• DocumentCode
    3530155
  • Title

    Polar Data Management Based on Cloud Technology

  • Author

    Mossucca, Lorenzo ; Romano, Vincenzo ; Terzo, Olivier ; Ruiu, Pietro ; Spogli, Luca ; Salvati, Alberto ; Rafanelli, Claudio

  • Author_Institution
    Ist. Superiore Mario Boella, Turin, Italy
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    IDIPOS, that stands for Italian Database Infrastructure for Polar Observation Sciences, has been conceived to realize a feasibility study on infrastructure devoted to management of data coming from Polar areas. This framework adopted a modular approach identifying two main parts: the first one defines main components of infrastructure, and, the latter selects possible cloud solutions to manage and organize these components. The main purpose is the creation of a scalable and flexible infrastructure for the exchange of scientific data from various application fields. The envisaged infrastructure is based on the cutting-edge technology of the Community Cloud Infrastructure for an aggregation and federation of resources, to optimize the use of hardware. The infrastructure is composed of: a central node, several nodes distributed in Italy, interconnection between other systems realized in Polar areas. This paper aims to investigate cloud solution, and explore the key factors which may influence cloud adoption in the project such as scalability, flexibility and expandability. In particular, main cloud aspects addressed are related to data storage, data management, data analysis, infrastructure federation following recommendations from the Cloud Expert Group to allow sharing information in scientific communities.
  • Keywords
    cloud computing; data analysis; database management systems; open systems; scientific information systems; Cloud Expert Group; IDIPOS; Italian Database Infrastructure for Polar Observation Sciences; central node; cloud technology; community cloud infrastructure; cutting-edge technology; data analysis; data management; data storage; expandability; flexibility; information sharing; infrastructure federation; modular approach; polar data management; resource aggregation; resource federation; scalability; scientific communities; scientific data exchange; Cloud computing; Clouds; Communities; Computer architecture; Interoperability; Organizations; Servers; Cloud computing; IDIPOS; Polar Observation Sciences; data management; e-science; interoperability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.67
  • Filename
    7185231