Fuzzy Logic Load Balancing for Cloud Architecture Network - A Simulation Test

This article presents the algorithm of resource usage optimization for highly complex computer system architectures, such as Cloud Computing solutions. The main problem of such solutions is predicting the resources usage for allocating and dismissal. The proposed algorithm, based on OFN, allows to recognize the trend in the processed requests by the servers. In effect, the CC solutions allow to add resources dynamically, according to the amount of connections, and manage them in real time. This article proposes a fuzzy logic load balancing method for highly complex system architecture, which makes possible to use the resources in more efficient way. Description of the proposed algorithm is followed by simulation test results.

[1]  Jacek Czerniak Evolutionary Approach to Data Discretization for Rough Sets Theory , 2009, Fundam. Informaticae.

[2]  Tibor Vince,et al.  Multi Path Transmission Control Protocols as a security solution , 2015, 2015 IEEE 13th International Scientific Conference on Informatics.

[3]  Michal Choras,et al.  Cyber Security of the Application Layer of Mission Critical Industrial Systems , 2016, CISIM.

[4]  Jacek Czerniak,et al.  NEW QoS CONCEPT for Protecting Network Resources , 2016, IP&C.

[5]  Jacek Czerniak,et al.  Proposed CAEva Simulation Method for Evacuation of People from a Buildings on Fire , 2015, IWIFSGN@FQAS.

[6]  Paul Watson,et al.  The case for dynamic security solutions in public cloud workflow deployments , 2011, 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks Workshops (DSN-W).

[7]  Jacek Czerniak,et al.  A Proposal of the New owlANT Method for Determining the Distance between Terms in Ontology , 2014, IEEE Conf. on Intelligent Systems.

[8]  Łukasz Apiecionek,et al.  Optimization of Fuel Consumption in Firefighting Water Capsule Flights of a Helicopter , 2016 .

[9]  Jacek Czerniak,et al.  Protection Tool for Distributed Denial of Services Attack , 2014, BDAS.

[10]  Jacek Czerniak,et al.  Representation of a trend in OFN during fuzzy observance of the water level from the Crisis control center , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

[11]  Jacek Czerniak,et al.  Quality of Services Method as a DDoS Protection Tool , 2014, IEEE Conf. on Intelligent Systems.

[12]  Piotr Prokopowicz,et al.  Defuzzification Functionals of Ordered Fuzzy Numbers , 2013, IEEE Transactions on Fuzzy Systems.

[13]  Marek Macko,et al.  Approach to the Monitoring of Energy Consumption in Eco-grinder Based on ABC Optimization , 2015, BDAS.

[14]  Jacek Czerniak,et al.  Artificial Acari Optimization as a new strategy for global optimization of multimodal functions , 2017, J. Comput. Sci..

[15]  Marcin Wozniak,et al.  QoS Mechanism for Low Speed Radio Networks - Case Study , 2016, IP&C.

[16]  Józef Flizikowski,et al.  CAD/CAE Applications in Mill’s Design and Investigation , 2016 .

[17]  Marcin Paprzycki,et al.  Practical Application of OFN Arithmetics in a Crisis Control Center Monitoring , 2016 .

[18]  V. Kavitha,et al.  A survey on security issues in service delivery models of cloud computing , 2011, J. Netw. Comput. Appl..

[19]  Marek Macko,et al.  The CutMAG as a New Hybrid Method for Multi-edge Grinder Design Optimisation , 2015, IWIFSGN@FQAS.

[20]  Michal Choras,et al.  Packets tokenization methods for web layer cyber security , 2017, Logic Journal of the IGPL.

[21]  Jacek Czerniak,et al.  Approach to Solve a Criteria Problem of the ABC Algorithm Used to the WBDP Multicriteria Optimization , 2014, IEEE Conf. on Intelligent Systems.

[22]  Siani Pearson,et al.  Toward Accountability in the Cloud , 2011, IEEE Internet Computing.

[23]  Marcin Paprzycki,et al.  New proposed implementation of ABC method to optimization of Water Capsule Flight , 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).