Adage mobile services for ITS infrastructure

Zaborovskiy, Vladimir S.; Lukashin, Alexey; Popov, Serge; Vostrov, Alexey V.

doi:10.1109/itst.2013.6685533

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…The general idea is to restrict migrations according to the given cloud SLA. Another future work is to integrate these results to our systems described in [5,6]. An important part of our future research is comparing the scheduler based on neural algorithms and the scheduler based on simulated annealing algorithms, which were proposed in [2].…”

Section: Discussionmentioning

confidence: 99%

Resource Scheduler Based on Multi-agent Model and Intelligent Control System for OpenStack

Lukashin

2014

Lecture Notes in Computer Science

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Abstract. Resource consumption in virtualized computing environment is an important problem in modern cloud infrastructures. This paper introduces methods of detecting and solving problems of unbalanced load nodes in cloud cluster. We propose multi-objective optimization problem analysis as the bin packaging problem, using criteria convolution method to make it a single objective problem and neural networks with back-propagation to reduce balancing time. The considered approach is modeled in AnyLogic and the integration software for the system is implemented on OpenStack cloud platform.Keywords: Cloud Computing, neural networks, load balancing, multi objective optimization, AnyLogic, OpenStack. IntroductionInformation and communications technologies are becoming an important part of the infrastructure used for the innovative development of the scientific, technical, social and educational activities. A key component of this infrastructure is data-processing systems. The complexity of creating computer systems with the desired characteristics of the operating system, hardware components and network topology strongly depends on the characteristics of problems solved by these systems. That is why the problem of developing technologies for automated reconfiguration of computer systems is important. The usage of virtualization technologies and solutions based on the paradigm of "cloud computing" allows you to enhance significantly the ability to control computing resources, telecommunication environment and heterogeneous resources. This is particularly important in organization of high-performance parallel computing. These computations require expensive hardware and complex software. For example, one of the most important practical applications of cloud technologies nowadays is to process distributed solutions for control problems. In this case "distributed" means that each computational element could be a single agent (e.g., robot) performing computational tasks that require a lot of resources. Group of computational primitives also could solve this task. Systems like this could also provide interaction between groups of agents that can be physically distant.

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Section: Discussionmentioning

confidence: 99%

Resource Scheduler Based on Multi-agent Model and Intelligent Control System for OpenStack

Lukashin

2014

Lecture Notes in Computer Science

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“…Телекоммуникации. Управление (1) Consider the application of the logicalprobabilistic method to build estimates of message delivery probability from vehicle n A to 1 A at the specified time moment i T into the network with incomplete notifying the node of the network status [9].…”

Section: Assessment Of Message Delivery Reliability By Using a Logicamentioning

confidence: 99%

“…Define k f as the logical function of a successful connection between nodes k and 1. Then k f is realized in the form of the recurrence relation: x − + will be used and the recursive function calculated for the next value is 1 .…”

Section: Assessment Of Message Delivery Reliability By Using a Logicamentioning

confidence: 99%

“…The continuous improvement of data transmission assets, network equipment, internetworking methods and cloud services access methods allow defining new tasks of providing information services to mobile networks subscribers. A special interest is given to the problems of improving the quality of messaging between traffic networks participants in the areas with low-quality network coverage [1].…”

Section: Introductionmentioning

confidence: 99%

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Qualification Routes Messaging for Dynamic Systems Using а Logical-probabilistic Method

Glazunov¹,

Kurochkin²,

Popov³

2015

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In this paper we have considered the problem of message routes evaluation in the dynamic network of mobile subscribers. The network of mobile objects is represented by a graph with the time-varying structure. The search of the optimal route at any given time has polynomial complexity. As a solution, we suggest the logical-probabilistic method to build estimates of the routes. This method allows obtaining an analytical expression of the message delivery probability function for a s-connected graph with the given dimension. In this case, the time of searching for an optimal route can be considered as a constant. FUNCTION OF MESSAGE DELIVERy PROBABILITy; MOBILE OBjECT; DyNAMIC SySTEM; ROUTE MESSAGING; LOGICAL-PROBABILISTIC METHOD; MESH-NETWORK. рассмотрена задача построения оценки маршрутов передачи сообщений в динамической сети мобильных абонентов. сеть мобильных объектов представлена графом, структура которого меняется во времени. Поиск оптимального маршрута передачи данных в произвольный момент времени требует полиномиального времени. для решения этой проблемы предложено строить оценки, используя логико-вероятностный метод, позволяющий получить аналитическое выражение функции вероятности доставки сообщения для s-связанного графа заданной размерности. в этом случае время построения оптимального маршрута можно считать константным. ФункцИя вероятностИ доставкИ сообщенИй; мобИльный объект; дИна-мИческая сИстема; маршрут ПередачИ сообщенИй; логИко-вероятностный метод; MESH-сетИ.

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“…A cloud system for Scientific Computing with integrated security services has been developed in Telematics department [7,14]. This system has been used for testing and evaluating algorithms as well as running simulations.…”

Section: Related Workmentioning

confidence: 99%

Distributed Packet Trace Processing Method for Information Security Analysis

Lukashin

Laboshin

Zaborovsky

et al. 2014

Lecture Notes in Computer Science

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Abstract. Information security is an important topic today. Internet Service Providers use network traffic analysis for evaluating network performance, collecting statistics and detecting vulnerabilities. Analysing traffic traces collected from large network requires a computer system where both storage and computing resources can be scaled out to handle and process multi-Terabyte files. Cloud platforms and clustered file systems provide re-sizable compute and storage capacity. MapReduce programming model developed by Google, allows distributed processing of massive data amounts by defining map and reduce functions. In this paper, we propose a cloud computing framework based on MapReduce approach for fast internet traffic analytics.

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Adage mobile services for ITS infrastructure

Cited by 9 publications

References 6 publications

Resource Scheduler Based on Multi-agent Model and Intelligent Control System for OpenStack

Resource Scheduler Based on Multi-agent Model and Intelligent Control System for OpenStack

Qualification Routes Messaging for Dynamic Systems Using а Logical-probabilistic Method

Distributed Packet Trace Processing Method for Information Security Analysis

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