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Phenomenon-Aware Stream Query Processing
2007
2007 International Conference on Mobile Data Management
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Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. ...
Then, each incoming continuous query is directed only to those phenomena that participate in the query answer. Two levels of indexing are employed, a phenomenon index and a query index. ...
We introduce the concept of phenomenon-aware query processing and empower data stream management systems with a phenomenon-aware optimizer. 2. ...
doi:10.1109/mdm.2007.11
dblp:conf/mdm/AliMA07
fatcat:4saac6eebfbi5br2cg4xgkgx5u
Timestamp Embedding Query Stream Processing Engine
2015
Indian Journal of Science and Technology
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It takes less time to process temporal, complex and multi queries in proposed system. ...
Findings: The continuous stream of queries is properly handled by the dynamic sliding window and sent to the query optimizer for optimization. ...
Optimize the query to process incoming streaming data using Q opt (S). Execute optimized query EQ and store the cost of query in Qc ( . ...
doi:10.17485/ijst/2015/v8i27/74930
fatcat:h6ldju2r7bdajpmpu7ohz7yege
Transactional Stream Processing
[chapter]
2016
Encyclopedia of Database Systems
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queries concurrently accessing both streaming and stored data sources. ...
The result is a unified transactional model (UTM) for query processing over streams as well as traditional databases. ...
Nevertheless, by using the semantics of the data source the rollback process can be optimized in some cases: when the data sources are streams and the transactions are defined as sequences of inputs, inconsistencies ...
doi:10.1007/978-1-4899-7993-3_80704-1
fatcat:6rrrmvw4ebbntdiusykgnnfyxu
Transactional stream processing
2012
Proceedings of the 15th International Conference on Extending Database Technology - EDBT '12
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queries concurrently accessing both streaming and stored data sources. ...
The result is a unified transactional model (UTM) for query processing over streams as well as traditional databases. ...
Nevertheless, by using the semantics of the data source the rollback process can be optimized in some cases: when the data sources are streams and the transactions are defined as sequences of inputs, inconsistencies ...
doi:10.1145/2247596.2247622
dblp:conf/edbt/BotanFKT12
fatcat:zh7eyp7gibhbdfgjtm2lkdb7ju
Processing Moving Object Data Streams with Data Stream Management Systems
2017
Very Large Data Bases Conference
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In this paper I present my work on the management of such real-time trajectories within a Data Stream Management System (DSMS) to enable simple, flexible and efficient in-memory moving object query processing ...
With the wide spread of cheap and mobile GPS sensors as well as mobile data connections, live streams from moving objects are becoming a huge data source. ...
ACKNOWLEDGMENTS We thank the Ministry of Science and Culture of Lower Saxony, Germany for supporting us with the graduate school Safe Automation of Maritime Systems (SAMS). ...
dblp:conf/vldb/Brandt17
fatcat:i6uoh4cfuvd53dzyxmthrs7fae
Spatio-Temporal Stream Processing in Microsoft StreamInsight
2010
IEEE Data Engineering Bulletin
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This paper covers two approaches to support spatio-temporal stream processing in StreamInsight. ...
StreamInsight embraces a temporal stream model to unify and further enrich query language features, handle imperfections in event delivery and define consistency guarantees on the output. ...
The first approach increases the value of existing libraries and components, and gives spatio-temporal stream processing the ability to piggyback on optimizations applied within the extensibility framework ...
dblp:journals/debu/AliCRK10
fatcat:ah2kiwrrrnal3dkf4bydn24gdy
LifeStream: A High-performance Stream Processing Engine for Waveform Data
[article]
2020
arXiv
pre-print
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LifeStream hits the sweet spot between ease of programming by providing a rich temporal query language support and performance by employing optimizations that exploit the constant frequency nature of physiological ...
LifeStream demonstrates end-to-end performance up to 7.5× higher than state-of-the-art streaming engines and 3.2× than hand-optimized numerical libraries. ...
(i) Microsoft Trill, a state-of-the-art temporal query processing engine specially optimized for single machine performance. ...
arXiv:2012.00192v1
fatcat:vdjdlnjc7vcddabbepzdr2urpy
Cloud-based data stream processing
2014
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems - DEBS '14
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Finally, we present open challenges for the next generation of cloud-based data stream processing engines. ...
Novel load balancing approaches focus on elastic scaling over hundreds of instances based on the data and query workload. ...
