Server consolidation leverages hardware virtualization to reduce the operational cost of data centers through the intelligent placement of existing workloads. This work proposes a consolidation model which considers power, performance and reliability aspects simultaneously. There are two main innovative contributions in the model, focused on performance and reliability requirements. The first contribution is the possibility to guarantee average response time constraints for multi-tier workloads. The second contribution is the possibility to model active/active clusters of servers, with enough spare capacity on the fail-over servers to manage the load of the failed ones. At the heart of the proposal is a non-linear optimization model that h...
Efficient usage of IT equipment in Data Centers requires modulating their power-consumption accordin...
In the domain of enterprise applications, operational costs can be reduced by consolidating orthogon...
In this paper, we consider two critical issues in data cen-ters: load balancing and server consolida...
Server consolidation leverages hardware virtualization to reduce the operational cost of data center...
Server consolidation using virtualization technologies allow large-scale datacenters to improve reso...
One of the most crucial task during the design of a computing infrastructure is the decision about t...
Abstract—Server consolidation using virtualization technolo-gies allow cloud-scale datacenters to im...
The users of actual computing infrastructures allowing the resource provision (such as clouds) are o...
Improving energy efficiency of data centers has become increasingly important nowadays due to the si...
Abstract—Improving energy efficiency of data centers has become increasingly important nowadays due ...
Cloud computing has become an essential part of the global digital economy due to its extensibility,...
In enterprise application environments, hardware resources show averagely low utilization rates due ...
Cloud computing and virtualization are enabling technologies for designing energy-aware resource man...
Virtualization-based server consolidation has been proven to be an ideal technique to solve the serv...
The consolidation of resources is one of the most efficient strategies to reduce the power consumpti...
Efficient usage of IT equipment in Data Centers requires modulating their power-consumption accordin...
In the domain of enterprise applications, operational costs can be reduced by consolidating orthogon...
In this paper, we consider two critical issues in data cen-ters: load balancing and server consolida...
Server consolidation leverages hardware virtualization to reduce the operational cost of data center...
Server consolidation using virtualization technologies allow large-scale datacenters to improve reso...
One of the most crucial task during the design of a computing infrastructure is the decision about t...
Abstract—Server consolidation using virtualization technolo-gies allow cloud-scale datacenters to im...
The users of actual computing infrastructures allowing the resource provision (such as clouds) are o...
Improving energy efficiency of data centers has become increasingly important nowadays due to the si...
Abstract—Improving energy efficiency of data centers has become increasingly important nowadays due ...
Cloud computing has become an essential part of the global digital economy due to its extensibility,...
In enterprise application environments, hardware resources show averagely low utilization rates due ...
Cloud computing and virtualization are enabling technologies for designing energy-aware resource man...
Virtualization-based server consolidation has been proven to be an ideal technique to solve the serv...
The consolidation of resources is one of the most efficient strategies to reduce the power consumpti...
Efficient usage of IT equipment in Data Centers requires modulating their power-consumption accordin...
In the domain of enterprise applications, operational costs can be reduced by consolidating orthogon...
In this paper, we consider two critical issues in data cen-ters: load balancing and server consolida...