The implementation of energy-efficient technologies based on an innovative bio-inspired probabilistic algorithm allows energy, cost and carbon emission reductions of up to 60%, as well as highly improved monitoring, capacity planning, orchestration optimization, risk monitoring/mitigation.
Eco4Cloud – a spin-off from the University of Calabria and Institute for High Performance Computing and Networking of Italy’s National Research Council (CNR) – has researched/developed/engineered an innovative and very effective solution to optimize the consolidation of virtual machines and cut up to 60% (!) the energy bill of highly virtualized/large scale data centers.
E4C product is a Virtualization Infrastructure Management commercial software which is installed and run within virtualized data centers.
It is based on an innovative bio-inspired probabilistic algorithm which consolidates the maximum number of virtual machines on the minimum number of physical servers in a data center, enabling the switch off/hibernation of those freed-up, making them dynamically available as additional capacity for incremental workloads.
This whitepaper on ‘Energy Saving in DCs through Workload Consolidation’ recently co authored with 4 top-notch European excellence centers such as the Institute for High Performance Computing and Networking of the Italian National Research Council, the Department of Electronics and Telecommunications at Politecnico di Torino, eERG – Energy Department at Politecnico di Milano and PrimeEnergyIT/EfficientDataCenters frames the whole topic and provides an overview of E4C’s state-of-the-art approach.
The value proposition is compelling and crucially relevant for both business as well as technical audiences, and goes far beyond energy saving alone: monitoring, capacity planning, orchestration optimization, risk monitoring/mitigation.
Download the Eco4Cloud company presentation, showing Eco4Cloud’s vision on virtualized data Centers, Eco4Cloud’s reference market, technology, and E4C story so far.