New Classes of Applications in the Cloud. Evaluating Advantages and Disadvantages of Cloud Computing for Telemetry Applications

Nowadays companies are moving some parts of their businesses to the cloud. Industry predictions are that this trend will continue to grow and develop even further in the coming few years. While Cloud computing is undoubtedly beneficial for mid-size to large companies, it is not without its downsides, especially for smaller businesses. This paper's aim is to deliver an analysis based on advantages and disadvantages of Cloud computing technology, in order to help organizations fully understand and adopt this new computing technology. Finally, to prove the advantages that Cloud technology can have for this domain, we are presenting a cloud application for telemetry, with a focus on monitoring hydro-energy. We consider that the way to attain the benefits of Cloud technology is to understand its strengths and weaknesses and adapt to them accordingly.

[1]  Manole Velicanu,et al.  Perspectives on Big Data and Big Data Analytics , 2012 .

[2]  Zhong Bocheng,et al.  Design of Building Energy Monitoring and Management System , 2012, 2012 Second International Conference on Business Computing and Global Informatization.

[3]  S. Halunga,et al.  A solution for implementing resilience in open source Cloud platforms , 2012, 2012 9th International Conference on Communications (COMM).

[4]  G. Feuerlicht,et al.  Cloud Computing Adoption : A comparative study , 2012 .

[5]  Marc Jansen.  What does it service management look like in the: an ITIL based approach , 2011 .

[6]  Christophe Cérin,et al.  SlapOS: A Multi-Purpose Distributed Cloud Operating System Based on an ERP Billing Model , 2011, 2011 IEEE International Conference on Services Computing.

[7]  Cláudio Alves,et al.  Efficient lower bounding procedures with application in the allocation of virtual machines to data centers , 2011 .

[8]  Mohamed Jemni,et al.  Controlling processing usage at user level: a way to make resource sharing more flexible , 2010 .

[9]  Mohamed Jemni,et al.  A decentralized and fault‐tolerant Desktop Grid system for distributed applications , 2010, Concurr. Comput. Pract. Exp..

[10]  Esmail Fathi Loshani,et al.  An optimum solution for telemetry of distributed wells in South of Tehran , 2009 .

[11]  Alexander S. Szalay,et al.  Accelerating large-scale data exploration through data diffusion , 2008, DADC '08.

[12]  Constantinos Evangelinos,et al.  Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere- , 2008 .

[13]  C. Nomicos,et al.  Evaluation of Rain Rate Measurement Methods , Sensors and Systems , 2005 .

[14]  Alexander Pretschner,et al.  Methodological Issues in Model-Based Testing , 2004, Model-Based Testing of Reactive Systems.

[15]  Steven Tuecke,et al.  The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration , 2002 .

[16]  Itu-T.  Specification and Description Language (SDL) , 1999 .

[17]  James D. Hamilton.  Time Series Analysis , 1994 .

[18]  Jan Madey,et al.  The Z notation: A reference manual , 1990 .

[19]  J. Michael Spivey,et al.  The Z notation - a reference manual , 1992, Prentice Hall International Series in Computer Science.