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1Big Data Storage System Based on a Distributed Hash Tables System
J. Bell. International Journal of Database Management Systems (IJDMS), 12 (4/5): 1-9 (October 2020)
a year ago by @jonasleo123
show all tags
MapReduce,
Table,
Distributed
Scaling
Data,
Big
Hash
MapReduce,Table,DistributedScalingData,BigHash
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3Spark: Cluster computing with working sets
M. Zaharia, M. Chowdhury, M. Franklin, S. Shenker, and I. Stoica. 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 10), (2010)
3 years ago by @becker
show all tags
framework
spark
computing
citedby:scholar:count:6716
distributed
citedby:scholar:timestamp:2022-9-17
paper:fastcor
frameworksparkcomputingcitedby:scholar:count:6716distributedcitedby:scholar:timestamp:2022-9-17paper:fastcor
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1Distributed Simulation of Coloured Petri Nets
C. Junior, L. Vasconcelos, G. Barroso, J. Soares, and L. Leite. 2016 11TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 345 E 47TH ST, NEW YORK, NY 10017 USA, Asociac Iberica Sistemas Tecnologias Informac; Univ Las Palmas Gran Canaria, IEEE, (2016)11th Iberian Conference on Information Systems and Technologies (CISTI), SPAIN, JUN 15-18, 2016.
3 years ago by @ppgfis_ufc_br
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Petri
Distributed
{Distributed
Coloured
Fusion
Simulations}
Places;
Nets;
PetriDistributed{DistributedColouredFusionSimulations}Places;Nets;
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1The future of low voltage networks: Moving from passive to active
R. Leao, G. Barroso, R. Sampaio, J. Almada, C. Lima, M. Rego, and F. Antunes. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 33 (8): 1506-1512 (2011)
3 years ago by @ppgfis_ufc_br
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Low
{Small
size
Regulation;
distributed
Renewables
voltage
Policies;
energies}
generation;
producers;
Low{SmallsizeRegulation;distributedRenewablesvoltagePolicies;energies}generation;producers;
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1Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors
Y. Wang, M. Anderson, J. Cohen, A. Heinecke, K. Li, N. Satish, N. Sundaram, N. Turk-Browne, and T. Willke. SC'15: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, page 1--12. IEEE, (2015)
5 years ago by @becker
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functional
distributed
citedby:scholar:count:15
analysis
matrix
fmri
paper:fastcor
brain
parallel
connectivity
citedby:scholar:timestamp:2021-1-7
correlation
full
fcma
functionaldistributedcitedby:scholar:count:15analysismatrixfmripaper:fastcorbrainparallelconnectivitycitedby:scholar:timestamp:2021-1-7correlationfullfcma
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1Network Security Enhancement in WSN by Detecting Misbehavioural Activity as Copy Cat Nodes
D. J. International Journal of Trend in Scientific Research and Development, 4 (4): 1098-1103 (June 2020)
5 years ago by @ijtsrd
show all tags
Networks
Table
Wireless
Node
Hash
Engineering
node
Distributed
Computer
Witness
Chord
Cryptographic
Sensor
Clone
algorithm
key
NetworksTableWirelessNodeHashEngineeringnodeDistributedComputerWitnessChordCryptographicSensorClonealgorithmkey
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1Preparation and Control of Chemical Filling Station by using DCS
M. Thivyapriya. International Journal of Trend in Scientific Research and Development, 4 (2): 1134-1136 (February 2020)
6 years ago by @ijtsrd
show all tags
Temperature
software
&
Electronics
Transmitter
800XA
control
Flow
(DCS)
System
Engineering
Control
Magnetic
Distributed
and
Communication
Level
Temperaturesoftware&ElectronicsTransmitter800XAcontrolFlow(DCS)SystemEngineeringControlMagneticDistributedandCommunicationLevel
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3Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Y. Lin, S. Han, H. Mao, Y. Wang, and W. Dally. (2017)cite arxiv:1712.01887Comment: we find 99.9% of the gradient exchange in distributed SGD is redundant; we reduce the communication bandwidth by two orders of magnitude without losing accuracy.
7 years ago by @straybird321
show all tags
computing
Distributed
SGD
compression
computingDistributedSGDcompression
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2Distributed Learning with Sublinear Communication
J. Acharya, C. De Sa, D. Foster, and K. Sridharan. (2019)cite arxiv:1902.11259.
7 years ago by @kirk86
show all tags
distributed
learning
distributedlearning
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2Measuring the Effects of Data Parallelism on Neural Network Training
C. Shallue, J. Lee, J. Antognini, J. Sohl-Dickstein, R. Frostig, and G. Dahl. (2018)cite arxiv:1811.03600Comment: Submitted to JMLR.
