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1
May 2017
SIGMOD '17: Proceedings of the 2017 ACM International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 87, Downloads (12 Months): 268, Downloads (Overall): 268
Full text available:
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A key feature of database systems is to provide transparent access to stored data. In distributed database systems, this includes data allocation and fragmentation. Transparent access introduces data dependencies and increases system complexity and inter-process communication. Therefore, many developers are exchanging transparency for better scalability using sharding and similar techniques. ...
Keywords:
database allocation, database data placement, partially replicated database, shared-nothing database system, data partitioning
CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
2
February 2010
ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1, Downloads (12 Months): 3, Downloads (Overall): 119
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Advancements in communication technologies have given rise to Mobile Database Systems (MDS). MDS allows a mobile user to initiate transactions from anywhere and at any time and guarantees their consistency preserving execution. Transaction processing in MDS has been suggested by modifying the traditional two and three phase commit (2PC) to ...
Keywords:
location dependent data, timeout, mobile database systems
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
3
January 2000
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
4
March 1993
ACM SIGMOD Record: Volume 22 Issue 1, March 1993
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1, Downloads (12 Months): 3, Downloads (Overall): 91
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This paper presents the SIRIO project, a commercial experience within Spanish industry, developed for Tecnatom S.A. by the Data and Knowledge Bases Research Group at the Technical University of Madrid. SIRIO runs over a heterogeneous local area network, with a client-server architecture, using the following tools: Oracle as RDBMS, running ...
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
5
March 2011
SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 6, Downloads (12 Months): 19, Downloads (Overall): 270
Full text available:
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In this paper, we propose a fast approach that parallelizes the deduplication process on multicore processors. Our approach, named MD-Approach, combines an efficient blocking method with a robust data parallel programming model. The blocking phase is composed of two steps. The first step generates large blocks by grouping records with ...
Keywords:
deduplication, parallel systems, data integration
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
6
January 1995
Modern database systems: the object model, interoperability, and beyond
Publisher: ACM Press/Addison-Wesley Publishing Co.
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
7
June 2005
MobiDE '05: Proceedings of the 4th ACM international workshop on Data engineering for wireless and mobile access
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2, Downloads (12 Months): 6, Downloads (Overall): 358
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Scalability and energy management issues are crucial for sensor network databases. In this paper, we introduce the Sharing and PArtitioning of Stream Spectrum (SPASS) protocol as a new approach to provide scalability with respect to the number of sensors and to manage the power consumption efficiently. The spectrum of a ...
Keywords:
data stream systems, sensor networks, sensor databases
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
8
March 2011
EDBT/ICDT '11: Proceedings of the 14th International Conference on Extending Database Technology
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 1, Downloads (12 Months): 10, Downloads (Overall): 180
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This work presents MIDAS-RDF, a distributed P2P RDF/S repository that is built on top of a distributed multi-dimensional index structure. MIDAS-RDF features fast retrieval of RDF triples satisfying various pattern queries by translating them into multi-dimensional range queries, which can be processed by the underlying index in hops logarithmic to ...
Keywords:
P2P systems, RDF/S stores
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
9
March 2012
ICDT '12: Proceedings of the 15th International Conference on Database Theory
Publisher: ACM
Bibliometrics:
Citation Count: 18
Downloads (6 Weeks): 1, Downloads (12 Months): 12, Downloads (Overall): 264
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In this paper, we design and analyze parallel algorithms for skyline queries. The skyline of a multidimensional set consists of the points for which no other point exists that is at least as good along every dimension. As a framework for parallel computation, we use both the MP model proposed ...
Keywords:
database theory, parallel computation, skyline queries
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
10
October 2016
EDB '16: Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3, Downloads (12 Months): 17, Downloads (Overall): 17
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As the volume of relational data is increased significantly, big data technologies have been noticed for recent years. Hadoop File System (HDFS) [14] is a basis of several big data systems and enables large data sets to be stored across the big data environment which is composed of many computers. ...
Keywords:
big data platform, hadoop, storage technology, HBase, distributed store
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
11
November 2014
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 9, Downloads (12 Months): 70, Downloads (Overall): 257
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We study provisioning and job reconfiguration techniques for adapting to execution environment changes when processing data streams on cluster-based deployments. By monitoring the performance of an executing job, we identify computation and communication bottlenecks. In such cases we reconfigure the job by reallocating its tasks to minimize the communication cost. ...
Keywords:
task allocation, data stream processing, resource utilization, distributed and real-time computation
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
12
January 1981
ACM '81: Proceedings of the ACM '81 conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1, Downloads (12 Months): 3, Downloads (Overall): 37
Full text available:
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This discussion of replicated data will investigate such questions as: What good is replicated data? What overhead does it have? What cost/benefit is there to the increased availability it may provide? How can a system take advantage of this availability?
