scholarly journals Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2191
Author(s):  
Dimitrios Dechouniotis ◽  
Nikolaos Athanasopoulos ◽  
Aris Leivadeas ◽  
Nathalie Mitton ◽  
Raphael Jungers ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Dynamic Networks ◽  
Service Differentiation ◽  
Edge Computing ◽  
Decision Strategy ◽  
Network Computing ◽  
Time Critical ◽  
Net Framework ◽  
And Storage

The potential offered by the abundance of sensors, actuators, and communications in the Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resources, guaranteeing at the same time feasibility for time-critical and mission-critical tasks. We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying. It includes analytic dynamical modeling of the resources, offered workload, and networking environment, incorporating phenomena typically met in wireless communications and mobile edge computing, together with new estimators of time-varying profiles. Building on this framework, we aim to develop novel resource allocation mechanisms that explicitly include service differentiation and context-awareness, being capable of guaranteeing well-defined Quality of Service (QoS) metrics. DRUID-NET goes beyond the state of the art in the design of control algorithms by incorporating resource allocation mechanisms to the decision strategy itself. To achieve these breakthroughs, we combine tools from Automata and Graph theory, Machine Learning, Modern Control Theory, and Network Theory. DRUID-NET constitutes the first truly holistic, multidisciplinary approach that extends recent, albeit fragmented results from all aforementioned fields, thus bridging the gap between efforts of different communities.

scholarly journals Edge-Computing Architectures for Internet of Things Applications: A Survey

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6441 ◽  
Author(s):  
Salam Hamdan ◽  
Moussa Ayyash ◽  
Sufyan Almajali
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Resource Limitation ◽  
Edge Computing ◽  
Iot Applications ◽  
Life Tasks ◽  
Iot Devices ◽  
Processing And Storage ◽  
Time Critical ◽  
And Storage

The rapid growth of the Internet of Things (IoT) applications and their interference with our daily life tasks have led to a large number of IoT devices and enormous sizes of IoT-generated data. The resources of IoT devices are limited; therefore, the processing and storing IoT data in these devices are inefficient. Traditional cloud-computing resources are used to partially handle some of the IoT resource-limitation issues; however, using the resources in cloud centers leads to other issues, such as latency in time-critical IoT applications. Therefore, edge-cloud-computing technology has recently evolved. This technology allows for data processing and storage at the edge of the network. This paper studies, in-depth, edge-computing architectures for IoT (ECAs-IoT), and then classifies them according to different factors such as data placement, orchestration services, security, and big data. Besides, the paper studies each architecture in depth and compares them according to various features. Additionally, ECAs-IoT is mapped according to two existing IoT layered models, which helps in identifying the capabilities, features, and gaps of every architecture. Moreover, the paper presents the most important limitations of existing ECAs-IoT and recommends solutions to them. Furthermore, this survey details the IoT applications in the edge-computing domain. Lastly, the paper recommends four different scenarios for using ECAs-IoT by IoT applications.

scholarly journals Characterization and modeling of an edge computing mixed reality workload

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Klervie Toczé ◽  
Johan Lindqvist ◽  
Simin Nadjm-Tehrani
Keyword(s):  
Mobile Application ◽  
Mixed Reality ◽  
Edge Computing ◽  
Resource Utilisation ◽  
Computing Paradigm ◽  
Time Critical ◽  
Different Characteristics ◽  
Workload Models ◽  
User Device

AbstractThe edge computing paradigm comes with a promise of lower application latency compared to the cloud. Moreover, offloading user device computations to the edge enables running demanding applications on resource-constrained mobile end devices. However, there is a lack of workload models specific to edge offloading using applications as their basis.In this work, we build upon the reconfigurable open-source mixed reality (MR) framework MR-Leo as a vehicle to study resource utilisation and quality of service for a time-critical mobile application that would have to rely on the edge to be widely deployed. We perform experiments to aid estimating the resource footprint and the generated load by MR-Leo, and propose an application model and a statistical workload model for it. The idea is that such empirically-driven models can be the basis of evaluations of edge algorithms within simulation or analytical studies.A comparison with a workload model used in a recent work shows that the computational demand of MR-Leo exhibits very different characteristics from those assumed for MR applications earlier.

scholarly journals A resource management survey for mission-critical and time-critical applications in multiaccess edge computing

