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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings [article]

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le
2020 arXiv   pre-print
In this work, we investigate two key questions: (i) can we learn accurate cost models for big data systems, and (ii) can we integrate the learned models within the query optimizer.  ...  Query processing over big data is ubiquitous in modern clouds, where the system takes care of picking both the physical query execution plans and the resources needed to run those plans, using a cost-based  ...  In contrast, our focus in this paper is on improving the cost-estimation of operators in big data systems and our goal is to integrate learned models into existing query optimizers in a minimally invasive  ... 
arXiv:2002.12393v1 fatcat:45lvnalfjba2rbkn26xcomz3wu

Approximate Query Processing

Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
2017 Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17  
We discuss two promising avenues to pursue towards integrating Approximate Query Processing into data platforms.  ...  In this paper, we reflect on the state of the art of Approximate Query Processing.  ...  Acknowledgements We are deeply thankful to Christian Konig and Vivek Narasayya for reading numerous versions of this document; their feedback has improved this report substantially. REFERENCES  ... 
doi:10.1145/3035918.3056097 dblp:conf/sigmod/ChaudhuriDK17 fatcat:x2lmtvyhbfdfhpohqlyd23pffq

Towards the 5th Industrial Revolution: A literature review and a framework for Process Optimization Based on Big Data Analytics and Semantics

Dimitris Mourtzis
2021 Journal of Machine Engineering  
The focus should be pivoted on designing and developing suitable frameworks for integrating Big Data to process optimization based on the context of information gathered from the shopfloor.  ...  This paper aims to investigate the opportunities and the gaps as well as the challenges arising in the current industrial landscape, towards the efficient utilization of Big Data, for process optimization  ...  It is a query language that allows to quickly access RDF data. SPARQL is a graph-matching query language for extracting knowledge from models [79] .  SWRL.  ... 
doi:10.36897/jme/141834 fatcat:tsp4zeziebg5hcxwguwx6dgsgi

Machine Learning Methods Applied for Modeling the Process of Obtaining Bricks Using Silicon-Based Materials

Costel Anton, Silvia Curteanu, Cătălin Lisa, Florin Leon
2021 Materials  
Productivity and product quality maintenance and improvement is a challenge for process engineers.  ...  Our paper aims at using machine learning methods to evaluate the impact of adding new auxiliary materials on the amount of exhaust emissions.  ...  processes for data storage, learning, reasoning and decision making.  ... 
doi:10.3390/ma14237232 pmid:34885386 fatcat:4kw7ny3iajf7lhcy6ck5hi73ga

Computer Vision and Natural Language Processing

Peratham Wiriyathammabhum, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos
2016 ACM Computing Surveys  
We also emphasize strategies to integrate computer vision and natural language processing models as a unified theme of distributional semantics.  ...  We also present a unified view for the field and propose possible future directions.  ...  Linguistics and Information Processing Lab (CLIP) for useful insights and support.  ... 
doi:10.1145/3009906 fatcat:bdgaeoz4w5djhd5spab4lrc4au

Keynote Speaker 1: From IoT Data to Services

2021 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE)  
− Using machine learning, how to reduce the performance gap between the actual building and buildings model − The use of multi-objective optimisation via the use of genetic algorithms (GAs) to find the  ...  , and recommendation models of charging stations for EV drivers.  ...  SPARQL is the semantic query language specifically designed to query data across various systems and databases, and to retrieve and process data stored in RDF format.  ... 
doi:10.1109/icscee50312.2021.9498177 fatcat:ee4ltfbev5adlirism3nm5uzbm

Supporting collaborative development using process models: An integration-focused approach

Komlan Akpedje Kedji, Redouane Lbathd, Bernard Coulette, Mahmoud Nassar, Laurent Baresse, Florin Racaru
2012 2012 International Conference on Software and System Process (ICSSP)  
Our approach is validated by analyzing a collection of opensource projects, and integration utilities based on the implemented process model server have been developed.  ...  We argue that this view has hindered the widespread adoption of process-based collaboration support tools by incurring too much adoption and switching costs.  ...  (AKKA Technologies, Airbus, and Softeam) on the collaborative development of complex systems using the model-driven engineering approach.  ... 
doi:10.1109/icssp.2012.6225954 dblp:conf/ispw/KedjiLCNBR12 fatcat:cqgyqusgjjevtezzdu36z5mgky

DYPROTO â tools for dynamic business processes

René Wörzberger, Thomas Heer
2011 International Journal of Business Process Integration and Management  
Therefore, we contribute an approach for obtaining dynamic process execution support based on this static PMS by automatically augmenting existent WS-BPEL process definitions and run time data.  ...  This research work has been conducted in a three-year cooperation between our department and an IT service provider for insurance companies.  ...  Nagl for his valuable academic input for our work, our project partners K. Wolf, Dr. S. Bühne, and H. Wessels for fruitful discussions about insurance processes and our students N. Ehses, T.  ... 
doi:10.1504/ijbpim.2011.043391 fatcat:26d7dr52vbdllaewqiavy6yumq

