A5013269493- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Scientific Computing and Data Management
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Cloud Computing and Resource Management
- Renaissance Literature and Culture
- Head and Neck Cancer Studies
- Thyroid Cancer Diagnosis and Treatment
- Big Data Technologies and Applications
- Sinusitis and nasal conditions
- Head and Neck Surgical Oncology
- Classical Antiquity Studies
- Salivary Gland Tumors Diagnosis and Treatment
- AI and HR Technologies
- Pituitary Gland Disorders and Treatments
- S100 Proteins and Annexins
- Thyroid and Parathyroid Surgery
- Oral and Maxillofacial Pathology
- Sympathectomy and Hyperhidrosis Treatments
- Material Properties and Processing
- Computational Physics and Python Applications
- AI in cancer detection
- Surface and Thin Film Phenomena
- Comparative Literary Analysis and Criticism
IRCCS Humanitas Research Hospital
2022-2025
Humanitas University
2022-2025
Massachusetts Eye and Ear Infirmary
2024
Harvard University
2024
European Organization for Nuclear Research
2010-2024
Casa di Cura Columbus
2024
Particle physics has an ambitious and broad experimental programme for the coming decades. This requires large investments in detector hardware, either to build new facilities experiments, or upgrade existing ones. Similarly, it commensurate investment R&D of software acquire, manage, process, analyse shear amounts data be recorded. In planning HL-LHC particular, is critical that all collaborating stakeholders agree on goals priorities, efforts complement each other. this spirit, white paper...
The ATLAS Eventlndex is the global catalogue of all real and simulated events. During LHC long shutdown between Run 2 (20152018) 3 (2022-2025) its components were substantially revised a new system was deployed for start in Spring 2022. core storage system, based on HBase tables with SQL interface provided by Phoenix, allows much faster data ingestion rates scales better than old one to expected end beyond. All user interfaces also command-line web services deployed. initially populated...
The ATLAS EventIndex system comprises the catalogue of all events collected, processed or generated by experiment at CERN LHC accelerator, and associated software tools to collect, store query this information. records several billion particle interactions every year operation, processes them for analysis generates even larger simulated data samples; a global is needed keep track location each event record be able search retrieve specific in-depth investigations. Each includes summary...
The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing the High Energy Physics (HEP) community. This drives need for increased reliability and availability of central service underlying infrastructure provided to community by CERN IT department. paper reports overall status platform related Spark at CERN, detailing recent enhancements features introduced many areas including configuration, availability, alerting, monitoring protection,...
This paper reports on the activities aimed at improving architecture and performance of ATLAS EventIndex implementation in Hadoop. The contains tens billions event records, each which consists ∼100 bytes, all having same probability to be searched or counted. Data formats represent one important area for optimizing storage footprint applications based work production usage tests using several data including Map Files, Apache Parquet, Avro, various compression algorithms. query engine plays...
The Hadoop framework has proven to be an effective and popular approach for dealing with Big Data and, thanks its scaling ability optimised storage access, Distributed File System-based projects such as MapReduce or HBase are seen candidates replace traditional relational database management systems whenever scalable speed of data processing is a priority. But do these deliver in practice? Does migrating Hadoop's shared nothing architecture really improve access throughput? And, if so, at...
The ATLAS experiment at LHC relies on databases for detector online datataking, storage and retrieval of configurations, calibrations alignments, post data-taking analysis, file management over the grid, job submission management, condition data replication to remote sites.Oracle Relational Database Management System (RDBMS) has been addressing database requirements a great extent many years.Ten clusters are currently deployed needs different applications, divided in production, integration...
Experimental Particle Physics has been at the forefront of analyzing world's largest datasets for decades. The HEP community was among first to develop suitable software and computing tools this task. In recent times, new toolkits systems distributed data processing, collectively called "Big Data" technologies have emerged from industry open source projects support analysis Petabyte Exabyte in industry. While principles not changed (filtering transforming experiment-specific formats), these...
During massive data reprocessing operations an ATLAS Conditions Database application must support concurrent access from numerous processing jobs running on the Grid. By simulating realistic work-flow, database scalability tests provided feedback for Db software optimization and allowed precise determination of required distributed resources. In one take into account chaotic nature Grid computing characterized by peak loads, which can be much higher than average rates. To validate...
The ATLAS Eventlndex System has amassed a set of key quantities for large number events into Hadoop based infrastructure the purpose providing experiment with event-wise services. Collecting this data in one place provides opportunity to investigate various storage formats and technologies assess which best serve use cases as well consider what other benefits alternative systems provide. In presentation we describe how are imported an Oracle RDBMS (relational database management system),...
The High Energy Physics community has been developing dedicated solutions for processing experiment data over decades. However, with recent advancements in Big Data and Cloud Services, a question of application such technologies the domain physics analysis becomes relevant. In this paper, we present our initial experience system that combines use public cloud infrastructure (Helix Nebula Science Cloud), storage services developed by CERN, off-the-shelf frameworks. is completely decoupled...
The ATLAS EventIndex has been in operation since the beginning of LHC Run 2 2015. Like all software projects, its components have constantly evolving and improving performance. main data store Hadoop, based on MapFiles HBase, can work for rest but new solutions are explored future. Kudu offers an interesting environment, with a mixture BigData relational database features, which look promising at design level. This environment is used to build prototype measure scaling capabilities as...