2021 ◽  
Vol 2 (2) ◽  
pp. 61-80
Author(s):  
Nina Santi ◽  
Nathalie Mitton
Keyword(s):  
Resource Allocation ◽  
Resource Management ◽  
Edge Computing ◽  
Acute Management ◽  
Military Operations ◽  
Computing Power ◽  
Management Schemes ◽  
Mission Critical ◽  
Time Critical ◽  
Resource Allocation Schemes

Multiaccess Edge Computing (MEC) brings additional computing power in proximity of mobile users, reducing latency, saving energy and alleviating the network's bandwidth. This proximity is beneficial, especially for mission-critical applications where each second matters, such as disaster management or military operations. Moreover, it enables MEC resources embedded on mobile units like drones or robots that are flexible to be deployed for mission-critical applications. However, the MEC servers are capacity-limited and thus need an acute management of their resources. The mobile resources also need a smart deployment scheme to deliver their services efficiently. In this survey, we review mission-critical applications, resource allocation and deployment of mobile resources techniques in the context of the MEC. First, we introduce the technical specifics and uses of MEC in mission-critical applications to highlight their needs and requirements. Then, we discuss the resource allocation schemes for MEC and assess their fit depending on the application needs. In the same fashion, we finally review the deployment of MEC mobile resources. We believe this work could serve as a helping hand to design efficient MEC resource management schemes that respond to challenging environments such as mission-critical applications.

EFEK PENAMBAHAN EKSTRAK AIR JAHE (Zingiber officinale Roscoe) DAN PENYIMPANAN DINGIN TERHADAP MUTU SENSORI IKAN TUNA (Thunnus albacores)

2010 ◽  
Vol 6 (1) ◽  
pp. 36
Author(s):  
Silvana Dinaintang Harikedua
Keyword(s):  
Sensory Quality ◽  
Zingiber Officinale ◽  
The Other ◽  
Ginger Extract ◽  
Other Hand ◽  
Storage Treatment ◽  
Zingiber Officinale Roscoe ◽  
Hedonic Scale ◽  
And Storage

The objective of this study was to investigate the effect of ginger extract addition and refrigerate storage on sensory quality of Tuna through panelist’s perception. Panelists (n=30) evaluated samples for overall appearance and flavor attribute using hedonic scale 1–7. The sample which is more acceptable by panelists on flavor attributes having 3% gingers extract and storage for 3 days. The less acceptable sample on flavor attribute having 0% ginger extract and storage for 9 days. On the other hand, the sample which is more acceptable by panelists on overall appearance having 0% ginger extract without storage treatment. The less acceptable sample on overall appearance having 3% ginger extract and storage for 9 days.

Sugar beet from field clamps -harvest quality and storage loss

2018 ◽  
pp. 639-647 ◽  
Author(s):  
Christa Hoffmann
Keyword(s):  
Sugar Beet ◽  
Surface Damage ◽  
Invert Sugar ◽  
Root Tip ◽  
Soil Conditions ◽  
Storage Losses ◽  
Commercial Sugar ◽  
And Storage ◽  
High Storage

Harvest quality of sugar beet varies according to soil conditions, harvester type and setting, and variety, too. Harvest quality may affect storage losses, in particular when injuries occur. To determine the harvest quality of commercial sugar beet and to quantify resulting storage losses, 92 commercial sugar beet clamps were sampled across Germany and information about harvest conditions were gathered. At IfZ, soil tare, leaf residues, topping diameter, root tip breakage and surface damage of the beets were determined. The beets were stored in 6 replicates in a climate container at 9°C for 10 weeks. The results demonstrate a rather good harvesting quality of sugar beet in Germany. Soil moisture at harvest did not affect harvest quality and storage losses. Very light, but also heavier soils lead to inferior harvest quality (soil tare, root tip breakage, damage) and slightly higher storage losses compared to the typical loam soils. Significant differences occurred between the three harvester types (companies). In general, high root tip breakage and severe surface damage of the beet was related to a high infestation with mould and rots, high invert sugar contents after storage and high sugar losses. Out of the five most planted varieties, in particular one turned out to be very susceptible to damage, resulting in high storage losses. The factor analysis suggests that the effect of harvester / harvester setting and of variety is more important for harvest quality and storage losses of sugar beet than soil conditions at harvest. Therefore, attention should be paid to optimize these conditions.

