@inproceedings{scholars4197,
            note = {cited By 1; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912},
            year = {2014},
             doi = {10.1109/ICCOINS.2014.6868834},
         journal = {2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {Association among independent and dependent factors of host in volunteer computing},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938815065&doi=10.1109\%2fICCOINS.2014.6868834&partnerID=40&md5=44132d528ff82ea85a13cfc319cd922e},
        keywords = {Distributed database systems; Fault tolerance; Fault tolerant computer systems, Characterization factors; CPU availability; Dependent factors; Distributed systems; Host's factors; Scientific projects; Volatile behaviors; Volunteer computing, Distributed computer systems},
        abstract = {These days, many scientific projects such as: SETI@home and Distributed.net are using computers which are connected to internet from the entire world in order to run their jobs. This large distributed system is a Volunteer Computing (VC) that includes volunteer hosts. An important attribute of volunteer hosts is the volatile behavior that means often they are not available because of the autonomy nature of owners. The volatile behavior of hosts is significant and effective issue on fault tolerance of the system. Therefore, characterization factors of volatile hosts have influence on reliability of jobs schedulers and improve fault tolerance of the VC system. This paper considered on characterization host's factors in concept of association between dependent and independent factors of hosts. We assumed that CPU interval availability and frequency number of CPU availability are dependent factors, also time zone, location, RAM size and numbers of processors are independent factors. In other words, the main hypothesis is that there is an association between dependent and independent factors. To proof this hypothesis, we used real trace data of volunteers which are taken from SETI@home project. We found that time zone and location have dependency, also processor's number have correlation with CPU interval availability while frequency number of CPU availability has correlation with RAM size. {\^A}{\copyright} 2014 IEEE.},
          author = {Peyvandi, S. and Ahmad, R. and Zakaria, M. N.},
            isbn = {9781479943913}
}