Big data: survey, technologies, opportunities, and challenges

N Khan, I Yaqoob, IAT Hashem, Z Inayat… - The scientific world …, 2014 - Wiley Online Library
Big Data has gained much attention from the academia and the IT industry. In the digital and
computing world, information is generated and collected at a rate that rapidly exceeds the …

A survey of migration mechanisms of virtual machines

V Medina, JM García - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
In the virtualization area, replication has been considered as a mechanism to provide high
availability. A high-availability system should be active most of the time, and this is the …

Big data: A survey

M Chen, S Mao, Y Liu - Mobile networks and applications, 2014 - Springer
In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

Toward scalable systems for big data analytics: A technology tutorial

H Hu, Y Wen, TS Chua, X Li - IEEE access, 2014 - ieeexplore.ieee.org
Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

[图书][B] Distributed and cloud computing: from parallel processing to the internet of things

K Hwang, J Dongarra, GC Fox - 2013 - books.google.com
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

MapReduce in the Clouds for Science

T Gunarathne, TL Wu, J Qiu… - 2010 IEEE second …, 2010 - ieeexplore.ieee.org
The utility computing model introduced by cloud computing combined with the rich set of
cloud infrastructure services offers a very viable alternative to traditional servers and …

Energy-aware scheduling of embarrassingly parallel jobs and resource allocation in cloud

L Shi, Z Zhang, T Robertazzi - IEEE Transactions on Parallel …, 2016 - ieeexplore.ieee.org
In cloud computing, with full control of the underlying infrastructures, cloud providers can
flexibly place user jobs on suitable physical servers and dynamically allocate computing …

Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control

A Ali-Eldin, M Kihl, J Tordsson, E Elmroth - Proceedings of the 3rd …, 2012 - dl.acm.org
Elasticity is the ability of a cloud infrastructure to dynamically change the amount of
resources allocated to a running service as load changes. We build an autonomous …

Parallel particle swarm optimization clustering algorithm based on mapreduce methodology

I Aljarah, SA Ludwig - 2012 fourth world congress on nature …, 2012 - ieeexplore.ieee.org
Large scale data sets are difficult to manage. Difficulties include capture, storage, search,
analysis, and visualization of large data. In particular, clustering of large scale data has …

Leveraging big data tools and technologies: addressing the challenges of the water quality sector

JM Ponce Romero, SH Hallett, S Jude - Sustainability, 2017 - mdpi.com
The water utility sector is subject to stringent legislation, seeking to address both the
evolution of practices within the chemical/pharmaceutical industry, and the safeguarding of …