Towards resilient synchronous e-training platforms (bibtex)
by Juan Carlos Granda, Pelayo Nuño, Daniel Fernando García and Francisco José Suárez
Abstract:
Synchronous e-training is emerging as an alternative for developing human resources training plans in large organizations. However, synchronous e-training platforms must face many issues affecting their resilience. Self-recovering and self-protection software techniques should be implemented to enable the continuity of e-training activities faced with network failures or entities of the platform going down. In this paper, the resilience issues in synchronous e-training are identified, and those presented in a real e-training platform are analyzed. The platform includes a self-optimizing technique to make efficient use of network resources as participants join and leave. Furthermore, various self-recovering and a self-protection techniques are proposed, making possible the continuity of ongoing e-training activities with reduced functionality until the automatic full system recovery. Most of the proposed techniques are applicable to other real-time communication systems, since the e-training platform is built using standard technologies such as SIP and RTP, commonly used in voice over IP systems. 2011 IEEE.
Reference:
Towards resilient synchronous e-training platforms (Juan Carlos Granda, Pelayo Nuño, Daniel Fernando García and Francisco José Suárez), In Proceedings of the 10th IEEE International Symposium on Network Computing and Applications (NCA), 2011.
Bibtex Entry:
@InProceedings{granda2011nca,
  author      = {Juan Carlos Granda and Pelayo Nuño and Daniel Fernando García and Francisco José Suárez},
  title       = {Towards resilient synchronous e-training platforms},
  booktitle   = {Proceedings of the 10\textsuperscript{th} {IEEE} International Symposium on Network Computing and Applications (NCA)},
  pages       = {251--256},
  abstract    = {Synchronous e-training is emerging as an alternative for developing human resources training plans in large organizations. However, synchronous e-training platforms must face many issues affecting their resilience. Self-recovering and self-protection software techniques should be implemented to enable the continuity of e-training activities faced with network failures or entities of the platform going down. In this paper, the resilience issues in synchronous e-training are identified, and those presented in a real e-training platform are analyzed. The platform includes a self-optimizing technique to make efficient use of network resources as participants join and leave. Furthermore, various self-recovering and a self-protection techniques are proposed, making possible the continuity of ongoing e-training activities with reduced functionality until the automatic full system recovery. Most of the proposed techniques are applicable to other real-time communication systems, since the e-training platform is built using standard technologies such as {SIP} and {RTP}, commonly used in voice over {IP} systems. 2011 {IEEE}.},
  author+an   = {1=highlight},
  date        = {2011},
  year        = {2011},
  doi         = {10.1109/NCA.2011.42},
  editora     = {{Technical Committee on Distributed Processing; IEEE Computer Society; Akamai; Irianc}},
  editoratype = {collaborator},
  isbn        = {978-0-7695-4489-2},
  keywords    = {Communication systems, E-training, Internet telephony, Large organizations, Network failure, Network resource, Real-time communication system, Real time systems, Recovery, Self-optimizing, Self-protection techniques, Software techniques, Standard technology, System recovery, Training plan, Voice/data communication systems, Voice over {IP}},
  url         = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054989267&doi=10.1109%2fNCA.2011.42&partnerID=40&md5=8cc42351fa5bbe9c873e4f075b8cd336},
  urldate     = {2011-08-25},
  type        = {research},
  address    = {Cambridge, Massachusetts, Estados Unidos},
  eventdate  = {2011-08-25/2011-08-27},
  calidad    = {Congreso de tipo A en el CORE {\itshape Conference Ranking}},
  comunicacion = {Oral},
}
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