Data intensive applications
Fine Grained Interference and Deadline Aware Scheduling For Data Intensive Applications in Virtualized Environments
7
Matching Data Intensive Applications and Hardware/Software Architectures
78
Significance of Hierarchical and Markov Clustering in Grouping Aware Data Placement for Data Intensive Applications Having Interest Locality
13
Location-aware Associated Data Placement for Geo-distributed Data-intensive Applications
9
Review On Data Replication with QoS and Energy Consumption for Data Intensive Applications in Cloud Computing
5
Using Pre-Execution and Helper Threads for Speeding Up Data Intensive Applications
6
LATEST DATA STORAGE TECHNIQUES IN CLOUD COMPUTING FOR DATA INTENSIVE APPLICATIONS
10
Improvement of Data-Intensive Applications Running on Cloud Computing Clusters
115
MapReduce and Data Intensive Applications
24
Data Intensive Applications on Clouds
52
Parallelisation for data intensive applications over peer to peer networks
134
An extensible and scalable Pilot-MapReduce framework for data intensive applications on distributed cyberinfrastructure
46
Tools Supporting Generation of Data-Intensive Applications for a Web Environment 1, 2
10
Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools
38
Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications
62
Enhancing Data Processing And Management For Big-Data Intensive Applications Based On Cloud Computing
6
Geoinformatics and Data Intensive Applications on Clouds
44
Database Sampling to Support the Development of Data Intensive Applications
150
Multicore and Cloud Technologies for Data Intensive Applications
51
Sensors and other Data Intensive Applications on Clouds
63