Challenging data and workload management in CMS Computing with network-aware systems

Autor:	Bonacorsi D, Wildish T
Rok vydání:	2014
Předmět:	History Engineering Database Exploit business.industry Distributed computing Data management Petabyte Workload computer.software_genre Replication (computing) Computer Science Applications Education Workflow Data access Intelligent Network Detectors and Experimental Techniques business computer
Zdroj:	Journal of Physics: Conference Series. 513:062050
ISSN:	1742-6596 1742-6588
Popis:	After a successful first run at the LHC, and during the Long Shutdown (LS1) of the accelerator, the workload and data management sectors of the CMS Computing Model are entering into an operational review phase in order to concretely assess area of possible improvements and paths to exploit new promising technology trends. In particular, since the preparation activities for the LHC start, the Networks have constantly been of paramount importance for the execution of CMS workflows, exceeding the original expectations - as from the MONARC model - in terms of performance, stability and reliability. The low-latency transfers of PetaBytes of CMS data among dozens of WLCG Tiers worldwide using the PhEDEx dataset replication system is an example of the importance of reliable Networks. Another example is the exploitation of WAN data access over data federations in CMS. A new emerging area of work is the exploitation of "Intelligent Network Services", including also bandwidth on demand concepts. In this paper, we will review the work done in CMS on this, and the next steps.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f2f62a416a1da4b2d65c0f541f63322 https://doi.org/10.1088/1742-6596/513/6/062050 Zobrazit plný text záznamu