7 years ago by @kirk86
show all tags
parallel
distributed
paralleldistributed
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1AN IMPROVED LEADER ELECTION ALGORITHM FOR DISTRIBUTED SYSTEMS
P. BeaulahSoundarabai, T. Venugopal, and L. Patnaik. International Journal of Next-Generation Networks (IJNGN), 5 (1): 21 - 29 (March 2013)
8 years ago by @ijfls
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Coordinator
Message
Distributed
Ring
Algorithm
Election
Complexity
System
CoordinatorMessageDistributedRingAlgorithmElectionComplexitySystem
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2Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks
E. Yoon. (2016)HORN.
8 years ago by @jk_itwm
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distributed
distributed
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2PROTECTION ISSUES IN MICRO GRID
P. KUMAR, J. SHANKAR, and Y. NAGARAJU. The International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE), 1 (1): 1-12 (May 2013)
8 years ago by @jacksonrude
show all tags
Inverter
Stability
Distributed
Microgrid
generators
control
Protection.
flow
quality
Power
InverterStabilityDistributedMicrogridgeneratorscontrolProtection.flowqualityPower
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2Classification framework for business components
K. Fellner, and K. Turowski. HICSS'00: Proc. 33rd Hawaii Int'l Conf. on System Sciences, (January 2000)
9 years ago by @krevelen
show all tags
Business
programming;
distributed
application
classification
generic
SanFrancisco;
domain;
component
JavaBeans;
Java;
Enterprise
Objects;
model;
oriented
object
SAP
orientation;
legacy
software
development;
data
object-oriented
component;
complexity;
framework;
management;
thesis
approaches;
business
processing;
systems;
components;
Businessprogramming;distributedapplicationclassificationgenericSanFrancisco;domain;componentJavaBeans;Java;EnterpriseObjects;model;orientedobjectSAPorientation;legacysoftwaredevelopment;dataobject-orientedcomponent;complexity;framework;management;thesisapproaches;businessprocessing;systems;components;
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3Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark
F. Padillo, J. Luna, and S. Ventura. Progress in Artificial Intelligence, (2017)
9 years ago by @becker
show all tags
subgroup
subgroups
parallel
spark
emm
mapreduce
distributed
subgroupsubgroupsparallelsparkemmmapreducedistributed
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1Adaptive Energy Efficient Scheduling (AEES) for Fault Tolerant Coverage in Sensor Networks
J. Winston, and D. Paraamasivan. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (1): 152--155 (January 2015)
10 years ago by @ijritcc
show all tags
offline
cover
approach
Coverage
distributed
update
offlinecoverapproachCoveragedistributedupdate
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2Fast OLAP query execution in main memory on large data in a cluster
M. Weidner, J. Dees, and P. Sanders. Big Data, 2013 IEEE International Conference on, page 518--524. (October 2013)
11 years ago by @christophv
show all tags
Context
parallel_database_cluster
fast_OLAP_query_execution
storage_management
Cluster
query_processing
SQL
data_mining
Message_passing
Data_warehouses
analytical_SQL_queries
parallel_databases
precompiled_query_plans
Distributed
Approximation_algorithms
Efficient_query_execution
Approximation_methods
TPC-H_benchmark_queries
inter-node_communication
Query_processing
To_Read
Benchmark_testing
Message_systems
main_memory_column-stores
Parallel_processing
Data_analysis
Distributed_computing
CPU_utilization
Distributed_databases
full_single_node_parallelization
uncompressed_data
Contextparallel_database_clusterfast_OLAP_query_executionstorage_managementClusterquery_processingSQLdata_miningMessage_passingData_warehousesanalytical_SQL_queriesparallel_databasesprecompiled_query_plansDistributedApproximation_algorithmsEfficient_query_executionApproximation_methodsTPC-H_benchmark_queriesinter-node_communicationQuery_processingTo_ReadBenchmark_testingMessage_systemsmain_memory_column-storesParallel_processingData_analysisDistributed_computingCPU_utilizationDistributed_databasesfull_single_node_parallelizationuncompressed_data
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2Distributed Channel Assignment in Multi-Radio 802.11 Mesh Networks
B. Ko, V. Misra, J. Padhye, and D. Rubenstein. Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE, (2007)
13 years ago by @chsivic
show all tags
LAN802.11
decision,
data
distributed
channel
forwarding
allocation,
network
networks
routing,
algorithms,
selection
network,
mechanism,
networks,
improved
wireless
assignment,
self-stabilizing
capacity,
multiradio
mesh
LAN802.11decision,datadistributedchannelforwardingallocation,networknetworksrouting,algorithms,selectionnetwork,mechanism,networks,improvedwirelessassignment,self-stabilizingcapacity,multiradiomesh
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3On the duality of data-intensive file system design: reconciling HDFS and PVFS
W. Tantisiriroj, S. Son, S. Patil, S. Lang, G. Gibson, and R. Ross. Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, page 67:1--67:12. New York, NY, USA, ACM, (2011)
13 years ago by @telekoma
show all tags
ws1213
pvfs
seminar
distributed
master
performance
seminar:dfs
uni
cloud
system
file
hdfs
hpc
ws1213pvfsseminardistributedmasterperformanceseminar:dfsunicloudsystemfilehdfshpc
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2The Hadoop distributed filesystem: Balancing portability and performance
J. Shafer, S. Rixner, and A. Cox. Performance Analysis of Systems Software (ISPASS), 2010 IEEE International Symposium on, page 122 -133. (March 2010)
13 years ago by @telekoma
show all tags
seminar
distributed
hdfs
hadoop
master
seminar:dfs
uni
filesystem
seminardistributedhdfshadoopmasterseminar:dfsunifilesystem
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publications (hide)69
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