Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …

Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …

In recent years, cloud computing has been widely used. Cloud computing refers to the
centralized computing resources, users through the access to the centralized resources to …

Cloud computing is an emerging paradigm that provides computing, communication and
storage resources as a service over a network. Communication resources often become a …

We study a bilevel economic system, which we refer to as a Markov exchange economy
(MEE), from the point of view of multi-agent reinforcement learning (MARL). An MEE …

Cloud resource provisioning is a challenging job that may be compromised due to
unavailability of the expected resources. Quality of Service (QoS) requirements of workloads …

In the rapidly expanding field of parallel processing, job schedulers are the “operating
systems” of modern big data architectures and supercomputing systems. Job schedulers …

Cloud computing continues to play a major role in transforming the IT industry by facilitating
elastic on-demand provisioning of computational resources including processors, storage …

Cloud computing has emerged as a popular computing model to process data and execute
computationally intensive applications in a pay-as-you-go manner. Due to the ever …

Existing GIS software mainly target at expert users and do not sufficiently integrate resources
for efficient computing. They are difficult for non-experts to use and are often slow in …