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Parallel and Distributed Data Management
[chapter]
2010
Lecture Notes in Computer Science
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In this context, this topic sought papers in all aspects of data management (including databases and data-intensive applications) whose focus relates to some form of parallelism and concurrency. ...
The notion of parallelism and concurrent execution at all levels remains a key element in achieving scalability and managing efficiently such data-intensive applications, but the changing nature of the ...
In this context, this topic sought papers in all aspects of data management (including databases and data-intensive applications) whose focus relates to some form of parallelism and concurrency. ...
doi:10.1007/978-3-642-15277-1_30
fatcat:vcbnyv67rjeszftvm2hx5yuczq
A parallel data distribution management algorithm
2013
2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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2014 pre-print arXiv:1309.3458v2 fatcat:feu26vazz5aitdppw2ezaj3j7iOther Versions
ITM is based on a simple Interval Tree data structure, and exhibits an embarrassingly parallel structure. ...
Unfortunately, many solutions employed for the Data Distribution Management service of the High Level Architecture are either inefficient, or can only partially be parallelized. ...
A Parallel Data Distribution Management Algorithm. Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications (DT-RT 2013). ...
doi:10.1109/ds-rt.2013.23
dblp:conf/dsrt/MarzollaDM13
fatcat:igioy6lgingvbdo6qqw2y5unse
Scheduling parallel and distributed processing for automotive data stream management system
2017
Journal of Parallel and Distributed Computing
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2017 pre-print arXiv:1705.00307v1 fatcat:lo3bm6ll3vf2bnfuuoqxopwm3yOther Versions
In order to adapt HSV_CC to automotive data stream management system (DSMSs), one must address three issues: (i) previous task and message schedules might lead to less efficient resource usages; (ii) the ...
In addition, the proposed HVLB_CC (B) algorithm can schedule more varied task graphs without reducing performance, and, using imprecise computation models, HVLB_CC_IC yields higher precision data than ...
In current systems, automotive data from on-board and external sensors are processed and managed individually by separate electronic control units (ECUs). ...
doi:10.1016/j.jpdc.2017.06.012
fatcat:7hkbjotqoreu5cecwtaichruga
A new landscape for distributed and parallel data management
2012
Distributed and parallel databases
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computing and big data, and the continued growth of increasing variety of data including social and sensor data, each presenting us with unique data management challenges and new opportunities. ...
New architectures for data processing are emerging: The last decade saw the rise of multicore architectures offering newer opportunities in parallel processing and innovations in voluntary computing. ...
Our plan is to have more regular update to the editorial board to give us agility in constantly refocusing on that is emergent and important in data management. ...
doi:10.1007/s10619-012-7091-5
fatcat:lxjoevm3ivdqpmuszmpgx7civu
Parallel sort-based matching for data distribution management on shared-memory multiprocessors
2017
2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
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2017 pre-print arXiv:1703.06680v3 fatcat:ey23kmqyx5e3fhf5jgjkgf7wgmOther Versions
Management (DDM) service. ...
Sort-Based Matching is one of the most efficient serial algorithms for the DDM problem, but is quite difficult to parallelize due to data dependencies. ...
Parallel Sort-Based Matching for Data Distribution Management on Shared-Memory Multiprocessors. ...
doi:10.1109/distra.2017.8167660
dblp:conf/dsrt/MarzollaD17
fatcat:mzwjbm7lnne3nezoaherpguxoe
Managed communication and consistency for fast data-parallel iterative analytics
2015
Proceedings of the Sixth ACM Symposium on Cloud Computing - SoCC '15
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guarantees for large-scale data-parallel ML applications. ...
While data-parallel ML applications often employ a loose consistency model when updating shared model parameters to maximize parallelism, the accumulated error may seriously impact the quality of refinements ...
CNS-1042543 (PRObE, www.nmcprobe.org), IIS-1447676 (Big Data), the National Institute of Health under contract GWAS R01GM087694, and DARPA under contracts FA87501220324 and FA87501220324 (XDATA). ...
doi:10.1145/2806777.2806778
dblp:conf/cloud/WeiDQHCGGGX15
fatcat:mgqx7iwlare3tciivbyszgk5oq
Design and analysis of data management in scalable parallel scripting
2012
2012 International Conference for High Performance Computing, Networking, Storage and Analysis
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We co-design the data management system with the data-aware scheduler to enable dataflow pattern identification and automatic optimization. ...
Thus, we design and implement a scalable MTC data management system that uses aggregated compute node local storage for more efficient data movement strategies. ...
