Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …

Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …

The limitations of current state-of-the-art methods for single-view depth estimation and
semantic segmentations are closely tied to the property of perspective geometry, that the …

Nowadays data-intensive applications for processing big data are being hosted in the cloud.
Since the cloud environment provides virtualized resources for computation, and data …

Cloud users require a set of specific computing needs for their applications, while cloud
providers offer a variety of computing products and services on the Internet. These two cloud …

Business intelligence (BI) helps managers make informed decisions. In the age of big data,
BI technology provides essential support for decision making. Cloud computing also attracts …

MapReduce is by far one of the most successful realizations of large-scale data-intensive
cloud computing platforms. When to start the reduce tasks is one of the key problems to …

Recently, hybrid cloud computing paradigm has be widely advocated as a promising
solution for Software-as-a-Service (SaaS) providers to effectively handle the dynamic user …

Previous resource provisioning strategies in cloud datacenters allocate physical resources
to virtual machines (VMs) based on the predicted resource utilization pattern of VMs. The …

In cloud computing, software which does not flexibly adapt to deployment decisions either
wastes operational resources or requires reengineering, both of which may significantly …