Distributed Computing Dropbox

Question: What extent do the fallacies of networked computing impact on the use of a service such as Dropbox? Answer: In case of distributed computing, several computers or servers are hosted in different remote places. However, files are distributes among the cluster of servers maintaining some protocol which maintains some distribution. When we deal with drop box, generally all deleted files as well as previous versions of files are saved for 30 days. Nevertheless, if extended version history could update, one can recover any previous version of files within a year. But, unlimited storage and infinite bandwidth will be fallacy to this cloud structure (Lanois, 2010). Considering on the facts, the topnotch fallacy can be as if it will be everywhere like in all the places like desktop, watch, laptop, mobile connected all the time of a person. Case studies: Apple tried it using iTunes and i-Pad, but failed due to low user reception. If a technologist asked about the storage of cloud space, he might chuckle and answers like that The location of the cloud is irrelevant (Alamri et al., 2010). This answer is technically accurate or proper, but also misses a important set of issues. The main thesis about cloud computing states that information and computational resources is centralized. So, one can think that cloud in cloud computing is abstract or un-located space. However, there are server and data centers where data is stored. Google alone is hosting thousand of machines as its cloud storage. It is difficult to find where a particular data stored is stored but those distributed servers or data centers can be located as it follows centralization concept. So it cannot be considered as a ninth fallacy. References: Lanois, P. (2010). Caught in the clouds: The Web 2.0, cloud computing, and privacy. Nw. J. Tech. and Intell. Prop., 9, 29. Alamri, A., Ansari, W. S., Hassan, M. M., Hossain, M. S., Alelaiwi, A., and Hossain, M. A. (2013). A survey on sensor-cloud: architecture, applications, and approaches. International Journal of Distributed Sensor Networks, 2013.