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Streaming Model Transformations: Scenarios, Challenges and Initial Solutions [chapter]

Jesús Sánchez Cuadrado, Juan de Lara
2013 Lecture Notes in Computer Science  
Hence, in streaming transformations, source model elements are continuously produced by some process, or very large models are fragmented and fed into the transformation engine.  ...  While they permit tackling advanced scenarios, some applications deal with models that are only available as a possibly infinite stream of elements.  ...  This work was funded by the Spanish Ministry of Economy and Competitivity (project "Go Lite" TIN2011-24139) and the R&D programme of the Madrid Region (project "e-Madrid" S2009/TIC-1650).  ... 
doi:10.1007/978-3-642-38883-5_1 fatcat:bbiso53j7fculcroekymn75ey4

Foundations for Streaming Model Transformations by Complex Event Processing

István Dávid, István Ráth, Dániel Varró
2016 Journal of Software and Systems Modeling  
Executing streaming transformations requires efficient techniques to recognize activated transformation rules over a live model and a potentially infinite stream of events.  ...  Streaming model transformations represent a novel class of transformations to manipulate models whose elements are continuously produced or modified in high volume and with rapid rate of change.  ...  Toward streaming transformations over live models Scalability of models, queries and transformations has become a key challenge in model-driven engineering [55] to handle complex scenarios of industrial  ... 
doi:10.1007/s10270-016-0533-1 pmid:29449795 pmcid:PMC5807515 fatcat:57era3rizfbhxmlvopue6dyuge

Modeling Analytical Streams for Social Business Intelligence

Indira Lanza-Cruz, Rafael Berlanga, María Aramburu
2018 Informatics  
From these specifications, all the required fact streams are modeled and deployed to trace the indicators.  ...  The main advantages of this approach are the easy definition of on-demand social indicators, and the treatment of changing dimensions and metrics through streamed facts.  ...  We conclude that streaming is the natural way to process social data, and it implies new challenges for analytical tasks.  ... 
doi:10.3390/informatics5030033 fatcat:g6p5evh4vvfpveje5rkxa7wwvy

Optimization Models for Streaming in Multihop Wireless Networks

Zongpeng Li, Baochun Li, Mea Wang
2007 2007 16th International Conference on Computer Communications and Networks  
Simulation results show that our solutions indeed achieve high streaming rates, and prompt error recovery under a wide range of link failure patterns.  ...  Media streaming in wireless ad hoc networks is therefore a particularly challenging problem, especially for the case of streaming to multiple receivers.  ...  In the antenna array scenario, the optimal solution of the linear program provides the exact maximum achievable multicast streaming rate.  ... 
doi:10.1109/icccn.2007.4317861 dblp:conf/icccn/LiLW07 fatcat:ocksox4q65cmhp7au7u5fltqta

Modeling and Simulation of Spark Streaming

Jia-Chun Lin, Ming-Chang Lee, Ingrid Chieh Yu, Einar Broch Johnsen
2018 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)  
To alleviate such issues, this paper develops an executable and configurable model named SSP (stands for Spark Streaming Processing) to model and simulate Spark Streaming.  ...  The simulation results show that SSP is able to mimic Spark Streaming in different scenarios.  ...  [18] describe fundamental models and issues in developing a general-purpose data stream management system, especially related to stream query languages, requirements and challenges in query processing  ... 
doi:10.1109/aina.2018.00068 dblp:conf/aina/LinLYJ18 fatcat:6edirdluvnde7bvgubytwiievu

The Study of Stream Litter Accumulation as a Model for Cross-Disciplinary, Transformative, Affordable, and Scalable Undergraduate Research Experiences in STEM

Matthew B Parks, Emily P Hendryx, Andrew T Taylor
2021 Interdisciplinary Journal of Environmental and Science Education  
Three faculty involved brought expertise in physical stream characterization, ecology, statistics, and mathematical modeling, allowing students to approach data analysis from multidisciplinary and collaborative  ...  Simultaneously, it is challenging to design meaningful research opportunities that remain affordable, engage students in most aspects of the scientific process, and offer opportunities for transformative  ...  Jenna Messick for her contributions in initial planning of this study and for loaning waders. We also thank Dr. James Bidlack, Dr. David Bass, and Dr.  ... 
doi:10.21601/ijese/10935 fatcat:4yvabtoaqjahjdkmg5x6mgvh5a

Stream my models: Reactive peer-to-peer distributed models@run.time

Thomas Hartmann, Assaad Moawad, Francois Fouquet, Gregory Nain, Jacques Klein, Yves Le Traon
2015 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)  
We define distributed models as observable streams of chunks that are exchanged between nodes in a peerto-peer manner.  ...  We integrated our approach into the Kevoree Modeling Framework and demonstrate that it enables frequently changing, reactive distributed models that can scale to millions of elements and several thousand  ...  ACKNOWLEDGMENT The research leading to this publication is supported by the National Research Fund Luxembourg (grant 6816126 and CoPAInS project CO11/IS/1239572) and Creos Luxembourg S.A. under the SnT-Creos  ... 
doi:10.1109/models.2015.7338238 dblp:conf/models/0001MFNKT15 fatcat:rjtonn5nlfcw7ku5w3vmyhnv2y

