Control Theory

FCMS: A fuzzy controller for CPU and memory consolidation under SLA constraints

Summary Cloud providers (CPs) rely on server consolidation (the allocation of several virtual machines [VMs] on the same physical server) to minimize their costs. Maximizing the consolidation level is thus become 1 of the major goals of cloud …

FC2Q: exploiting fuzzy control in server consolidation for cloud applications with SLA constraints

Modern cloud data centers rely on server consolidation (the allocation of several virtual machines on the same physical host) to minimize their costs. Choosing the right consolidation level (how many and which virtual machines are assigned to a …

Fuzzy-Q&E: Achieving QoS Guarantees and Energy Savings for Cloud Applications with Fuzzy Control

We address the problem of managing cloud applications, consisting of a set of virtual machines (VMs), characterized by bursty and dynamic workloads, in such a way to provide guarantees on their Quality-of-Services (QoS) and, at the same time, to …

Power and Performance Management in Cloud Computing Systems

Cloud computing is an emerging computing paradigm which is gaining popularity in IT industry for its appealing property of considering ``Everything as a Service''. The goal of a cloud infrastructure provider is to maximize its profit by minimizing …

Exploiting VM Migration for the Automated Power and Performance Management of Green Cloud Computing Systems

Cloud computing is an emerging computing paradigm in which ``Everything is as a Service'', including the provision of virtualized computing infrastructures (known as Infrastructure-as-a-Service modality) hosted on the physical infrastructure, owned …

Energy-Efficient Resource Management for Cloud Computing Infrastructures

Cloud computing is growing in popularity among computing paradigms for its appealing property of considering "Everything as a Service". The goal of a Cloud infrastructure provider is to maximize its profit by minimizing the amount of violations of …