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Fernando Fraticelli Phones & Addresses

  • Toms River, NJ
  • Cranbury, NJ
  • Parlin, NJ
  • Long Branch, NJ
  • 1017 Gregory Ter, Toms River, NJ 08753 (732) 505-5331

Work

Company: Ncc group Jan 2016 to Aug 2018 Position: Associate security consultant

Education

School / High School: Ocean County College 2014 to 2016 Specialities: Computer Science

Skills

Cad/Cam • Computer Programming • Music • Sound Engineering • Video Production • Video Game Production • Leather Working

Languages

English • German

Interests

Social Services • Children • Civil Rights and Social Action • Education • Environment • Science and Technology • Disaster and Humanitarian Relief • Human Rights • Animal Welfare • Arts and Culture • Health

Emails

Industries

Computer Software

Resumes

Resumes

Fernando Fraticelli Photo 1

Fernando Fraticelli

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Location:
P/O Box 554, Tallman, NY
Industry:
Computer Software
Work:
Ncc Group Jan 2016 - Aug 2018
Associate Security Consultant

Ocean Salon Systems Aug 2014 - Jan 2015
Shipping Associate
Education:
Ocean County College 2014 - 2016
Stevens Institute of Technology 2013 - 2014
Toms River High School North 2009 - 2013
Skills:
Cad/Cam
Computer Programming
Music
Sound Engineering
Video Production
Video Game Production
Leather Working
Interests:
Social Services
Children
Civil Rights and Social Action
Education
Environment
Science and Technology
Disaster and Humanitarian Relief
Human Rights
Animal Welfare
Arts and Culture
Health
Languages:
English
German

Publications

Us Patents

Automated Workload Placement Recommendations For A Data Center

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US Patent:
8392928, Mar 5, 2013
Filed:
Oct 28, 2008
Appl. No.:
12/259837
Inventors:
Jeffrey E. Forys - Cranbury NJ, US
Latha Srinivasan - Glen Mills PA, US
Jerome Rolia - Kanata, CA
Fernando Fraticelli - Toms River NJ, US
Philip A. Vitale I - Freehold NJ, US
Assignee:
Hewlett-Packard Development Company, L.P. - Houston TX
International Classification:
G06F 9/46
US Classification:
718104, 718105
Abstract:
Automatically recommending workload placement in a data center. Historical data and workload constraints of a plurality of workloads are received. A plurality of resources of the data center available for placement of the plurality of workloads is identified. Resource constraints of the plurality of resources are received. Headroom ratings are assigned to the plurality of workloads based on the historical data, the workload constraints and the resource constraints. A consolidation recommendation of the plurality of workloads on the plurality of the resources in said the center is automatically generated based on an analysis of the historical data, the plurality of workloads, the plurality of available resources in the data center and the headroom ratings.
Fernando G Fraticelli from Toms River, NJ, age ~61 Get Report