@article{MAKHILLAJIT201716116704,
    title = {Selective Switching Strategy using Optical Connectivity for Cloud Databases},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {11},
    pages = {789-793},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.789.793},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.789.793},
    author = {K.},
    keywords = {ROADM,Weibull method,crossbar topology,cross points,DRS,wavelength selective switching,passive star,ARB, load,erlangs,Markovian Model,bandwidth,RESS},
    abstract = {With increase in the quantum of data in organisations, new strategies have to be developed to handle
data in the cloud. Cloud computing is being used to store data virtually and access is being provided to users
based on their requirement. The choice of the cloud also depends on the nature of data. With cloud storage,
a large number of Disaster Recovery Sites (DRS) are being designed to handle database crashes. In this
condition, the communication between the production database and DRS sites has to be handled efficiently.
Optical connectivity is one promising solution to ensure reliable transmission. But again when data volumes
are high, new models have to be developed, so that, data loss is minimal. In this research, a probabilistic routing
model has been proposed using Weibull distribution. A routing topology based on multistage crossbar
topology has also been introduced by utilizing cross points. A cross point is being activated based on the
actual requirement. This model ensures optimal and reliable communication. The Reliability Effective Selective
Switching strategy (RESS) proposed in this research reduces the average request burst by 22%, compared to
the Reconfigurable Optical Add/Drop Multiplexer (ROADM) method currently available. The RESS technique
proposed reduces the communication cost by 27%, compared to the conventional ROADM technique.}
    }