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Datometry Hyper-Q

Lyublena Antova, F. Michael Waas, Rhonda Baldwin, Derrick Bryant, Tuan Cao, Michael Duller, John Eshleman, Zhongxian Gu, Entong Shen, Mohamed A. Soliman
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
Extending the models to include other data sources, e.g., historic data, is critical for backtesting and compliance. However, Q applications cannot run directly on SQL databases.  ...  In this paper we present Hyper-Q, a data virtualization platform that overcomes the chasm.  ...  Processing network traffic natively is key for high throughput in Hyper-Q. Algebrizer The Algebrizer component translates a Q query into an eXTended Relational Algebra (XTRA) expression.  ... 
doi:10.1145/2882903.2903739 dblp:conf/sigmod/AntovaBBCDEGSSW16 fatcat:adgyi35atbghvpck6pd2fehdga

An Edge-centric Ensemble Scheme for Queries Assignment

Kostas Kolomvatsos, Christos Anagnostopoulos
2018 IEEE International Conference on Tools with Artificial Intelligence  
The new era of the Internet of Things (IoT) reveals new potentials for the management of numerous devices. Such devices produce data streams that are guided to the Cloud for further processing.  ...  The allocation is concluded by the assistance of an ensemble similarity scheme responsible to deliver the complexity class for each query.  ...  Current research efforts (e.g., [4] , [10] , [27] ) focus on the data streams management at the edge to reduce the latency experienced by end users.  ... 
dblp:conf/ictai/KolomvatsosA18 fatcat:d5ylcboqi5aohjhwzze72pvqo4

Froid

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, César Galindo-Legaria, Conor Cunningham
2017 Proceedings of the VLDB Endowment  
For decades, RDBMSs have supported declarative SQL as well as imperative functions and procedures as ways for users to express data processing tasks.  ...  We present Froid, an extensible framework for optimizing imperative programs in relational databases.  ...  The authors would like to thank David DeWitt, Jignesh Patel and Mike Zwilling for their support and feedback.  ... 
doi:10.1145/3186728.3164140 fatcat:cylpafjhuzezbaufrukh4lvzs4

Reconfigurable FPGA architecture for computer vision applications in Smart Camera Networks

Luca Maggiani, Claudio Salvadori, Matteo Petracca, Paolo Pagano, Roberto Saletti
2013 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)  
In this respect, we present a novel SCN node architecture based on a device in which a microcontroller manage all the network functionality as well as the remote configuration, while an FPGA implements  ...  Finally, performance evaluation results underline the potential of an hardware software codesign approach in reaching flexibility and reduced processing time.  ...  The module has an input port for data stream and an outport port for histogram storing.  ... 
doi:10.1109/icdsc.2013.6778212 dblp:conf/icdsc/MaggianiSPPS13 fatcat:tq4fmtm4evhsfbwxsww7ct3nqa

Optimization of Imperative Programs in a Relational Database [article]

Karthik Ramachandra, Kwanghyun Park, K. Venkatesh Emani, Alan Halverson, Cesar Galindo-Legaria, Conor Cunningham
2019 arXiv   pre-print
For decades, RDBMSs have supported declarative SQL as well as imperative functions and procedures as ways for users to express data processing tasks.  ...  We present Froid, an extensible framework for optimizing imperative programs in relational databases.  ...  The authors would like to thank David DeWitt, Jignesh Patel and Mike Zwilling for their support and feedback.  ... 
arXiv:1712.00498v4 fatcat:salte7egwjcxffaqyot3wqyygq

A probabilistic model for assigning queries at the edge

Kostas Kolomvatsos, Christos Anagnostopoulos
2019 Computing  
The allocation is concluded by the assistance of an ensemble similarity scheme responsible to deliver the complexity class for each query/task and a probabilistic decision making model.  ...  Data management at the edge of the network can increase the performance of applications as the processing is realized close to end users limiting the observed latency in the provision of responses.  ...  automated models for data management close to end users.  ... 
doi:10.1007/s00607-019-00767-8 fatcat:unpkzhofknavlowtwx6e6plx64

MICROPROCESSOR BOARDS: Compact Markov Models for Random Test Length Calculation [chapter]

Z. Abazi, P. Thevenod-Fosse
1987 Fehlertolerierende Rechensysteme / Fault-Tolerant Computing Systems  
Multimedia streams, multimedia signal conditioning, compression standards, storage mechanisms, multimedia databases, multimedia document management-hypertext and hypermedia, distributed multimedia, data  ...  Data link control Simplex, pipelined and sliding window protocols, simplex performance analysis. X 25 data link layer. Random access techniques. Pure, slotted and finite population ALOHAs.  ...  Load Management : Introduction to load management. Electric energy production and delivery system structure (EEPDS). Design alternatives for EEPD systems.  ... 
doi:10.1007/978-3-642-45628-2_9 dblp:conf/icftcs/AbaziT87 fatcat:s36p24sy4ngp5d5ma2jdlj6qvm