David Mathog (Caltech) for his support with parallel BLAST, and the ALCF support team. Work by Katz was supported by the National Science Foundation while working at the Foundation. ...
doi:10.1109/sc.2012.44
dblp:conf/sc/ZhangKWEF12
fatcat:mdukzucq7jf33ebsjggjetd7qi
Blending Extensibility and Performance in Dense and Sparse Parallel Data Management
2014
IEEE Transactions on Parallel and Distributed Systems
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Our solution integrates dense and sparse data management using a common interface, that also decouples data representation, partitioning, and layout from the algorithmic and parallel strategy decisions ...
Dealing with both dense and sparse data in parallel environments usually leads to two different approaches: To rely on a monolithic, hard-to-modify parallel library, or to code all data management details ...
ACKNOWLEDGMENTS This research is partly supported by the Castilla-Leon Regional Government (VA172A12-2); Ministerio de Industria, Spain (CENIT OCEANLIDER); MICINN (Spain) and the European Union FEDER ( ...
doi:10.1109/tpds.2013.248
fatcat:ecciaa4e6razpmy24z7lefzutq
Special issue on scientific and statistical data management
2019
Distributed and parallel databases
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We also thank the reviewers for their generous help and valuable comments. We are grateful to Prof. Divyakant Agrawal and Prof. Mohamed Mokbel, the Editors-in-Chief of DAPD, and Prof. Amit P. ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
We solicited contributions from a wide range of sources, including at the 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017). ...
doi:10.1007/s10619-019-07258-x
fatcat:4tyqg3h3u5cqxhwgy5dhq5bgty
Editor's Note: Special Section on Scalable Data Management
2014
Distributed and parallel databases
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Management." ...
The two papers in this section include: • "Efficient integrity verification of replicated data in cloud using homomorphic encryption" by Raghul Mukundan, Sanjay Madria, Mark Linderman and • "OATS: online ...
doi:10.1007/s10619-014-7154-x
fatcat:ffxbxvsq4vdvjbqxtvrhcxonb4
Data management and control-flow aspects of an SIMD/SPMD parallel language/compiler
1993
IEEE Transactions on Parallel and Distributed Systems
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Language constructs (and their implementations) for data management, data-dependent control-flow, and PE-address dependent control-flow are presented. ...
and SPMD modes of parallelism, are described. ...
Quammen, and J. Stuhlmacher. ...
doi:10.1109/71.207596
fatcat:bfzl5aowcbbhfpcfkzpocdfhgy
Special issue on secure and privacy-aware data management
2014
Distributed and parallel databases
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To address these challenges, and to capture the full value of large data, we need novel secure and privacy-aware data management solutions. ...
This special issue presents high quality solution ideas related to the secure and privacy-aware data management challenges occurring in different application domains, such as online social networks, location ...
The seventh paper: Dynamic Delegation Framework for Role based Access Control in Distributed Data Management Systems, by Chun Ruan, and Vijay Varadharaja deals with access control and related trusted issues ...
doi:10.1007/s10619-014-7144-z
fatcat:zmzwdba6yvfrpcv6gbzufizg6i
Guest editorial: large-scale data curation and metadata management
2018
Distributed and parallel databases
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Introduction We are delighted to present this special issue of the distributed and parallel databases journal (DPDB) on large-scale data curation and metadata management. ...
The scope of the issue covered a wide range of subtopics including: Metadata summarization, mining, and deep analytics Distributed data curation and metadata management Big data curation and annotation ...
doi:10.1007/s10619-017-7217-x
fatcat:4i2cs625yfcgnfrvuqmmy7zm5u
Special issue on data management on modern hardware
2014
Distributed and parallel databases
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and data retention). ...
The first article, Parallel Outlier Detection on Uncertain Data for GPUs, uses graphics processing units (GPUs) as an instance of a specialized co-processor to accelerate data processing. ...
doi:10.1007/s10619-014-7168-4
fatcat:zrdyfd2zereo3ezbfiexzhpsre
An Adaptive Data-Shipping Architecture for Client Caching Data Management Systems
2004
Distributed and parallel databases
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Object database management systems (ODBMS), file-systems, mobile data management systems, multi-tiered Web-server systems and hybrid query-shipping/data-shipping architectures all use some variant of the ...
Data-shipping is an important form of data distribution architecture where data objects are retrieved from the server, and are cached and operated upon at the client nodes. ...
A buffer manager, a lock manager, and a recovery manager have been modeled at both the clients and the server. ...
doi:10.1023/b:dapd.0000013069.97679.62
fatcat:plgjo6h5pvcnzipoj7ljbrze3q
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