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
13
November 2007
ACM Transactions on Database Systems (TODS): Volume 32 Issue 4, November 2007
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 1, Downloads (12 Months): 12, Downloads (Overall): 854
Full text available:
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Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive structured relations from unstructured text; as another example, focused crawlers explore the Web to locate pages about specific topics. Execution plans for text-centric tasks ...
Keywords:
focused crawling, text database selection, distributed information retrieval, Metasearching, information extraction
CCS:
Parallel and distributed DBMSs
14
May 2015
SIGMOD '15: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6, Downloads (12 Months): 59, Downloads (Overall): 234
Full text available:
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Recently, Amazon has announced Redshift, a Parallel-Database-as-a Service (PDaaS). Redshift adopts the "virtual cluster" approach to implement multitenancy, which has the merit of hard isolation among tenants (i.e., tenants do not interfere even when sharing resources). However, that benefit comes with poor resource utilization due to the significant redundancy incurred ...
Keywords:
consolidation, database-as-a-service, cloud databases, multi-tenant databases, parallel databases
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
15
June 2014
SIGMOD '14: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 5, Downloads (12 Months): 64, Downloads (Overall): 333
Full text available:
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The proliferation of data in RDF format has resulted in the emergence of a plethora of specialized management systems. While the ability to adapt to the complexity of a SPARQL query -- given their inherent diversity -- is crucial, current approaches do not scale well when faced with substantially complex, ...
Keywords:
joins, hbase, sparql, hadoop, mapreduce, nosql, rdf
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
16
June 2011
SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 3, Downloads (12 Months): 15, Downloads (Overall): 397
Full text available:
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Cloud data management systems are growing in prominence, particularly at large Internet companies like Google, Yahoo!, and Amazon, which prize them for their scalability and elasticity. Each of these systems trades off between low-latency serving performance and batch processing throughput. In this paper, we discuss our experience running batch-oriented Hadoop ...
Keywords:
bulk load, hybrid, PNUTS, batch, hadoop, serving
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
17
May 2012
SIGMOD '12: Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Publisher: ACM
Bibliometrics:
Citation Count: 14
Downloads (6 Weeks): 3, Downloads (12 Months): 37, Downloads (Overall): 1,032
Full text available:
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Sorting is a fundamental kernel used in many database operations. The total memory available across cloud computers is now sufficient to store even hundreds of terabytes of data in-memory. Applications requiring high-speed data analysis typically use in-memory sorting. The two most important factors in designing a high-speed in-memory sorting system ...
Keywords:
distributed, multi core, simd, many core, sorting, cloud computing, ram sort
CCS:
Parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
18
July 2016
NDA '16: Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 13, Downloads (12 Months): 119, Downloads (Overall): 119
Full text available:
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Graphs are an intuitive way to model complex relationships between real-world data objects. Thus, graph analytics plays an important role in research and industry. As graphs often reflect heterogeneous domain data, their representation requires an expressive data model including the abstraction of graph collections, for example, to analyze communities inside ...
Keywords:
graph data models, Apache Flink, graph analytics
CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Full Text:
... up to 11 billion edges.CCS Concepts?Information systems ? Graph-based databasemodels; Parallel and distributed DBMSs; ;KeywordsGraph Data Models, Graph Analytics, Apache Flink1. INTRODUCTIONGraphs are a ...
19
June 2016
BeyondMR '16: Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4, Downloads (12 Months): 45, Downloads (Overall): 50
Full text available:
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We study the problem of distributing the tuples of a relation to a number of processors organized in an r -dimensional hypercube, which is an important task for parallel join processing. In contrast to previous work, which proposed randomized algorithms for the task, we ask here the question of how ...
CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
20
May 2017
DAMON '17: Proceedings of the 13th International Workshop on Data Management on New Hardware
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 14, Downloads (12 Months): 56, Downloads (Overall): 56
Full text available:
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General Purpose computing on Graphics Processing Units (GPGPU) has become an increasingly popular option for accelerating database queries. However, GPUs are not well-suited for all types of queries as data transfer costs can often dominate query execution. We develop a methodology for quantifying how well databases utilize GPU architectures using ...
Keywords:
GPGPU, GPU database, profiling
CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Primary CCS:
Parallel and distributed DBMSs
Relational parallel and distributed DBMSs
Full Text:
... attributed to stalls and scalar instructions.CCS CONCEPTS? Information systems? Relational parallel and distributed DBMSs; ;?Computer systems organization? Single instruction, multipledata;KEYWORDSGPGPU, Pro?ling, GPU DatabaseACM Reference ...
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