Abstract
The results of the statistical model experiments research of various load balancing algorithms in distributed computing systems are presented. Software tools were developed. These tools, which allow to create a virtual infrastructure of distributed computing system in accordance with the intended objective of the research focused on multi-agent and multithreaded data processing were developed. A diagram of the control processing of requests from the terminal devices, providing an effective dynamic horizontal scaling of computing power at peak loads, is proposed.
Highlights
IntroductionModern trends of technology tendencies in the IT industry (the concept of cloud computing, big data concept, the concept of Internet-things, the concept of fog computing, the concept of mobilization of calculations, etc.) exponentially increase the volume of transmitted data, and uniquely determine the need to use in computing systems distributed multiprocessor and multicomputer systems (MCS)
Modern trends of technology tendencies in the IT industry exponentially increase the volume of transmitted data, and uniquely determine the need to use in computing systems distributed multiprocessor and multicomputer systems (MCS)
As a result of experiments, it can be said that the time of connection of terminals and processing requests to main control center (MCC) was reduced by 57%, compared to the classical version
Summary
Modern trends of technology tendencies in the IT industry (the concept of cloud computing, big data concept, the concept of Internet-things, the concept of fog computing, the concept of mobilization of calculations, etc.) exponentially increase the volume of transmitted data, and uniquely determine the need to use in computing systems distributed multiprocessor and multicomputer systems (MCS). As it is noted by many experts, if the physical infrastructure of MCS complexity is reduced (an era of universal MCS architectures begins), the logical complexity of such software systems only increases [1-3].
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