High performance computing in power system applications [chapter]

Djalma M. Falcão
1997 Lecture Notes in Computer Science  
Then, the most computer intensive power system computation models are described. Next, the promising areas of HPC application in power system are commented.  ...  Single Instruction Stream Multiple Data Stream  ...  Space and Time Parallelization This class of methods follows the idea introduced in 27] in which the di erential equations are algebrized for several integration steps, called integration windows, and  ... 
doi:10.1007/3-540-62828-2_109 fatcat:2zmyyypiebed3a2rfogjbkrvde

Dynamic programming systems for modeling and control of the traffic in transportation networks [article]

Nadir Farhi
2019 arXiv   pre-print
Part 1 includes a first chapter containing an introduction and some necessary reviews; two main chapters, one on the max-plus algebra model for the train dynamics on a metro line, the other one on the  ...  This thesis is entitled Dynamic programming systems for modeling and control of the traffic in transportation networks.  ...  Thus, interesting data streams would arrive in real time, and could therefore be used for operational management.  ... 
arXiv:1911.01306v1 fatcat:w4rykimt3repbfq6mcsdwezypu

UsingPerlfor Statistics: Data Processing and Statistical Computing

Giovanni Baiocchi
2004 Journal of Statistical Software  
In this paper we show how Perl, an expressive and extensible high-level programming language, with network and object-oriented programming support, can be used in processing data for statistics and statistical  ...  Then, using practical examples, we demonstrate how Perl's distinguishing features make it particularly well suited to perform labor intensive and sophisticated tasks ranging from the preparation of data  ...  Acknowledgements The author would like to thank Jan de Leeuw, Colin McClean, Jan Minx, and three anonymous referees for helpful comments and suggestions.  ... 
doi:10.18637/jss.v011.i01 fatcat:mmtypgzsbrafzmn5oyjqydtyba

Structure-aware reinforcement learning for node-overload protection in mobile edge computing [article]

Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-zeid, Emmanuel T. Fapi, Hakimeh Purmehdi
2021 arXiv   pre-print
optimal admission control policy in multi-class queues for an average-cost setting.  ...  We extend the framework to work for node overload-protection problem in a discounted-cost setting.  ...  The authors are grateful to Pierre Thibault from Ericsson Systems for setting up the virtual machines to run the docker-testbed experiments.  ... 
arXiv:2107.01025v1 fatcat:hwaj4ufbljcnrhrn7lka66qsau

Academic Entrepreneurship: Gendered Discourses and Ghettos

Ylva Fältholm, Lena Abrahamsson, Eva Källhammer
2010 Journal of Technology Management & Innovation  
The data gathered were sorted, coded and analyzed using the Statistical Package for Social Science (SPSS) now known as the Predictive Analytic Software (PASW) and Excel.  ...  We see this as an important basis when discussing how gender mainstreaming interventions can be introduced in the complex and elusive arena of academic entrepreneurship.  ...  Many studies on research productivity and collaborations include an underlining assumption that collaborative activities increase research productivity (Duque et al., 2005) .  ... 
doi:10.4067/s0718-27242010000100004 fatcat:exivwgvlsna7be5rqshbiuvtwq

Efficient Incremental Data Analysis

Milos Nikolic
2016
Data Model Trill represents stream data using the tempo-relational data model.  ...  Signal Windows TRILLDSP represents uniformly-sampled signals as data streams built using a tempo-relational model.  ...  Spark Streaming [153] allows running simple SQL queries but only for windowed data.  ... 
doi:10.5075/epfl-thesis-7183 fatcat:pcm3qhnilrdx3mx63jquq6zhsm

Generating optimal DAG-structured query evaluation plans

Thomas Neumann, Guido Moerkotte
2009 Computer Science - Research and Development  
The result is an operator DAG (directed acyclic graph). The limitation of this approach is obvious.  ...  We remedy this situation by (1) introducing a general framework for reasoning about sharing and (2) sketching how this framework can be integrated into a plan generator, which then constructs optimal DAG-structured  ...  Acknowledgement We thank Simone Seeger for her help preparing the manuscript.  ... 
doi:10.1007/s00450-009-0061-0 fatcat:ff4wtq2hczg33i5hta6kvgh67i

Minimum color‐degree perfect b ‐matchings

Mariia Anapolska, Christina Büsing, Martin Comis, Tabea Krabs
2020 Networks  
The last speaker of the session will chair the session, with two exceptions for PhD-only sessions: Combinatorial Optimization (Mon 18, Room PP, 16-17) chaired by R.  ...  For the GVRP-CAFS, we formulated a MILP model and we proposed an exact method to solve it in more reasonable time.  ...  The proposed exact approach solved to optimality all the instances within an average computational time of 22 seconds against an average of 557 seconds of the MILP model.  ... 
doi:10.1002/net.21974 fatcat:4qgtutmxrrcy7anvxks4fivcii
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