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10.1007/s00607-021-00923-z http://scihub22266oqcxt.onion/10.1007/s00607-021-00923-z C7920404/?report=reader!7920404!C7920404     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ä-/-ä 2021 ; 103 (8): 1621-55 Nephropedia Template TP {{tp|p=C7920404|t=2021. A context-aware monitoring architecture for supporting system adaptation and reconfiguration |pdf=|usr=}}{{C7920404}} gab.com Text A context-aware monitoring architecture for supporting system adaptation and reconfiguration JO: ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7920404 #FOAvip Modern services and applications need to react to changes in their context (e.g. location, memory consumption, number of users) to improve the user?s experience. To obtain this context, a monitoring infrastructure with adequate functionality and quality levels is required. But this monitoring infrastructure needs to react to the context as well, raising the need for context-aware monitoring tools. Provide a generic solution for context-aware monitoring able to effectively react to contextual changes. We have designed CAMA, a service-oriented Context-Aware Monitoring Architecture that can be easily configured, adapted and evolved according to contextual changes. CAMA implements a decoupled architecture and manages a context domain ontology for modelling the inputs, outputs and capabilities of monitoring tools. CAMA has been demonstrated in three real use cases. We have also conducted different evaluations, including an empirical study. The results of the evaluations show that (1) the overhead introduced by the architecture does not degrade the behavior of the system, except in extreme conditions; (2) the use of ontologies is not an impediment for practitioners, even when they have little knowledge about this concept; and (3) the reasoning capabilities of CAMA enable context-aware adaptations. CAMA is a solution useful for both researchers and practitioners. Researchers can use this architecture as a baseline for providing different extensions or implementing new approaches on top of CAMA that require context-aware monitoring. Practitioners may also use CAMA in their projects in order to manage contextual changes in an effective way. Twit Text FOAVip A context-aware monitoring architecture for supporting system adaptation and reconfiguration ????ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7920404 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C7920404 #FOAvip English Wikipedia <ref>{{Cite pmid|C7920404}}</ref> A context-aware monitoring architecture for supporting system adaptation and reconfiguration #MMPMIDC7920404 Cabrera O; Oriol M; Franch X; Marco J ä-/-ä 2021[]; 103 (8): 1621-55 PMIDC7920404show ga Modern services and applications need to react to changes in their context (e.g. location, memory consumption, number of users) to improve the user?s experience. To obtain this context, a monitoring infrastructure with adequate functionality and quality levels is required. But this monitoring infrastructure needs to react to the context as well, raising the need for context-aware monitoring tools. Provide a generic solution for context-aware monitoring able to effectively react to contextual changes. We have designed CAMA, a service-oriented Context-Aware Monitoring Architecture that can be easily configured, adapted and evolved according to contextual changes. CAMA implements a decoupled architecture and manages a context domain ontology for modelling the inputs, outputs and capabilities of monitoring tools. CAMA has been demonstrated in three real use cases. We have also conducted different evaluations, including an empirical study. The results of the evaluations show that (1) the overhead introduced by the architecture does not degrade the behavior of the system, except in extreme conditions; (2) the use of ontologies is not an impediment for practitioners, even when they have little knowledge about this concept; and (3) the reasoning capabilities of CAMA enable context-aware adaptations. CAMA is a solution useful for both researchers and practitioners. Researchers can use this architecture as a baseline for providing different extensions or implementing new approaches on top of CAMA that require context-aware monitoring. Practitioners may also use CAMA in their projects in order to manage contextual changes in an effective way. äA context-aware monitoring architecture for supporting system adaptati(epmc).pdf DeepDyve Pubget Overpricing