Dynamic Routing Algorithms and Methods for Controlling Traffic Flows of Cloud Applications and Services

Nowadays, we see a steady growth in the use of cloud computing in modern business. This enables to reduce the cost of IT infrastructure owning and operation; however, there are some issues related to the management of data processing centers.One of these issues is the effective use of companies’ computing and network resources. The goal of optimization is to manage the traffic in cloud applications and services within data centers.Taking into account the multitier architecture of modern data centers, we need to pay a special attention to this task. The advantage of modern infrastructure virtualization is the possibility to use software-defined networks and software-defined data storages. However, the existing optimization of algorithmic solutions does not take into account the specific features of the network traffic formation with multiple application types.The task of optimizing traffic distribution for cloud applications and services can be solved by using software-defined infrastructure of virtual data centers.We have developed a simulation model for the traffic in software-defined networks segments of data centers involved in processing user requests to cloud application and services within a network environment.Our model enables to implement the traffic management algorithm of cloud applications and to optimize the access to storage systems through the effective use of data transmission channels. During the experimental studies, we have found that the use of our algorithm enables to decrease the response time of cloud applications and services and, therefore, to increase the productivity of user requests processing and to reduce the number of refusals

Розробка моделей і алгоритмів оптимізації споживання ресурсів в сховищі даних на базі хмарної платформи

The use of cloud computing technology to build information systems of research organization is discussed in this paper. The main purpose is to determine the key parameters that affect how each resource involved in the construction of systems and optimization of resource consumption taking into account solvable problem. The research results are based on queuing theory, methods of optimization and simulation. Mathematical models of service requests users to store data on a cloud platform. Also the algorithm of load balancing algorithm and intellectual migration data in cloud storage data is developed. The algorithms allow scale information system without lowering the volume of resources involved in the work. Performance evaluation showed decrease query processing time by increasing system capacity by using developed technology. The research results can be used to improve the efficiency of software and hardware resources, quality of services in information systems to the cloud platform, as well as to avoid overloading services.В рамках представленного исследования построена модель хранения и организации распределенного доступа к данным с использованием облачной платформы мультимедийных ресурсов, развернутых в информационной системе. При этом основной задачей исследования является разработка алгоритмов и методов управления производительностью и оптимизация использования программных и аппаратных ресурсов.В рамках представленого дослідження побудована модель зберігання та організації розподіленого доступу до даних з використанням хмарної платформи мультимедійних ресурсів, розгорнутих в інформаційній системі. При цьому основним завданням дослідження є розробка алгоритмів і методів управління продуктивністю та оптимізація використання програмних і апаратних ресурсів