
6 Conclusion
In this article, we have developed a cloud-based
application that cold counts, tracks, and monitors an
academic reviewing system process. Specifically,
the results of our study for a set of random
generated data parsed from internet bots (web
crawlers) were promising, which is why we propose
expanding this application to real word case
scenarios. This means that it could be used as a
submission system for a medium to small-size
international conference submission system.
Furthermore, as evident from our benchmarks, this
application can be implemented in Raspberry Pi
computers i.e. into several portable low-power and
low-cost computing devices capable of supporting
our system without a “single point of failure”. This
occurs as all available computers can act both as a
server and a client, thus providing the necessary
information and statuses to the blockchain.
As for future works, our system’s architecture
should be expanded to a multithread application
which would substantially increase the hash
generation uptimes for all the available devices in
our computer network. Moreover, we are planning
to open-source our APIs for other online submission
systems to be able to obtain information on our DB
of reviews. Last, since most of the existing
submission systems are written in PHP and not Java,
we plan on expanding our APIs implementation and
packages to other computer programming
languages.
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WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2022.19.51
Alexandros Gazis, Giorgos Anagnostakis,
Stavros Kourmpetis, Eleftheria Katsiri