Cloud workloads today are typically managed in a distributed environment and processed
across geographically distributed data centers. Cloud service providers have been …

The advent of big data analytics and cloud computing technologies has resulted in wide-
spread research on the data placement problem. Since data-intensive services require …

The advent of (big) data management applications operating at Cloud scale has led to
extensive research on the data placement problem. The key objective of data placement is …

Massive data transmission between distributed data centers is the major efficiency
bottleneck of geospatial workflow. Although many data placement methods have been …

The increased reliance of data management applications on cloud computing technologies
has rendered research in identifying solutions to the data placement problem to be of …

Abstract The advent of Online Social Networks (OSNs) and the Internet-of-Things (IoT) has
catalyzed an unprecedented surge in data generation at smart device endpoints. This …

The distribution of application workloads across data centers and multiple cloud
environments stands as a transformative strategy in modern IT landscape. While challenges …

Abstract Nowadays the Cloud Computing model is the most widely used paradigm to
support the operation of large scale distributed systems. However, this model has its own …