Contextualising mainstreaming of disaster resilience concepts in the construction process

Dilanthi Amaratunga, Chamindi Ishara Malalgoda, Kaushal Keraminiyage
2018 International Journal of Disaster Resilience in the Built Environment  
Findings -The primary and secondary data generated a long list of needs and skills. Finally, the identified needs and skills were combined "like-for-like" to produce broader knowledge gaps.  ...  Accordingly, the paper recommends major changes in construction education, research, policy and practice with respect to mainstreaming disaster resilience within the construction process.  ...  Communication x x x 6.3 Big data analytical skills Secondary data 6.4 Standardisation and integration of data Secondary data 6.5 Performance metrics Secondary data 7 Social and cultural awareness  ... 
doi:10.1108/ijdrbe-10-2017-0057 fatcat:mhsjgtcjnvhsplqw5wyttbxgj4

Failure-resilient real-time processing of health streams

Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson
2014 Concurrency and Computation  
The ability to analyze streaming data in real-time is vital in systems that process data from health sensors.  ...  In this work, we introduce a fault-tolerance scheme designed for the Granules stream processing system.  ...  enough to be applicable to computations that rely on other schemes for online learning such as SVMs, Random Forests, and Hidden Markov Models.  ... 
doi:10.1002/cpe.3324 fatcat:pbnw7qvp5vhg7kwbq6dd4felya

Oivos: Simple and Efficient Distributed Data Processing

Steffen Viken Valvåg, Dag Johansen
2008 2008 10th IEEE International Conference on High Performance Computing and Communications  
MapReduce has become a widely employed programming model for large-scale data-intensive computations.  ...  At its core, Cogset provides a few fundamental mechanisms for reliable and distributed storage of data, and parallel processing of statically partitioned data.  ...  , and remains a popular way to model and think about data, even when other tools are employed for data processing.  ... 
doi:10.1109/hpcc.2008.105 dblp:conf/hpcc/ValvagJ08 fatcat:6vzachgul5f3hhbtqcb7d7d76m

Efficiency and Security of Process Transparency in Production Networks—A View of Expectations, Obstacles and Potentials

Elisabeth Ilie-Zudor, Zsolt Kemény, Davy Preuveneers
2016 Procedia CIRP  
Much of the resilience and flexibility of production networks lies in the transparency of processes that allows timely perception of actual process states and adequate decisions or intervention at the  ...  Also, different levels of networked production present specific needs-high throughput and low time lag on the shop-floor level, or tolerances for confidence, gambling and bounded-rational views in cross-company  ...  Data in the Context of Production Control and Logistics", and by the Research Fund KU Leuven.  ... 
doi:10.1016/j.procir.2016.07.018 fatcat:oezyhrzskbcftaw434jspe76gy

Data intelligence on the Internet of Things

Zhangbing Zhou, Kim-Fung Tsang, Zhuofeng Zhao, Walid Gaaloul
2016 Personal and Ubiquitous Computing  
Traditional approaches or platforms are limited in processing these sensory data, which are big data actually.  ...  This special issue, as a dedicated forum, aims for the scientific and industrial community to present their novel models, methodologies, techniques, and solutions which can address theoretical and practical  ...  We specially thank Professor Peter Thomas, the Editor-in-Chief of the Personal and Ubiquitous Computing, for his advice and strong support during the process of putting together this special issue.  ... 
doi:10.1007/s00779-016-0912-1 fatcat:epnyd5m4yrepphv4cwh6copiwi

LAMVI-2: A Visual Tool for Comparing and Tuning Word Embedding Models [article]

Xin Rong, Joshua Luckson, Eytan Adar
2018 arXiv   pre-print
Tuning machine learning models, particularly deep learning architectures, is a complex process. Automated hyperparameter tuning algorithms often depend on specific optimization metrics.  ...  By focusing on word-embedding models ("deep learning for text") we integrate views to compare both high-level statistics as well as internal model behaviors (e.g., comparing word 'distances').  ...  However, the process-in particular for deep learning architectures-is often unintuitive and time consuming.  ... 
arXiv:1810.11367v1 fatcat:nwv5cenm2na5vjqm4fhuay4qnq

Enabling servitization by retrofitting legacy equipment for Industry 4.0 applications: benefits and barriers for OEMs

Michela Zambetti, Muztoba A. Khan, Roberto Pinto, Thorsten Wuest
2020 Procedia Manufacturing  
and then provisioning data-driven value-added services for the manufacturers.  ...  and then provisioning data-driven value-added services for the manufacturers.  ...  Different technical solutions exist for retrofitting machinery by leveraging low cost technology and open source components [17] .  ... 
doi:10.1016/j.promfg.2020.05.144 fatcat:3vai2k2xufesbo34bsqojbn5ry
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