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Scalable Processing of Context Information with COSMOS
[chapter]
2007
Lecture Notes in Computer Science
These data are used to adapt applications to changing execution contexts. However, legacy frameworks fail to process context information in a scalable and efficient manner. ...
This paper presents COSMOS and evaluates its efficiency throughout the example of the composition of context information to implement a caching/off-loading adaptation situation. ...
To provide a scalable context processing framework, the design of COSMOS has been motivated by three founding principles: separation of concerns, isolation and composability. ...
doi:10.1007/978-3-540-72883-2_16
fatcat:6y5fviqlsrc7rhbexqvhgaqo5q
Complementarity of process-oriented and ontology-based context managers to identify situations
2010
2010 Fifth International Conference on Digital Information Management (ICDIM)
The identification of these situations is computed from both dynamic context information and domain specific knowledge. ...
This identification is the output of a process involving context interpretation, aggregation and deduction. ...
Notice that, in addition to interactions involving COSMOS supplying MUSE with context data, COSMOS processing nodes can benefit from MUSE ontologies as context sources. ...
doi:10.1109/icdim.2010.5664620
dblp:conf/icdim/BouzeghoubTJDC10
fatcat:7y7ydhiw45ahljpemx2i34yp7u
A Framework for Quality of Context Management
[chapter]
2009
Lecture Notes in Computer Science
Information on the quality of context helps taking appropriate decisions and allows to identify uncertain context information saving processing time for deriving a pertinent description of the observed ...
Context-aware computing has to deal with a huge amount of context data. Taking into account the quality of these data becomes a corner stone of an efficient context management solution. ...
Information on the quality of context helps taking appropriate decisions and allows to identify uncertain context information saving processing time for deriving a pertinent description of the observed ...
doi:10.1007/978-3-642-04559-2_11
fatcat:bohutqmc2venfdzwi3azznq3b4
A Testbed to Evaluate the FIWARE-Based IoT Platform in the Domain of Precision Agriculture
2016
Sensors
WSNs present a number of problems, regarding scalability, interoperability, communications, connectivity with databases and data processing. ...
FIWARE is the technology promoted by the European Commission to make possible the IoT in the context of the Future Internet [11] in collaboration with the information and communication technology industry ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s16111979
pmid:27886091
pmcid:PMC5134637
fatcat:feiriwrtdbhmbj72kqzac3cy54
COSMOS: Towards an integrated and scalable service for analysing social media on demand
2014
International Journal of Parallel, Emergent and Distributed Systems
However, the use of proxies, data augmentation, archiving and harvesting need to be informed and developed within an emerging ethical context that is able to balance the digital public sphere with commercial ...
of expectations and consensus' within context. ...
doi:10.1080/17445760.2014.902057
fatcat:zg4qodqlubgeper5yyqmey5b74
Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection
[article]
2019
arXiv
pre-print
In this work, we present the design, implementation, and evaluation of COSMOS, a context-aware mediation system that bridges the semantic gap between foreground interaction and background access, in order ...
Specifically, COSMOS learns from a large set of apps with similar functionalities and user interfaces to construct generic models that detect the outliers at runtime. ...
The work of Zhu was supported through NSF CNS-1618684. ...
arXiv:1709.06654v2
fatcat:nryyh7gh3jafhnofrq5xnsjokq
Context-aware system for information services provision in the Internet of Things
2015
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)
Context-aware is an important feature of IoT middleware systems. This feature allows to discover, understand, and store relevant information related to devices and their respective events. ...
This paradigm has become popular by embedding mobile network and processing capability into a wide range of physical computing devices used in everyday life of many people. ...
COSMOS consists of three layers: context collector, context processing, and context adaptation. Therefore, COSMOS follows a distributed architecture which increases the middleware scalability. ...
doi:10.1109/etfa.2015.7301624
dblp:conf/etfa/MatosATLHM15
fatcat:5xbauz3upffkvlok3pceoqenba
Coupling of the regional climate model COSMO-CLM using OASIS3-MCT with regional ocean, land surface or global atmosphere model: description and performance
2016
Geoscientific Model Development Discussions
We present the prototype of a regional climate system model based on the COSMO-CLM regional climate model coupled with several model components, analyze the performance of the couplings and present a strategy ...
<br><br> The OASIS3-MCT coupler is used to couple COSMO-CLM with two land surface models (CLM and VEG3D), a regional ocean model for the Mediterranean Sea (NEMO-MED12), two ocean models for the North and ...
in a multi-component context. ...
doi:10.5194/gmd-2016-47
fatcat:dc3pgxwxebdzhdqe2grgs3qjb4
Rethinking the design of distributed stream processing systems
2008
2008 IEEE 24th International Conference on Data Engineering Workshop
The proposed system, COSMOS, distinguishes itself by its loose coupling and communication efficiency. ...
