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Data management at scale
2016
Information Services and Use
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By doing so, it may be possible to support broader goals of data management at scale, identify network effects through linked data and highlight possibilities for partnerships, including with the corporate ...
management. ...
Choudhury / Data management at scale ...
doi:10.3233/isu-160795
fatcat:spqodg4wefhtbdndoednm2dqtu
Managing data retention policies at scale
2011
12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops
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large-scale policy management; compliance and regulatory; data retention; encryption key store; cloud service Compliance with regulatory policies on data remains a key hurdle to cloud computing. ...
By deleting the encryption key at a specified retention time associated with the data object, we effectively delete the data object and its copies stored in online and offline environments. ...
With respect to the two key challenges identified earlier, our data retention management service demonstrates that: Policy management at scale requires metadata management at scale. ...
doi:10.1109/inm.2011.5990674
dblp:conf/im/LiSSK11
fatcat:w65v5lzp7jec5oebgvp5grrjd4
Data management and analysis at the Large Scale Data Facility
2011
2011 Sixth International Conference on Digital Information Management
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Introduction The For end-users: DataBrowser graphical tool for exploring and managing the LSDF data also library for meta-data access based on ADALAPI connects to the meta-data repository will be available ...
Stotzka et. al., Perspective of the Large Scale Data Facility supporting nuclear fusion applications, Proceedings PDP 2011. facility
Software
DIC
Outlook
⇒ experiments need storage
⇒ need sophisticated ...
doi:10.1109/icdim.2011.6093357
dblp:conf/icdim/GarciaBHJOPSSWNS11
fatcat:vxu2zoqekjfdbm4nbg4usyyyge
Castor: Contextual IoT Time Series Data and Model Management at Scale
[article]
2019
arXiv
pre-print
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We demonstrate Castor, a cloud-based system for contextual IoT time series data and model management at scale. ...
The main features of Castor are: (1) an efficient pipeline for ingesting IoT time series data in real time; (2) a scalable, hybrid data management service for both time series and contextual data; (3) ...
In this paper, we demonstrate Castor, a system for managing IoT time series data and predictive models along with semantic context information at scale. ...
arXiv:1811.08566v3
fatcat:cx4a4qx2nfgibcqgnxqtab42ie
DataHub: Collaborative Data Science & Dataset Version Management at Scale
[article]
2014
arXiv
pre-print
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We outline the challenges in providing dataset version control at scale. ...
Relational databases have limited support for data collaboration, where teams collaboratively curate and analyze large datasets. ...
Current data management systems are inadequate at supporting these types of collaborative environments. ...
arXiv:1409.0798v1
fatcat:ja4qzcr4h5axpdbgvaqexzcor4
EMODnet marine litter data management at pan-European scale
2019
Ocean and Coastal Management
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This assessment depends on the availability of robust, homogeneous data-sets at the European scale. ...
A data management plan for marine litter has been developed at European level within the existing EMODnet network to collect, homogenise and provide access to standardised data-sets and data products that ...
All EMODnet Chemistry partners and subcontractors are acknowledged for contributing with data and valuable expertise. ...
doi:10.1016/j.ocecoaman.2019.104930
fatcat:cyr2tot7srg4pmsaecs3xw2ohe
VNF chain allocation and management at data center scale
2018
Proceedings of the 2018 Symposium on Architectures for Networking and Communications Systems - ANCS '18
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at data-center-scale. ...
However, existing tools, such as E2 and SOL, limit VNF chain allocation to rack-scale and provide limited support for management of allocated chains. ...
This work is supported in part by a gift from Microsoft Azure, and the Institute for Computing, Information and Cognitive Systems (ICICS) at UBC. ...
doi:10.1145/3230718.3230724
dblp:conf/ancs/KodirovBRBHH18
fatcat:4sfgjlqo4ze7ddxzq7rxluf5ti
BlobSeer: Efficient data management for data-intensive applications distributed at large-scale
2010
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
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to enable efficient data management for dataintensive applications at large scale. ...
While this approach enables efficient fine-grain data transfers at large scale, unlike in the case of BlobSeer, data management transparency is missing, as the user must be aware of data location and manage ...
doi:10.1109/ipdpsw.2010.5470802
dblp:conf/ipps/NicolaeAB10
fatcat:uevzz3ze4ndvvbp5c3gun4qk34
Reconstructing historical ranges with fossil data at continental scales
2004
Forest Ecology and Management
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Our analysis supports the view that populations of these and other species existed at low densities over extensive areas in the past, and such areas would not be accurately mapped using fossil data. ...
