MapReduce scheduling algorithms: a review
Recent trends in big data have shown that the amount of data continues to increase at an
exponential rate. This trend has inspired many researchers over the past few years to …
exponential rate. This trend has inspired many researchers over the past few years to …
Energy-aware scheduling of mapreduce jobs for big data applications
The majority of large-scale data intensive applications executed by data centers are based
on MapReduce or its open-source implementation, Hadoop. Such applications are executed …
on MapReduce or its open-source implementation, Hadoop. Such applications are executed …
Encoded bitmap indexing for data warehouses
MC Wu, AP Buchmann - Proceedings 14th International …, 1998 - ieeexplore.ieee.org
Complex query types, huge data volumes, and very high read/update ratios make the
indexing techniques designed and tuned for traditional database systems unsuitable for …
indexing techniques designed and tuned for traditional database systems unsuitable for …
Joint scheduling of processing and shuffle phases in mapreduce systems
F Chen, M Kodialam… - 2012 Proceedings IEEE …, 2012 - ieeexplore.ieee.org
MapReduce has emerged as an important paradigm for processing data in large data
centers. MapReduce is a three phase algorithm comprising of Map, Shuffle and Reduce …
centers. MapReduce is a three phase algorithm comprising of Map, Shuffle and Reduce …
From the cloud to the atmosphere: Running MapReduce across data centers
Efficiently analyzing big data is a major issue in our current era. Examples of analysis tasks
include identification or detection of global weather patterns, economic changes, social …
include identification or detection of global weather patterns, economic changes, social …
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications
PG Vinueza Naranjo, E Baccarelli… - The journal of …, 2018 - Springer
With the incoming 5G access networks, it is forecasted that Fog computing (FC) and Internet
of Things (IoT) will converge onto the Fog-of-IoT paradigm. Since the FC paradigm spreads …
of Things (IoT) will converge onto the Fog-of-IoT paradigm. Since the FC paradigm spreads …
Budget-driven scheduling algorithms for batches of MapReduce jobs in heterogeneous clouds
In this paper, we consider task-level scheduling algorithms with respect to budget and
deadline constraints for a batch of MapReduce jobs on a set of provisioned heterogeneous …
deadline constraints for a batch of MapReduce jobs on a set of provisioned heterogeneous …
An overview on cloud computing platform spark for Human Genome mining
D Ding, D Wu, F Yu - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
The development of the Human Genome Project provides the important technical guarantee
for people's health. The gene sequencing service plays an important role in the disease …
for people's health. The gene sequencing service plays an important role in the disease …
A trust-aware mechanism for cloud federation formation
L Mashayekhy, MM Nejad… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Cloud providers can form cloud federations by pooling their resources together to balance
their loads, reduce their costs, and manage demand spikes. However, forming cloud …
their loads, reduce their costs, and manage demand spikes. However, forming cloud …
Optimization for speculative execution in big data processing clusters
A big parallel processing job can be delayed substantially as long as one of its many tasks is
being assigned to an unreliable or congested machine. To tackle this so-called straggler …
being assigned to an unreliable or congested machine. To tackle this so-called straggler …