This chapter gives a summary of the state-of-the-art approaches from different research
fields that can be applied to continuously forecast future developments of time series data …

The energy consumption of Cloud–Edge systems is becoming a critical concern
economically, environmentally, and societally; some studies suggest data centers and …

In this paper, we investigate and present how to generate application traces of IoT (Internet
of Things) Applications in an automated, repeatable and reproducible manner. By using the …

Data management and storage are becoming challenging nowadays due to the huge
amount of created, processed, and stored data. The growing gap between power processing …

Advancements in virtualization technology have led to better utilization of existing
infrastructure. It allows numerous virtual machines with different workloads to coexist on the …

Capacity planning via resource monitoring in data centers (DCs) is a challenge. The
computing resource usage pattern changes over the time which makes its management a …

Cloud price modeling is the major challenge facing many cloud computing practitioners and
researchers in the field of cloud economics, which is also known as “Cloudonomics.” …

Task replication has been advocated as a practical solution to reduce response times in
parallel systems. The analysis of replication-based systems typically rests on some strong …

Modern Cloud computing systems are massive in scale, featuring environments that can
execute highly dynamic Internetware applications with huge numbers of interacting tasks …

The workload in large-scale data repositories involves concurrent users and contains
homogenous and heterogeneous data. The large volume of data, dynamic behavior and …