Title : 
Image Distribution Mechanisms in Large Scale Cloud Providers
         
        
            Author : 
Wartel, Romain ; Cass, Tony ; Moreira, Belmiro ; Roche, Ewan ; Guijarro, Manuel ; Goasguen, Sebastien ; Schwickerath, Ulrich
         
        
            Author_Institution : 
Eur. Organ. for Nucl. Res. (CERN), Geneva, Switzerland
         
        
        
            fDate : 
Nov. 30 2010-Dec. 3 2010
         
        
        
        
            Abstract : 
This paper presents the various mechanisms for virtual machine image distribution within a large batch farm and between sites that offer cloud computing services. The work is presented within the context of the Large Hadron Collider Computing Grid (LCG), it has two main goals. First it aims at presenting the CERN specific mechanisms that have been put in place to test the pre-staging of virtual machine images within a large cloud infrastructure of several hundred physical hosts. Second it introduces the basis of a policy for trusting and distributing virtual machine images between sites of the LCG. Finally experimental results are shown for the distribution of a 10 GB virtual machine image distributed to over 400 physical nodes using a binary tree and a Bit Torrent algorithm. Results show that images can be pre-staged within 30 minutes.
         
        
            Keywords : 
cloud computing; grid computing; image processing; peer-to-peer computing; protocols; virtual machines; binary tree; bittorrent algorithm; cloud computing; image distribution; large hadron collider computing grid; trust; virtual machine; Bandwidth; Cloud computing; Indexes; Security; Servers; Virtual machine monitors; Virtual machining; bittorrent; cloud; grid; image; trust; virtualization;
         
        
        
        
            Conference_Titel : 
Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
         
        
            Conference_Location : 
Indianapolis, IN
         
        
            Print_ISBN : 
978-1-4244-9405-7
         
        
            Electronic_ISBN : 
978-0-7695-4302-4
         
        
        
            DOI : 
10.1109/CloudCom.2010.73