In addition, the output of all instances needs to be sorted based on a timestamp to ensure temporal ordering. Parallelization is a central feature of any cloud-based data stream processing system. ...
doi:10.1145/2611286.2611309
dblp:conf/debs/HeinzeAQJ14
fatcat:u67igik235fqdjngoraiukucr4
Adapting Stream Processing Framework for Video Analysis
2015
Procedia Computer Science
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., relation and arrable) and querying capabilities to infer long-term research and development issues. ...
Other continuous data generators (surveillance, traffic data) have also prompted processing and analysis of these streams for applications such as traffic congestion/accidents and personalized marketing ...
For example, most of the traditional stream processing deals with structured, text and numeric data. Many of the operations used on these data are well-defined and optimized by a query optimizer. ...
doi:10.1016/j.procs.2015.05.372
fatcat:rhpz3unv6zflzb2qeuqxp32t7q
Enabling Signal Processing over Data Streams
2017
Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17
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In this paper, we advocate a deep integration of signal processing operations and general-purpose query processors. ...
We aim to reconcile the disparate data models and provide a common query language that allows users to seamlessly interleave tempo-relational and signal operations for both online and offline processing ...
Query Language Trill's query language is modeled after LINQ [7] , with temporal interpretation of the standard relational operations and new operations for temporal manipulation. ...
doi:10.1145/3035918.3035935
dblp:conf/sigmod/NikolicCG17
fatcat:m7wwhctohfb2fi5pze6ubibnn4
VeilGraph: incremental graph stream processing
2022
Journal of Big Data
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In the scope of stream processing over graphs, we research the trade-offs between result accuracy and the speedup of approximate computation techniques. ...
With the advent of greater volumes of information and the need for continuously updated results under temporal constraints, it is necessary to explore alternative approaches that further enable performance ...
Acknowledgements This work was supported by national funds through FCT, Fundação para a Ciência e a Tecnologia, under projects UIDB/50021/2020, PTDC/EEI-COM/30644/2017, and PTDC/CPO-CPO/28495/2017. ...
doi:10.1186/s40537-022-00565-8
fatcat:223iokfk35fylc257jtmk2h67q
Complex Event Processing on Real-time Video Streams
2020
Very Large Data Bases Conference
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Finally, we describe how query plans on real-time videos can be optimized and deployed on edge devices with limited computational and network capabilities. ...
However, conventional complex event processing (CEP) systems fail to support video processing, while the existing video query languages offer limited support for expressing advanced CEP queries, such as ...
And many thanks to Marios Fragkoulis, Christos Koutras, Agathe Balayn, Andra Ionescu and Georgios Siachamis for their valuable feedback on this work. ...
dblp:conf/vldb/Li20
fatcat:5afudsgmhnfx7ammpksizxirji
High-performance complex event processing over streams
2006
Proceedings of the 2006 ACM SIGMOD international conference on Management of data - SIGMOD '06
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In this paper, we present the design, implementation, and evaluation of a system that executes complex event queries over real-time streams of RFID readings encoded as events. ...
Our approach uses native operators to efficiently handle query-defined sequences, which are a key component of complex event processing, and pipelines such sequences to subsequent operators that are built ...
ACKNOWLEDGEMENTS We thank Mary Fernandez, Michael Franklin, Tyson Condie, and the anonymous reviewers for their valuable comments. ...
doi:10.1145/1142473.1142520
dblp:conf/sigmod/WuDR06
fatcat:apuxlcsbuvcx3h5d6uonf62kmm
Runtime Semantic Query Optimization for Event Stream Processing
2008
2008 IEEE 24th International Conference on Data Engineering
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Reasoning using these known constraints enables us to predict the non-occurrences of certain future events, thereby helping us to identify and then terminate the long running query processes that are guaranteed ...
In this work, we focus on exploiting event constraints to optimize CEP over large volumes of business transaction streams. ...
However, the existing works on temporal reasoning focus on the language specification and enforcement instead of utilizing temporal constraints to optimize queries.
VIII. ...
doi:10.1109/icde.2008.4497476
dblp:conf/icde/DingCRTHC08
fatcat:lnfcsif7m5f6jndqyihc6idmz4
Challenges in Linked Stream Data Processing: A Position Paper
2010
International Semantic Web Conference
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We will focus on data representation and storage, query model and query processing, highlighting the main differences compared to Linked Data processing and looking at the approaches that currently address ...
However, the highly dynamic and temporal nature of Linked Stream Data poses many challenges in making Linked Stream Data a reality that users and applications can benefit from. ...
SFI/08/CE/I1380 (Lion-2) and the Irish Research Council for Science, Engineering and Technology (IRCSET). ...
dblp:conf/semweb/PhuocPH10
fatcat:g27poknhdffatocz2rer43b44y
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