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[null,"1.","Record Nr.",null,"UNINA9910580193203321"]
[null,null,"Titolo",null,"SNTA '22 : proceedings of the Fifth International Workshop on Systems and Network Telemetry and Analytics : June 30, 2022, Minneapolis, MN, USA / / general chairs, Massimo Cafaro [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Association for Computing Machinery, , 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (62 pages) : illustrations"]
[null,null,"Collana",null,"ACM Conferences"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Electronic data processing - Distributed processing"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Distributed data processing"]
[{"$nulls":4},"Network performance (Telecommunication)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Sommario/riassunto","The 5th International Workshop on Systems and Network Telemetry and Analytics (SNTA 2022), a full-day meeting at the HPDC 2022 conference in Minneapolis, United States, aims at bridging the systems and network telemetry and the latest advances in machine learning and data science technologies, to advance the performance and reliability of HPC and distributed systems.HPC and distributed systems are the driving force for the advancement of many emerging technologies, such as exascale systems, quantum machines, terabit networking, 5G/6G wireless, and cloud/edge computing. The tasks of systems and network telemetry are a key element for effective operations and management of these systems, by offering comprehensive monitoring and analysis capabilities to provide visibility into what is occurring at any time. The tasks will be significantly complicated with the greater complexity of computing systems, increasing network speed, and the mobile and IoT devices. Such changes and advances in technology will require more scalable telemetry and analysis techniques for data-driven diagnostics and deeper data analysis. In addition to the quantitative and qualitative challenges, data pressure in systems and networks also comes from various sources such as end systems, switches, firewalls, intrusion sensors, and the emerging network elements speaking with different syntax and semantics, which makes "]
[{"$nulls":4},"organizing and incorporating the generated data difficult for comprehensive analysis. This workshop looks for new approaches and methods at the intersection of HPC systems and data sciences to address these difficult challenges of emerging technologies from the diverse angles of systems/network performance, availability, reliability, and security."]