At present, big data is very popular, because it has proved to be much successful in many
fields such as social media, E-commerce transactions, etc. Big data describes the tools and …

This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

When facing massive statistical data, the k‐means algorithm is very difficult to satisfy the
need of data processing as it lacks an effective parallel mechanism. This paper proposes an …

Processing Big Data in cloud is on the increase. An important issue for efficient execution of
Big Data processing jobs on a cloud platform is selecting the best fitting virtual machine (VM) …

In order to solve the problems of low execution efficiency, big data error in risk analysis and
high resource consumption in risk management of commodity trade business, this paper …

Solid-state disks (SSDs) are now being used as enterprise storage servers owing to their
technical merits such as low power consumption, shock resistance, and excellent random …

[ADF+17] S. Agreste, P. De Meo, G. Fiumara, G. Piccione, S. Piccolo, D. Rosaci, GML Sarné,
and AV Vasilakos. An empirical comparison of algorithms to find communities in directed …

Many sources of data yield non-structured data like the Internet of things (IoT), geospatial
data, E-commerce, social media, and scientific research that is not appropriate in to …

Unstructured data is the largest source of big data which is continuously increasing in
Velocity, Volume and Variety. Hadoop MapReduce has gained popularity for processing …

Weather forecasting has proven valuable in unravelling the causes of the occurrence of
natural phenomena and predicting of future climatic conditions. Subsequently, better …