Differentially Private Linear Algebra in the Streaming Model [article]

Jalaj Upadhyay
2017 arXiv   pre-print
In this paper, we initiate the study of performing linear algebraic tasks while preserving privacy when the data is streamed online.  ...  Notably, we match the best known space bound in the non-private setting by Kane and Nelson (J. ACM, 61(1):4).  ...  This model has three entities: a stream generator S, a (database) curator K, and a query maker Q. S starts the process at time t = 0 and the curator initializes its data structure to D 0 .  ... 
arXiv:1409.5414v5 fatcat:dksjsngdefgyjhs5rhiewkhdg4

From event streams to process models and back: Challenges and opportunities

Pnina Soffer, Annika Hinze, Agnes Koschmider, Holger Ziekow, Claudio Di Ciccio, Boris Koldehofe, Oliver Kopp, Arno Jacobsen, Jan Sürmeli, Wei Song
2017 Information Systems  
While specific combinations of BPM and CEP have attracted research attention, resulting in solutions to specific problems, we attempt to take a broad view at the opportunities and challenges involved.  ...  that were initiated at the Dagstuhl seminar 16341 on "Integrating Process-Oriented and Event-Based Systems" from a process model to address how it can guide CEP.  ...  Transformation between process models and event rules forms challenges for Q2, Q3, and Q4.  ... 
doi:10.1016/ fatcat:25v7xvikgzcc3ihw5us6vz2u7m

CLARO: modeling and processing uncertain data streams

Thanh T. L. Tran, Liping Peng, Yanlei Diao, Andrew McGregor, Anna Liu
2011 The VLDB journal  
Claro employs a unique data model that is flexible and allows efficient computation.  ...  Built on this model, we develop evaluation techniques for relational operators by exploring statistical theory and approximation.  ...  Challenges.  ... 
doi:10.1007/s00778-011-0261-7 fatcat:4gvauh4pkjgotkiuujwkjzndhi

Cost models for geo-distributed massively parallel streaming analytics [article]

Anna-Valentini Michailidou, Anastasios Gounaris, Konstantinos Tsichlas
2021 arXiv   pre-print
Such a cost model can be then leveraged to devise cost-based optimization solutions that deal with task placement and operator configuration.  ...  in compute nodes, (2) geo-distribution, (3) massive parallelism, (4) complex DAGs and (5) streaming applications.  ...  The Proposed Cost Model Proposal The cost model we propose is tailored to streaming data scenarios focusing on geodistributed, heterogeneous resources.  ... 
arXiv:2105.12507v1 fatcat:su5qm2arerf2ddadfm6ui6j5gm

Streaming Label Learning for Modeling Labels on the Fly [article]

Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
2016 arXiv   pre-print
In this paper, we define and study streaming label learning (SLL), i.e., labels are arrived on the fly, to model newly arrived labels with the help of the knowledge learned from past labels.  ...  It is challenging to handle a large volume of labels in multi-label learning.  ...  As a result, it is challenging to efficiently and accurately model the emergence of the new labels.  ... 
arXiv:1604.05449v1 fatcat:5oxvxacojzgpzona7eeknvnrbi

Models and issues in data stream systems

Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Jennifer Widom
2002 Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems - PODS '02  
In addition to reviewing past work relevant to data stream systems and current projects in the area, the paper explores topics in stream query languages, new requirements and challenges in query processing  ...  In this paper we consider fundamental models and issues in developing a general-purpose Data Stream ManagementSystem (DSMS).  ...  Acknowledgements We thank all the members of the Stanford STREAM research group for their contributions and feedback.  ... 
doi:10.1145/543613.543615 dblp:conf/pods/BabcockBDMW02 fatcat:avqbzp74v5buvkzqoayslqwr64

Modeling and generating realistic streaming media server workloads

Wenting Tang, Yun Fu, Ludmila Cherkasova, Amin Vahdat
2007 Computer Networks  
and bandwidth overhead associated with a streaming request.  ...  These new challenges result from fundamentally new characteristics of streaming media relative to traditional web objects, principally different client access patterns and significantly larger computational  ...  Their insightful questions and constructive criticism helped us to significantly improve the content and presentation of the paper.  ... 
doi:10.1016/j.comnet.2006.05.003 fatcat:354iqbbcgfazvgythrse3me2ry

A time-dependent Green's function-based model for stream-unconfined aquifer flows

AE Taigbenu
2004 Water S.A  
In classical boundary element applications, this Green's function has found use primarily in linear heat transfer and flow problems; its use here for the nonlinear stream-unconfined aquifer flow problem  ...  It is observed that comparable accuracy is achieved between both formulations, indicating that the current formulation is a viable numerical solution strategy for the stream-aquifer flow problem.  ...  Figure 1 1 Representation of stream-unconfined flow problem (a) plan, (b) section (i) Obtain the singular fundamental solution to an appropriate auxiliary equation to the flow Eq (3); (ii) Transform  ... 
doi:10.4314/wsa.v29i3.4926 fatcat:aumamxc3ijd3tkyraf5pjmkhne
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