Multi-resource workload consolidation in cloud data centers (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Multi-resource workload consolidation in cloud data centers (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/UCC.2013.61 (literal)

Alternative label

• Mastroianni, Carlo; Meo, Michela; Papuzzo, Giuseppe (2013)
  Multi-resource workload consolidation in cloud data centers
  in IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013, Dresden, Germany, December 2013
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Mastroianni, Carlo; Meo, Michela; Papuzzo, Giuseppe (literal)

Pagina inizio

• 297 (literal)

Pagina fine

• 298 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84901649982&origin=inward (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR-CNR; Politecnico di Torino; ICAR-CNR (literal)

Titolo

• Multi-resource workload consolidation in cloud data centers (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9780769551524 (literal)

Abstract

• Consolidation of Virtual Machines (VMs) on the minimum number of physical servers has been recognized as a very efficient approach to increase the efficiency of virtualized data centers and save energy, as consolidation allows unloaded servers to be switched off or used to accommodate more load. The problem is so complex that centralized and deterministic solutions are useless in large data centers with hundreds or thousands of servers. This paper presents a self-organizing approach for the consolidation of VMs on two resources, CPU and RAM. Decisions on the assignment and migration of VMs are driven by probabilistic processes and are based on local information, which makes the solution simple to implement and scalable. Experiments on a real data center show that the approach rapidly consolidates the workload, and CPU-bound and RAM-bound VMs are balanced, so that both resources are exploited efficiently. © 2013 IEEE. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• CARLO MASTROIANNI (Unità di personale interno)
• GIUSEPPE PAPUZZO (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• CARLO MASTROIANNI (Unità di personale interno)
• GIUSEPPE PAPUZZO (Persona)