Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Andrey Balmin"'
Publikováno v:
Journal of Scheduling. 22:393-411
This paper provides a unified family of algorithms with performance guarantees for malleable scheduling problems on flows. A flow represents a set of jobs with precedence constraints. Each job has a speedup function that governs the rate at which wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::835b24eb3804e07f05e6d7998ea0f3b7
https://doi.org/10.1007/s10951-018-0576-y
https://doi.org/10.1007/s10951-018-0576-y
Publikováno v:
Proceedings of the VLDB Endowment. 7:193-204
To meet the challenge of processing rapidly growing graph and network data created by modern applications, a number of distributed graph processing systems have emerged, such as Pregel and GraphLab. All these systems divide input graphs into partitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2cdb2d07efe76c0c7644d4a2217717d
https://doi.org/10.14778/2732232.2732238
https://doi.org/10.14778/2732232.2732238
Publikováno v:
Scopus-Elsevier
Machine learning algorithms are widely used today for analytical tasks such as data cleaning, data categorization, or data filtering. At the same time, the rise of social media motivates recent uptake in large scale graph processing. Both categories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b703cd17efb2d5cf58af0aed5d9d4d1
https://doi.org/10.14778/2556549.2556553
https://doi.org/10.14778/2556549.2556553
Autor:
Deepak Rajan, Rohit Khandekar, Kirsten W. Hildrum, Andrey Balmin, Sujay Parekh, Kun-Lung Wu, Joel L. Wolf, Rares Vernica
Publikováno v:
The VLDB Journal. 21:589-609
We consider MapReduce clusters designed to support multiple concurrent jobs, concentrating on environments in which the number of distinct datasets is modest relative to the number of jobs. In such scenarios, many individual datasets are likely to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89a28509210920abdeba9a879cdbcf0
https://doi.org/10.1007/s00778-012-0279-5
https://doi.org/10.1007/s00778-012-0279-5
Autor:
Mohamed Y. Eltabakh, Kevin Scott Beyer, Rainer Gemulla, Vuk Ercegovac, Carl-Christian Kanne, Andrey Balmin, Fatma Ozcan, Eugene J. Shekita
Publikováno v:
Scopus-Elsevier
This paper describes Jaql, a declarative scripting language for analyzing large semistructured datasets in parallel using Hadoop's MapReduce framework. Jaql is currently used in IBM's InfoSphere BigInsights [5] and Cognos Consumer Insight [9] product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d37aeae1fe4282397362f2fc934051a
https://doi.org/10.14778/3402755.3402761
https://doi.org/10.14778/3402755.3402761
Autor:
Andrey Balmin, Latha S. Colby, Sharath Srinivas, Emiran Curtmola, Fatma Ozcan, Zografoula Vagena, Quanzhong Li
Publikováno v:
Proceedings of the VLDB Endowment. 1:1408-1411
Keyword search in XML repositories is a powerful tool for interactive data exploration. Much work has recently been done on making XML search aware of relationship information embedded in XML document structure, but without a clear winner in all data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85b86268370d7a9f4bc9788b0fde5553
https://doi.org/10.14778/1454159.1454185
https://doi.org/10.14778/1454159.1454185
Autor:
Frank van Ham, Akanksha Baid, Erik Nijkamp, Berthold Reinwald, Yannis Sismanis, Andrey Balmin, Alkis Simitsis, Heasoo Hwang, Jun Rao
Publikováno v:
Proceedings of the VLDB Endowment. 1:1456-1459
DBPubs is a system for effectively analyzing and exploring the content of database publications by combining keyword search with OLAP-style aggregations, navigation, and reporting. DBPubs starts with keyword search over the content of publications. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19b2fae4a06390cf909dc77087ffc7e0
https://doi.org/10.14778/1454159.1454199
https://doi.org/10.14778/1454159.1454199
Publikováno v:
ICDE
Shared-nothing systems such as Hadoop vastly simplify parallel programming when processing disk-resident data whose size exceeds aggregate cluster memory. Such systems incur a significant performance penalty, however, on the important class of “gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed7cb75c72ff3326c73fb86cd3dd34e
https://doi.org/10.1109/icde.2015.7113356
https://doi.org/10.1109/icde.2015.7113356
Publikováno v:
ICDE
A large scale network of social interactions, such as mentions in Twitter, can often be modeled as a “dynamic interaction graph” in which new interactions (edges) are continually added over time. Existing systems for extracting timely insights fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51bb833d1fee8b5895a04d8e8c7b2cf9
https://doi.org/10.1109/icde.2015.7113363
https://doi.org/10.1109/icde.2015.7113363
Autor:
Andrey Balmin, Lipyeow Lim, J. Hornibrook, M. Wang, Guy M. Lohman, David E. Simmen, Tom Eliaz, C. Zhang
Publikováno v:
IBM Systems Journal. 45:299-319
DB2 XML is a hybrid database system that combines the relational capabilities of DB2 Universal DatabaseTM (UDB) with comprehensive native XML support. DB2 XML augments DB2® UDB with a native XML store, XML indexes, and query processing capabilities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7de971f6fb74860a641998d91eb4620
https://doi.org/10.1147/sj.452.0299
https://doi.org/10.1147/sj.452.0299