Feb 292016
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Within the last years, cloud computing has become more and more important for industry as well as for the private sector. But what exactly is cloud computing and where could it lead our future IT progress?

Firstly, the term itself refers to the nowadays common practise to “outsource IT activities to one or more third parties that have rich pools of resources to meet organization needs easily and efficiently” [1, 2]. In other words, one buys the permission to use hardware, network connectivity, storage, and software that is located in a computing center anywhere in the world. It is more or less comparable to other known public utilities such as electricity, water and natural gas [1] and follows the same rule: You pay for what you need, not more.

The private sector is also more and more part of the system. Cloud memory saves personal data and makes it available from any place with an internet connection; file sharing websites are widely used and have gained a lot of popularity within the last years. Another kind of cloud computing is especially interesting for research – Branches with high computational needs, e.g. astrophysics, medicine, and large scale facilities like CERN, can save a lot of resources by outsourcing computational power to volunteers. While their PCs are idle, a program starts in the background and performs calculations for the project [3].

The current state of cloud computing is already very impressive, however there is one major goal the IT industry starts to tackle now, namely the so-called Internet of Things (IoT). An example is Near Field Communication (NFC), a set of hardware and software protocols to enable two devices to communicate wirelessly with each other [4]. It is already part of most modern smartphones and also widely used for contactless payment cards. More and more devices in our daily life will be included in this IoT, resulting in increased connectivity and data flow around us. The idea is to take the cloud and place it everywhere around us, basically creating a fog [5]. This now indeed called “fog-computing” could span a wide range of applications in daily life. From smart houses that adjust the temperature, to refrigerators that tell their user when they are getting empty. An even more spectacular application could be connected to the trend towards self-driving cars. Large IT companies already started to develop cars which do not need a driver any more [6]. What sounds like science fiction could become commonly available within the next decades and open the path to some great applications of fog-computing. How about a traffic light, which already counts the arriving cars and adjusts its phases according to the traffic volume or tries to prevent accidents by detecting obstacles and pedestrians much faster than any human would be able to? The possibilities are endless and incredible.

However, one also needs to consider possible disadvantages like data safety and the problem of the totally transparent citizen. Moreover, judiciary will require a lot of adjustments and new laws, especially when the computer hardware that processes cloud data is located in another country with different data protection laws. There are a lot of changes to be made, however so far technological progress was never stoppable. We will most likely be able to observe within the next 10 years some of the biggest changes in IT and connectivity since the invention of the internet itself.

– Kai Litzius

[1] Hassan, Qusay (2011). Demystifying Cloud Computing. The Journal of Defense Software Engineering (CrossTalk) 2011 (Jan/Feb): 16–21.
[2] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, M. Zaharia, “Above the Clouds: A Berkeley View of Cloud Computing”. University of California, Berkeley, Feb 2009.
[3] http://boinc.berkeley.edu/projects.php
[4] What is NFC? Everything you need to know.
[5] Bar-Magen Numhauser, Jonathan (2013). Fog Computing introduction to a New Cloud Evolution. Escrituras silenciadas: paisaje como historiografia. Spain: University of Alcala. pp. 111–126.
[6] Google Self-Driving Car Project Monthly Report – September 2015.

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