CMS Monte Carlo production in the WLCG computing Grid

Monte Carlo production in CMS has received a major boost in performance and scale since the past CHEP06 conference. The production system has been re-engineered in order to incorporate the experience gained in running the previous system and to integrate production with the new CMS event data model, data management system and data processing framework. The system is interfaced to the two major computing Grids used by CMS, the LHC Computing Grid (LCG) and the Open Science Grid (OSG). Operational experience and integration aspects of the new CMS Monte Carlo production system is presented together with an analysis of production statistics. The new system automatically handles job submission, resource monitoring, job queuing, job distribution according to the available resources, data merging, registration of data into the data bookkeeping, data location, data transfer and placement systems. Compared to the previous production system automation, reliability and performance have been considerably improved. A more efficient use of computing resources and a better handling of the inherent Grid unreliability have resulted in an increase of production scale by about an order of magnitude, capable of running in parallel at the order of ten thousand jobs and yielding more than two million events per day

Workers’ free movement and competence management in the European Union : a case study

Purpose: The article deals with the important topic of recognizing professional competences within the European Union. Although the integration processes and the creation of the European credit transfer system, ECTS/ECVET, accelerated the process of validating learning outcomes, it did not significantly strengthen the knowledge of national education systems and recognition of learning outcomes achieved in individual countries. Design/Methodology/Approach: The case study method was used to present the issues on the example of a project implemented under the Erasmus plus Program. The assumptions and effects of the project Recognition of Professional Qualifications for Transfer Needs on the European Labour Market were discussed. Findings: Creating new tools supporting job mobility is of great importance for building a single labour market in the European Union. This applies, in particular, to jobs that are in short supply. We should continue to increase knowledge and recognition of national formal vocational training systems, which will contribute to the implementation of the idea of an open labour market and will allow especially young people, graduates of vocational schools, to undertake work in accordance with their education. Practical Implications: The presented tools developed under the project may facilitate job mobility within the EU. At the same time, they can be enhanced and expanded in the future to be used for all practical purposes in other professions. Originality/Value: The importance of job mobility is extremely important in both EU policies and economic development. The search for new tools supporting job mobility is implemented, among others, under EU programs. It is important to promote the developed tools and also provide them with critical evaluation in the context of scientific discussion.peer-reviewe

When Knowing is not enough: A Narrative Exploration of How K-12 Teachers Make Decisions about the Transfer of Critical Competencies from Professional Learning to Daily Practice

School districts spend millions of dollars each year to provide training and learning to staff working in direct and indirect service to students (National Council on Teacher Quality, 2021). This financial commitment says nothing about what is even more important: the need for school employees and the systems in which we work to serve students more effectively. Despite vast allocations of time and money and presumably best intentions for better social and academic outcomes for students, very little data exist that reflect regular transfer and application of training/learning into professional practice (Nittler et al., 2015). By and large, schools and school systems look the same today as they did 50+ years ago despite the fact that the world looks very different and so much more is known about the cognitive process and contextual contributors involved in erudition development. Teacher application of critical competencies such as cultural responsiveness, trauma informed practices, social emotional learning and basic neuroscience in the ways they conceptualize and implement instructional practices may not be easily apparent during casual observation, yet they are inextricably linked to positive academic and social outcomes for students, thus imperative to effective professional practice. This study investigates the ways in which professional educators make decisions about the transfer and application of professional learning centered on critical competencies (soft skills) in their daily work. Narrative Inquiry (NI) provided the methodological frame for this exploratory study that through thematic analysis surfaced five key factors influencing learning transfer: Instructor/Presenter/Facilitator; Connection to Lived Experience; Relevance to Job Assignment; Alignment with Self-Identity; and COVID–19. This dissertation is available in open access at AURA (https://aura.antioch.edu ) and OhioLINK ETD Center (https://etd.ohiolink.edu)

A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

Data Access for LIGO on the OSG

During 2015 and 2016, the Laser Interferometer Gravitational-Wave Observatory (LIGO) conducted a three-month observing campaign. These observations delivered the first direct detection of gravitational waves from binary black hole mergers. To search for these signals, the LIGO Scientific Collaboration uses the PyCBC search pipeline. To deliver science results in a timely manner, LIGO collaborated with the Open Science Grid (OSG) to distribute the required computation across a series of dedicated, opportunistic, and allocated resources. To deliver the petabytes necessary for such a large-scale computation, our team deployed a distributed data access infrastructure based on the XRootD server suite and the CernVM File System (CVMFS). This data access strategy grew from simply accessing remote storage to a POSIX-based interface underpinned by distributed, secure caches across the OSG.Comment: 6 pages, 3 figures, submitted to PEARC1