Benchmarking dependability of mapreduce systems
A Sangroya, D Serrano… - 2012 IEEE 31st …, 2012 - ieeexplore.ieee.org
MapReduce is a popular programming model for distributed data processing. Extensive
research has been conducted on the reliability of MapReduce, ranging from adaptive and on …
research has been conducted on the reliability of MapReduce, ranging from adaptive and on …
[PDF][PDF] Availability of Jobtracker machine in hadoop/mapreduce zookeeper coordinated clusters
E Okorafor, MK Patrick - Advanced Computing, 2012 - Citeseer
It is difficult to use the traditional Message Passing Interface (MPI) approach to implement
synchronization, coordination, and prevent deadlocks in distributed systems. This difficulty is …
synchronization, coordination, and prevent deadlocks in distributed systems. This difficulty is …
MRBS: towards dependability benchmarking for Hadoop MapReduce
MapReduce is a popular programming model for distributed data processing. Extensive
research has been conducted on the reliability of MapReduce, ranging from adaptive and on …
research has been conducted on the reliability of MapReduce, ranging from adaptive and on …
Experience with benchmarking dependability and performance of MapReduce systems
MapReduce provides a convenient means for distributed data processing and automatic
parallel execution on clusters of machines. It has various applications and is used by several …
parallel execution on clusters of machines. It has various applications and is used by several …
Open reading frame phylogenetic analysis on the cloud
Phylogenetic analysis has become essential in researching the evolutionary relationships
between viruses. These relationships are depicted on phylogenetic trees, in which viruses …
between viruses. These relationships are depicted on phylogenetic trees, in which viruses …
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark
Skyline computations are a way of finding the best data points based on multiple criteria for
location-based decision-making. However, as the input data grows larger, these …
location-based decision-making. However, as the input data grows larger, these …
A fault-tolerant environment for large-scale query processing
As datasets are increasing in size, the data management and processing needs are being
met with added parallelism, ie, by involving more nodes and/or cores in the system. This, in …
met with added parallelism, ie, by involving more nodes and/or cores in the system. This, in …
HBase fine grained access control with extended permissions and inheritable roles
Y Lai, Q Qian - 2015 IEEE/ACIS 16th International Conference …, 2015 - ieeexplore.ieee.org
HBase is a widely used distributed and column-oriented database based on HADOOP and
HDFS. But it still has some shortcomings in storing and sharing data. In order to upgrade the …
HDFS. But it still has some shortcomings in storing and sharing data. In order to upgrade the …
Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
The computation of the skyline provides a mechanism for utilizing multiple location-based
criteria to identify optimal data points. However, the efficiency of these computations …
criteria to identify optimal data points. However, the efficiency of these computations …
Learner's satisfaction within a breast imaging eLearning course for radiographers
IC Moreira, SR Ventura, I Ramos… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Background: An asynchronous eLearning system was developed for radiographers in order
to promote a better knowledge about senology and mammography. Objectives: to assess …
to promote a better knowledge about senology and mammography. Objectives: to assess …