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Research in the field of autonomous mobile robots interactions in various situations is an important task. The original algorithm for simulating the movement of robots is proposed. The basic robots movement model allows avoiding obstacles and reaching their targets without a global route planner. Several movement rules applying to the basic model for estimated their effectiveness are investigated...
The elastic provisioning of Virtual Infrastructures (VIs) enables a dynamic management of cloud resources (computing and communication) in order to meet the hosted application's requirements. Thus, to perform elasticity requests, providers usually rely on reallocation mechanisms and policies. The concerns regarding the environment and the operational costs indicate energy consumption of the data centers...
Fog computing is an emerging paradigm of cloud computing which to meet the growing computation demand of mobile application. It can help mobile devices to overcome resource constraints by offloading the computationally intensive tasks to cloud servers. The challenge of the cloud is to minimize the time of data transfer and task execution to the user, whose location changes owing to mobility, and the...
In this paper, we jointly consider communication, caching and computation in a multi-user cache-assisted mobile edge computing (MEC) system, consisting of one base station (BS) of caching and computing capabilities and multiple users with computation-intensive and latency-sensitive applications. We propose a joint caching and offloading mechanism which involves task uploading and executing for tasks...
This paper proposes modelling ranked load curves using algebraic polynomials. Starting from the assumption of some characteristic parameters of load profiles: maximum power, minimum power and the energy consumption in a time period, characteristic coefficients of different types of algebraic polynomials such as: linear, parabolic and third-order are obtained. The modelling of real load profile has...
In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks. Specifically, an edge device needs to offload computationally intensive tasks because of energy and processing constraints. These constraints present the challenge of identifying which edge nodes should receive tasks to reduce overall resource consumption...
The advent of Cloud has aided mobile devices in performing computation intensive tasks with the virtue of offloading. However, this leads to communication with the Cloud, which results in high energy consumption. Moreover, communication over wireless medium has the risk of intermittent connectivity with Cloud. Hence, there is an urgent need for providing a trade-off between energy consumption and...
The distinguishing feature of the Fog Computing (FC) paradigm is that FC spreads communication and computing resources over the wireless access network, so as to provide resource augmentation to resource and energy-limited wireless (possibly mobile) devices. Since FC would lead to substantial reductions in energy consumption and access latency, it will play a key role in the realization of the Fog...
This paper introduces a study of the fog computing suitability assessment as a solution for the increasing demand of the IoT devices. In particular, we focus on the energy consumption and the Quality of Service (QoS) as two important metrics of the performance of the fog. Therefore, we present a modeling of these two metrics in the fog. Then, we express the problem as constrained optimization and...
In this paper, we develop an access controller management model which provides new opportunities for further reducing the computation repetition and data transmission redundancy for Mobile Edge Computing (MEC) in 5G network. We propose novel algorithms for solving the offloading problem with consideration of tradeoff between energy consumption and the amount of offloaded data under constraint of overall...
The analysis performed in this paper starts from an EPANET model of the Tei-Colentina District water distribution system in Bucharest. The model was used in a previous study to assess the energy consumption of the pumping station. The present study is trying to assess the differences, with respect to energy consumption, between the previous demand driven EPANET model and a new pressure driven model,...
Monitoring and assessing the energy efficiency of supercomputers and data centers is crucial in order to limit and reduce their energy consumption. Applications from the domain of High Performance Computing (HPC), such as MPI applications, account for a significant fraction of the overall energy consumed by HPC centers. Simulation is a popular approach for studying the behavior of these applications...
Electric vehicles (EVs) are one of the key technolgies for a sustainable mobility, reducing fuel consumption and traffic related emissions. Until today the energy density of the traction battery is low compared to fossil fuels, resulting in a limited range of EVs. Therefore, an optimization of the overall energy consumption of an electric vehicle is crucial. This paper proposes an optimized velocity...
Shrinking reserves of natural resources as well as incisive environmental pollution oblige humanity to rethink its generally favored propulsion concept: in the last decade electro-mobility as a refurbished technology gained greater significance once more. Due to political course setting, many German cities are testing Electric Vehicles (EV) especially in public bus transport. To get to the bottom...
In high-performance computing (HPC), end-to-end workflows are typically utilized to gain insights from scientific simulations. An end-to-end workflow consists of scientific simulation and data analysis, and can be executed in-situ, in-transit, and offline. Existing studies on end-to-end workflows have largely focused on the high-performance execution approaches. However, the emerging heterogeneous...
Selection of drive's rated power influences not only vehicle's dynamics, but also its energy efficiency. Mentioned above approach requires a multiphysical model, which covers both mechanical and electrical phenomena. This paper discusses how selection of traction drive's rated power influences vehicle energy consumption on example of a trolleybus. A complex mathematical model was developed in Matlab/Simulink...
In this paper, we formulate the flight planning problem for a multirotor Unmanned Aircraft Systems (UAS) as an optimal control problem. The cost optimized is the energy consumption at the cruise phase of a mission. We first present a general formulation, then address a special cases: optimizing flight directions given vehicle speed. The problem was solved numerically on digital elevation models (DEM)...
This paper presents a visual comfort considered light control method for energy savings in open-plan office and investigates its performance. Simulation and pilot testing results show that more than 60% energy savings could be achieved while providing recommended visual comfort level for each user. Since the proposed algorithm saves energy significantly compared to the previous light control policies...
Sensor nodes are small and low-cost portable devices that are connected wirelessly to form a wireless sensor network. Sensor nodes are typically powered by a chemical battery source that has a load-dependent finite lifetime. Most applications require wireless sensor networks to operate reliably for an extended period of time beginning with their deployment. To ensure both the longevity of a wireless...
Modern high performance computing and cloud computing infrastructures often leverage Graphic Processing Units (GPUs) to provide accelerated, massively parallel computational power. This performance gain, however, may also introduce higher energy consumption. The energy challenge has become more and more pronounced when the system scales. To address this challenge, we propose Archon, a framework for...
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