Automatic decision-making approaches, such as reinforcement learning (RL), have been
applied to (partially) solve the resource allocation problem adaptively in the cloud computing …

Cloud computing has become an attractive computing paradigm in both academia and
industry. Through virtualization technology, Cloud Service Providers (CSPs) that own data …

Ensuring energy efficiency in data centers is a crucial objective in modern cloud computing
because it reduces operating costs and complies with the goals of green computing …

A key issue for Cloud Computing data-centers is to maximize their profits by minimizing
power consumption and SLA violations of hosted applications. In this paper, we propose a …

Modern large scale computer clusters benefit significantly from elasticity. Elasticity allows a
cluster to dynamically allocate computer resources, based on the user's fluctuating workload …

Power consumption is one of the major concerns for the cloud providers. The issue of
disorganized power consumption can be categorized into two main groups: one caused by …

Energy awareness presents an immense challenge for cloud computing infrastructure and
the development of next generation data centers. Virtual Machine (VM) consolidation is one …

There are various significant issues in resource allocation, such as maximum computing
performance and green computing, which have attracted researchers' attention recently …

Power control is becoming a key challenge for effectively operating a modern data center. In
addition to reducing operation costs, precisely controlling power consumption is an essential …

Cloud computing systems (or hosting datacenters) have attracted a lot of attention in recent
years. Utility computing, reliable data storage, and infrastructure-independent computing are …