It is well known that fossil pollen and plant macrofossil data provide limited information on distribution and abundance of small or diffuse tree populations. ...
Williams provided additional data and ideas. M. Rocca and M. Dietz provided technical assistance. A. Kremer, M. Wolosin, S. Ladeau, K. Brown, I. Ibanez, M. ...
doi:10.1016/j.foreco.2004.05.026
fatcat:l6o4i5grtfap7dwowwyz354bya
Spatial data application for pesticide management at the catchment scale
Uporaba prostorskih podatkov za upravljanje fitofarmacevtskih sredstev na ravni povodja
2018
Geodetski vestnik
Uporaba prostorskih podatkov za upravljanje fitofarmacevtskih sredstev na ravni povodja
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APPLICATION FOR PESTICIDE MANAGEMENT AT THE CATCHMENT SCALE | 39-50 |mehanizmi na padavine. ...
Marjetka Suhadolc | UPORABA PROSTORSKIH PODATKOV ZA UPRAVLJANJE FITOFARMACEVTSKIH SREDSTEV NA RAVNI POVODJA | SPATIAL DATA APPLICATION FOR PESTICIDE MANAGEMENT AT THE CATCHMENT SCALE | 39-50 |
) . ) ...
doi:10.15292/geodetski-vestnik.2018.01.39-50
fatcat:duildcsah5cqloxz5fgd6ejnfm
Petabytes in Practice: Working with Collections as Data at Scale
2019
Data and Information Management
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an understanding of working with digital collections at scale for cultural data. ...
The emerging transdiscipline of Computational Archival Science (CAS) links frameworks such as Brown Dog and repository software such as Digital Repository At Scale To Invite Computation (DRAS-TIC) to yield ...
Maryland is the host of the Digital Repository at Scale that Invites Computation or DRAS-TIC stack to deploy data repositories that scale out to billions of files on potentially thousands of commodity ...
doi:10.2478/dim-2019-0004
fatcat:uefpzvcbrndtlmcmc5bv36hmsm
Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales
[article]
2020
medRxiv
pre-print
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We demonstrate the effectiveness of this approach using local and regional data from China, France, Italy, South Korea, and the United States, as well as national data from 80 countries around the world ...
We show that publicly available data on human mobility --- collected by Google, Facebook, and other providers --- can be used to evaluate the effectiveness of non-pharmaceutical interventions and forecast ...
on policy interventions to mobility data from several different countries at 175 multiple geographic scales. ...
doi:10.1101/2020.10.29.20222547
fatcat:gekdekxm4jgnnifdqz4zvqo45i
A Conceptual Framework for Selecting and Analyzing Stressor Data to Study Species Richness at Large Spatial Scales
1997
Environmental Management
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To date, there has been a lack of conceptual development on how to use stressor data to study geographic patterns of species richness at large spatial scales. ...
In this paper we develop a conceptual framework for selecting stressor data and analyzing their relationship to geographic patterns of species richness at large spatial scales. ...
O'Connor for generously supplying information on his research using regression-tree analysis on breeding bird data and for reviewing an early version of this paper. ...
doi:10.1007/s002679900024
pmid:9008076
fatcat:ixhtyy26gjacrl7kldfqt4wmwa
Time-evolving graph processing at scale
2016
Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems - GRADES '16
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Introduction Graph-structured data is on the rise, in size, complexity and the dynamism they exhibit. ...
Time-evolving graph-structured big data arises naturally in many application domains such as social networks and communication networks. ...
This works well for applications where the records are generated at the same location as the streaming program. For data generated by external applications, e.g. ...
doi:10.1145/2960414.2960419
dblp:conf/grades/IyerLDS16
fatcat:tks4gkhimzhtzocriqu3vxwrle
Public mobility data enables COVID-19 forecasting and management at local and global scales
2021
Scientific Reports
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We evaluate this approach using local and regional data from China, France, Italy, South Korea, and the United States, as well as national data from 80 countries around the world. ...
An advantage of the approach is that it involves minimal assumptions about disease dynamics, and requires only publicly-available data. ...
Funding was also provided by Award 2020-0000000149 from CITRIS and the Banatao Institute at the University of California. ...
doi:10.1038/s41598-021-92892-8
pmid:34188119
fatcat:7zae3u4zkbhpjkltd4gm674o4q
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