Edge detection is a boundary‐based segmentation method to extract important information
from an image, and it is a research hotspot in the fields of computer vision and image …

In the current decade, doing the search on massive data to find “hidden” and valuable
information within it is growing. This search can result in heavy processing on considerable …

Electronic Health Records (EHRs) provide possibilities to improve patient care and facilitate
clinical research. However, there are many challenges faced by the applications of EHRs …

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 …

Cloud computing has been a cost-efficient paradigm for deploying various applications in
datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) …

Large-scale datacenters are the key infrastructures of cloud computing. Inside a datacenter,
a large number of servers are interconnected using a specific datacenter network to deliver …

Multicast is designed to jointly deliver content from a single source to a set of destinations. It
can efficiently save the bandwidth consumption and reduce the load on the source. The …

Many data-intensive applications like MapReduce are network-bound in data centers, due to
transfer massive amount of flows across successive processing stages. Data flows in such …

Cyber-physical systems (CPS) have been growing exponentially due to improved
clouddatacenter infrastructure-as-a-service (CDIaaS). Incremental expandability …

Recently, machine learning has become popular in various fields like healthcare, smart
transportation, network, and big data. However, the labelled training dataset, which is one of …