and pirfenidone, with their different mechanisms of action, lead to a reduction in the rate of progression of the fibrosis process measured by the reduction of functional decline, and, in particular, the decrease in forced vital capacity (FVC) and of the diffusion capacity of the lungs for carbon monoxide (DLCO). The objective of this study was to analyze real-life adherence, persistence and efficacy in the use of pirfenidone and nintedanib in the treatment of IPF. Methods: A non-interventional multicenter retrospective observational pharmacological study in real-life treat-ment at 1 and 2 years was conducted. Furthermore, we analyzed the levels of FVC and DLCO at 6 and 12 months, respectively, from the start of treatment. Results: We identified 144 patients in the period between January 2013 and April 2019. From the point of view of adherence, there is no difference between the two drugs, even though patients who used pirfenidone had increasingly higher values: 0.90 vs 0.89, in the first year, and 0.91 vs 0.84, in the second year. In the first year of treatment, the percentage of persistent patients was 67% and 76%, while in the second year, it dropped to 47% and 53% for pirfenidone and nintedanib, respectively. Conclusion: The stratification of the adherence values as a function of the response to treatment in terms of FVC at 12 months for both study drugs showed that patients with optimal response scored adherence of more than 90%.

scholarly journals ALVIC versus the Internet: Redesigning a Networked Virtual Environment Architecture

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Peter Quax ◽  
Jeroen Dierckx ◽  
Bart Cornelissen ◽  
Wim Lamotte
Keyword(s):  
Virtual Environment ◽  
Large Scale ◽  
Virtual Communities ◽  
Real Life ◽  
Point Of View ◽  
The Internet ◽  
Generic Framework ◽  
Short Period ◽  
Networked Virtual Environment ◽  
Near Future

The explosive growth of the number of applications based on networked virtual environment technology, both games and virtual communities, shows that these types of applications have become commonplace in a short period of time. However, from a research point of view, the inherent weaknesses in their architectures are quickly exposed. The Architecture for Large-Scale Virtual Interactive Communities (ALVICs) was originally developed to serve as a generic framework to deploy networked virtual environment applications on the Internet. While it has been shown to effectively scale to the numbers originally put forward, our findings have shown that, on a real-life network, such as the Internet, several drawbacks will not be overcome in the near future. It is, therefore, that we have recently started with the development of ALVIC-NG, which, while incorporating the findings from our previous research, makes several improvements on the original version, making it suitable for deployment on the Internet as it exists today.

scholarly journals New system of employment forecasting in Poland

2014 ◽  
Vol 15 (2) ◽  
pp. 75-90
Author(s):  
Łukasz Arendt
Keyword(s):  
Labour Market ◽  
Econometric Models ◽  
Point Of View ◽  
Labour Market Policy ◽  
Market Policy ◽  
On Line ◽  
New System

Abstract The goal of the paper was to describe the system of employment forecasting in Poland and to present forecasts results. The paper described the main assumptions and elements of the system of employment forecasting (the structure of econometric models and on-line forecasting tool). It also elaborated on employment forecasts at national, regional and occupational levels. The analysis of forecasts enabled drawing some conclusions, important from the point of view of the perspectives of the Polish labour market and the labour market policy.

Positive evaluation in the language of human resources: textbooks versus reality

2021 ◽  
Vol 11 (1) ◽  
pp. 133-152
Author(s):  
Pavel Reich
Keyword(s):  
Human Resources ◽  
Real Life ◽  
Point Of View ◽  
Business English ◽  
Evaluative Language ◽  
English Textbooks ◽  
General Business ◽  
Hr Managers ◽  
Authentic Language ◽  
Positive Evaluation

Abstract The aim of the present paper is to focus on the language of Human Resources (HR) as one of the subfields of English for business purposes in respect of positive evaluation and stancetaking and to identify to what extent evaluative language common in real-life situations is reflected in currently available textbooks of English for HR (EHR). Authentic language is taken from blogs and interviews with prominent HR managers on www.thehrdirector.com, which is a global online magazine dedicated to HR professionals. The corpus created from these texts is analysed from the point of view of evaluative language and the data ascertained are put into contrast with the language presented in three commonly available HR English textbooks. The analysis focusses on the lexical level of language and is based on the Appraisal framework (and the system of Attitude) of Systemic Functional Linguistics. Even though the present study is intended as qualitative rather than quantitative, the findings are quantified in order to shed some light on the commonality and frequency of some of the phenomena ascertained and their reflection in the textbooks. The outcomes of the analysis might serve as food for thought and inspiration for tertiary-level teachers of general business English courses as well as highly specialised courses focusing on the language of human resources.

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