TRAFFIC FLOWS FORECASTING BASED ON MACHINE LEARNING

The article aims to develop a model for forecasting the characteristics of traffic flows in real-time based on the classification of applications using machine learning methods to ensure the quality of service. It is shown that the model can forecast the mean rate and frequency of packet arrival for the entire flow of each class separately. The prediction is based on information about the previous flows of this class and the first 15 packets of the active flow. Thus, the Random Forest Regression method reduces the prediction error by approximately 1.5 times compared to the standard mean estimate for transmitted packets issued at the switch interface.

Optimizing the Migration of Virtual Machines in Cloud Data Centers

Dynamic resource allocation of cloud data centers is implemented with the use of virtual machine migration. Selected virtual machines (VM) should be migrated on appropriate destination servers. This is a critical step and should be performed according to several criteria. It is proposed to use the criteria of minimum resource wastage and service level agreement violation. The optimization problem of the VM placement according to two criteria is formulated, which is equivalent to the well-known main assignment problem in terms of the structure, necessary conditions, and the nature of variables. It is suggested to use the Hungarian method or to reduce the problem to a closed transport problem. This allows the exact solution to be obtained in real time. Simulation has shown that the proposed approach outperforms widely used bin-packing heuristics in both criteria.

Configuring methods for deadlock-free routing

This paper discusses the problem of tracking of deadlock-free routes. A brief overview of existing software tools providing this functionality is given. A complete overview of the proposed software for building routes for given SpaceWire onboard networks is presented. The paper discusses the application of different existing methods for the choosing of the best route from the list of the deadlock-free routes. A brief overview of the methods for of choosing the best route according to the provided criteria is given. A new method for choosing of the best route and its modification is proposed. Authors provide the result of the methods application and the detailed comparison.

Effectiveness Evaluation of Replacement Policies for On-Chip Caches in Multiprocessors

A Cache plays a vital role in improving performance in the multicore environment, especially the Last Level Cache (LLC). The improvements in performance are based on the block size, associativity, and replacement policies. Most of the papers concentrate on traditional Least Recently Used (LRU) based replacement policies for their replacement decisions. Unfortunately, the replacement decisions do not enhance performance of the cache as expected. An enhanced modified Pseudo LRU policy is proposed, which is an approximation of LRU. The proposed methodology uses counters to enhance the confidence of replacement decisions based on the history of the replaceable blocks in cache. It is very clear from the Simulation results that the replacement scheme proposed exhibits better performance improvement in terms of miss ratio of about 3% and energy efficiency of about 2% on an average.

Controlled synthesis of multifunctional coatings by micro-arc oxidation method

The article is devoted to the development of the methodology for the controlled synthesis of protective coatings by the micro-arc oxidation method in order to improve the efficiency of this technology and the quality of the obtained oxide layers. Methodology includes a mathematical model of a galvanic cell based on an equivalent electrical circuit, as well as a model of the interconnections between the technological parameters of the micro-arc oxidation (MAO) process and the properties of the obtained oxide layers based on graph theory. The indicated dependences are formalized using methods of regression and correlation analysis of experimental data. A technique for the controlled synthesis of MAO coatings using the obtained regression equations is proposed. The structure and functioning algorithm of an intelligent automated system for the controlled synthesis of MAO coatings are developed. A prototype of this system was used to obtain experimental dependences of reaction parameters on the influence parameters of the micro-arc oxidation process.

ESQuMo an Embedded Software Quality Model

Embedded systems are increasingly used in our daily life due to their importance. They are computer platforms consisting of hardware and software. They run specific tasks to realize functional and non functional requirements. Several specific quality attributes were identified as relevant to the embedded system domain. However, the existent general quality models do not address clearly these specific quality attributes. Hence, the proposition of quality models which address the relevant quality attributes of embedded systems needs more attention and investigation. The major goal of this paper is to propose a new quality model (called ESQuMo for Embedded Software Quality Model) which provides a better understanding of quality in the context of embedded software. Besides, it focuses the light on the relevant attributes of the embedded software and addresses clearly the importance of these attributes. In fact, ESQuMo is based on the well-established ISO/IEC 25010 standard quality model.

Delay Tolerant Network Protocols in a Railway Network

The paper is devoted to the analysis of the effectiveness of the DTN (delay tolerant network) system in a communication network on a railway line. Trains act as moving objects that are sending and receiving messages to/from an external network. Trains may also transmit telemetry collected during movement. The article presents data on the effectiveness of the DTN network with various protocols in terms of reducing the delay in the message and telemetry delivery and in increasing the total number of delivered messages in the railway scenario. An analysis of railway lines with various loads and different coverage of mobile networks was made. These models are based on real railway maps and train schedules. The effectiveness of DTN during migration to networks of a higher data rate (5G) and networks with satellite connection of trains is discussed.

Reliable Energy-Aware Scheduling Algorithm With Multi-Level Budget for Real-Time Embedded System

Energy consumption of embedded applications has rapidly increased with the advancement of technology and computing. There is a little improvement in energy consumption as compared to computing and storage capacity. Although computing performance has been continuously increasing, power/energy consumption is more critical in the design of real-time embedded systems. Real-time embedded applications need a power management technique to judicially balance the energy consumption and computing performance. It should be done in such a way that the system performance improves along with an increase in the lifespan of the system. The proposed methodology presented in this paper deals with the minimization of energy for time-critical embedded applications. Simulation studies, along with theoretical analysis, have been carried out to show the effectiveness of the proposed three-phase reliable energy-aware scheduling method. It is observed that the proposed approach provides better tolerance (approximately four times) and consumes less energy (35% to 45%) for a wide range of applications.

A Review on Energy Optimization in Location-Based Services for 5G and IoT Networks

Fifth generation mobile technology (5G) targets to meet user demands in terms of improved capability, increased data rate, and best value of service. In order to meet these demands, the 5G technology applies massive multiple-input multiple-output (MIMO) and device-to-device communication (D2D). Also, by making use of location-based services (LBS), it provides value-added services to the users including methods to overcome the energy depletion in the network. The authors discuss the internet of things and its potential to offer novel solutions. Media access control (MAC) sub-layer offers and channel access control mechanisms will enable various terminals or network nodes to interact in a network and prevent collisions. Here, the authors present a complete review related to developing and enabling technologies with the key focus on 5G mobile networks and supporting the growth in traffic for enabling IoT.

Privacy-Aware Contact Sharing for Groups in P2P Networks

The need for peer-to-peer (p2p) communications is obvious because current centralized solutions are capturing and storing too much information from individuals communicating with each other. HELIOS platform introduces a new social media platform that is not controlled by any central operator but brings the power of possession of the data back to the users. It does not have centralized servers that store and handle receiving/sending of the messages. Instead, HELIOS platform relies on the current open-source solutions available in the p2p communities to propagate the messages to the wanted recipients of the data and/or messages. The authors of this paper propose a set of protocols to help answer one specific problem related to p2p communication. Especially, this paper proposes how to privately share data (end-point address or other) of the user with such other users who have previously connected with the user securely, either offline or online.