سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۶

نویسنده(ها):

Mohammad Abedi – Department of Electrical Engineering and Computer Science at Iran University of Science and Technology
Mehdi Darbandi –

چکیده:

Cloud computing is fast creating a revolution in the way information technology is used and procured by organizations and by individuals. Although the definition ofCloud is still ―cloudy‖ but we can tell that perhaps the simplest working definition of cloud computing is being able to accessfiles, data, programs and 3rd party services from a web browser via the internet that are hosted by a 3rd party provider and paying only for the computing resources andservices used [2]. This technology presents lots of abilities and opportunities such as processing power, storage and accessingit from everywhere, supporting, working – team group – with the latest versions of software and etc., by the means of internet. Cloud computing is reliable services that presenting by next generation data centers and from internet, they based on virtual technologies and computing methods [4]. In recentdecades the internet has very deep influences in human lives and also in offer and demand markets; lots of people for trading, reading the news, seeing the movies or to play online games go through the internet. As our daily needs from the internet became more, so that the processing power andamount of storage data and files should increase significantly [8]. With remarkable developments of communication andinformation technology in recent days, we consider processing and processing power as the fifth vital component in humanlives (after water, electricity, gas and telephone) [9]. Thesedays’ lots of technologies migrate from traditional systems into cloud and similar technologies; also we should note that cloudcan be used for military and civilian purposes [3]. On the other hand, in such a large scale networks we should consider thereliability and powerfulness of such networks in facing with events such as high amount of users that may login to theirprofiles simultaneously, or for example if we have the ability topredict about what times that we would have the most crowd in network, or even users prefer to use which part of the Cloud Computing more than other parts – which software or hardware configuration. With knowing such information, wecan avoid accidental crashing or hanging of the network that may be cause by logging of too much users. In this paper we propose Kalman Filter that can be used for estimating the amounts of users and software’s that run on cloud computing or other similar platforms at a certain time. After introducingthis filter, at the end of paper, we talk about some potentials of this filter in cloud computing platform. In this paper wedemonstrate about how we can use Kalman filter in estimating and predicting of our target, by the means of several examples on Kalman filter. Also at the end of paper we propose information filter for estimation and prediction about cloud computing resources.