The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …

Containers are lightweight and provide the potential to reduce more energy consumption of
data centers than Virtual Machines (VMs) in container-based clouds. On-line resource …

Improving energy efficiency and lowering operational costs are the main challenges faced in
systems with multiple servers. One prevalent objective in such systems is to minimize the …

Serverless computing has emerged as a new cloud computing execution model that
liberates users and application developers from explicitly managingphysical'resources …

This paper aims to achieve a better Quality of Service (QoS) through Modified Task
Consolidation (MTC) approach. The proposed MTC approach defines virtual machines …

An observation scheduling for Gaofen-12 (OSFGF-12), a state-of-the-art earth observation
satellite installed a novel synthetic aperture radar, is investigated in this paper. Considering …

We consider two neighboring generalizations of the classical bin packing problem: the
temporal bin packing problem (TBPP) and the temporal bin packing problem with fire-ups …

Warehouses are key elements of supply chain networks, and great attention is paid to
increase their efficiency. Highly volatile space requirements are enablers of innovative …

Data-parallel computing platforms, such as Hadoop and Spark, are deployed in computing
clusters for big data analytics. There is a general tendency that multiple users share the …