In this paper, we present a novel architecture to support large scale stream processing services in a widely distributed environment. ...
In this paper, we propose the design of our scalable distributed stream processing system: COSMOS (COoperative and Self-tuning Management of Streaming data). ...
doi:10.1109/icdew.2008.4498314
dblp:conf/icde/ZhouAST08
fatcat:uvzraqtzqrfndbf2yj7inp2eca
Study on the Context-Aware Middleware for Ubiquitous Greenhouses Using Wireless Sensor Networks
2011
Sensors
and scalability of the middleware. ...
This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity ...
The proposed context-aware middleware could maximize scalability and usability of the system by abstracting heterogeneous sensor nodes installed for collecting greenhouse environmental information, enabling ...
doi:10.3390/s110504539
pmid:22163861
pmcid:PMC3231376
fatcat:ee64vul2kralvosxwmsqnhr3iy
A Multi-scale Visual Analytics Approach for Exploring Biomedical Knowledge
[article]
2021
arXiv
pre-print
Early interactions with domain experts support our approach for use cases with graphs with over 40,000 nodes and 350,000 edges. ...
The generality of our approach - insofar as it re-quires only knowledge graphs linked to documents - means it can support a range of therapeutic use cases across different domains, from disease propagation ...
Provide iterative local analysis coordinated with global context. ...
arXiv:2109.06828v2
fatcat:b6ej4vtx3fgzhpujpks56j5mwe
Public Health Surveillance using Decentralized Technologies
2018
Blockchain in Healthcare Today
Finally, a proposal for a network of blockchains, using the Cosmos framework, together with decentralized storage systems like IPFS and BigchainDB, is included to address the issues of interoperability ...
This article describes how blockchain technologies can be used in the context of Public Health Surveillance through decentralized sharing of genomic data. ...
Genomic information is stored in large gigabyte-size files. Blockchain as a data structure is not suitable for storing this information due to scalability and performance. ...
doi:10.30953/bhty.v1.17
fatcat:mipp5a5oj5cnzckrz7ls6cpe3e
Scaling Archived Social Media Data Analysis Using a Hadoop Cloud
2013
2013 IEEE Sixth International Conference on Cloud Computing
We present the COSMOS platform supporting sentiment and tension analysis on Twitter data, and demonstrate how this platform can be scaled using the OpenNebula Cloud environment with Map/Reduce-based analysis ...
We demonstrate the approach using a data set consisting of several million Twitter messages, analysed over two types of Cloud infrastructure. ...
ACKNOWLEDGMENT Part of the "COSMOS" development was carried out through the UK Joint Information Systems Committee (JISC) funded "Supporting Empirical Social Scientific Research with a Virtual Research ...
doi:10.1109/cloud.2013.120
dblp:conf/IEEEcloud/ConejeroBRM13
fatcat:awgnn6wg2jcjzd6ityoqv2qyzi
Azure Data Lake Store
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
Azure Data Lake Store (ADLS) is a fully-managed, elastic, scalable, and secure file system that supports Hadoop distributed file system (HDFS) and Cosmos semantics. ...
It brings together key components and features of Microsoft's Cosmos file system-long used internally at Microsoft as the warehouse for data and analytics-and HDFS, and is a unified file storage solution ...
We would also like to thank the Azure Storage, Azure Networking, MCIO, CISL and MSR teams for working closely with us. ...
doi:10.1145/3035918.3056100
dblp:conf/sigmod/RamakrishnanSDK17
fatcat:n4gprmvbuvcafgrh347lsb6s2a
Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0
2018
Geoscientific Model Development
At a grid spacing of 930<span class="thinspace"></span>m (1.9<span class="thinspace"></span>km), we achieve a simulation throughput of 0.043 (0.23) simulated years per day and an energy consumption of ...
we present results from an ultrahigh-resolution non-hydrostatic climate model for a near-global setup running on the full Piz Daint supercomputer on 4888<span class="thinspace"></span>GPUs (graphics processing ...
We would like to acknowledge the many contributors to the GPU-capable version of COSMO used in this study, among others Andrea Arteaga, Mauro Bianco, Isabelle Bey, Christophe Charpilloz, Valentin Clement ...
doi:10.5194/gmd-11-1665-2018
fatcat:zccnzfgag5g4bkuu6vxsyh3jaq
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