Empresas familiares en zonas marginales. Estrategias de subsistencia y financiación pública en la localidad de ciudad bolívar de Bogotá

2017 ◽  
Vol 7 (12) ◽  
pp. 3
Author(s):  
Jenny Paola Cervera Quintero
Keyword(s):  
Quality Of Life ◽  
Resource Allocation ◽  
Family Business ◽  
City Government ◽  
The Real ◽  
Calidad De Vida ◽  
Institutional Action ◽  
The City

Esta investigación muestra las características y estrategias socioeconómicas identificadas en un grupo de famiempresas de confección en Ciudad Bolívar, localidad de Bogotá, con las cuales logran la permanencia de sus negocios y así la reproducción de la vida y la subsistencia de sus familias. Este primer elemento se contrasta con las políticas de consecución de ingresos desarrolladas por los gobiernos distritales en el período 2000-2013, con el fin de encontrar los elementos comunes y el real aporte con el que las políticas sociales y económicas del Distrito benefician la economía popular de la ciudad, teniendo como referencia el grupo de famiempresas con el que se trabajó. Después de obtener un paralelo entre las políticas socioeconómicas del Distrito y las necesidades reales de las famiempresas, se desarrolla un ejercicio práctico aplicando la metodología de Vester como base para la formulación de recomendaciones dirigidas hacia los gobiernos distritales, en las que se manifiestan las prioridades que esta población objetivo espera de la acción institucional para mejorar el desempeño de sus famiempresas y, por ende, el de su consecución de ingresos para mejor su calidad de vida y la de sus familias.ABSTRACTThis research examines the socio-economic characteristics and strategies pertaining to a group of family business in the apparel sector in Ciudad Bolivar (Bogota), which ensures some stability in the business itself and in their families´ livelihood. This first element is contrasted with the policies of resource allocation pursued by Bogota local administrations in the period 2000-2013, in order to identify the real governmental contributions to thelocal economy. Next, a practical exercise is conducted by applying the methodology of Vester as a basis for the formulation of recommendations addressed to the city government; those recommendations depict the priorities that the targeted population expects from the institutional action to improve the performance of their business and to enhance their income to better their quality of life and that of their families. Fecha de recepción: 23 agosto 2016Fecha de aprobación: 15 noviembre de 2016Fecha de publicación: 6 de enero de 2017

scholarly journals Multi-Objective Whale Optimization Algorithm for Computation Offloading Optimization in Mobile Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2628
Author(s):  
Mengxing Huang ◽  
Qianhao Zhai ◽  
Yinjie Chen ◽  
Siling Feng ◽  
Feng Shu
Keyword(s):  
Optimization Algorithm ◽  
Edge Computing ◽  
Solution Set ◽  
Whale Optimization Algorithm ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Multi Objective ◽  
Whale Optimization ◽  
Artificial Immune System Algorithm

Computation offloading is one of the most important problems in edge computing. Devices can transmit computation tasks to servers to be executed through computation offloading. However, not all the computation tasks can be offloaded to servers with the limitation of network conditions. Therefore, it is very important to decide quickly how many tasks should be executed on servers and how many should be executed locally. Only computation tasks that are properly offloaded can improve the Quality of Service (QoS). Some existing methods only focus on a single objection, and of the others some have high computational complexity. There still have no method that could balance the targets and complexity for universal application. In this study, a Multi-Objective Whale Optimization Algorithm (MOWOA) based on time and energy consumption is proposed to solve the optimal offloading mechanism of computation offloading in mobile edge computing. It is the first time that MOWOA has been applied in this area. For improving the quality of the solution set, crowding degrees are introduced and all solutions are sorted by crowding degrees. Additionally, an improved MOWOA (MOWOA2) by using the gravity reference point method is proposed to obtain better diversity of the solution set. Compared with some typical approaches, such as the Grid-Based Evolutionary Algorithm (GrEA), Cluster-Gradient-based Artificial Immune System Algorithm (CGbAIS), Non-dominated Sorting Genetic Algorithm III (NSGA-III), etc., the MOWOA2 performs better in terms of the quality of the final solutions.

scholarly journals D2D Assisted Cellular Networks in Licensed and Unlicensed Spectrum: Matching-Iteration-Based Joint User Access and Resource Allocation

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 80
Author(s):  
Qiuqi Han ◽  
Guangyuan Zheng ◽  
Chen Xu
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
System Capacity ◽  
System Throughput ◽  
Unlicensed Spectrum ◽  
Resource Allocation Algorithm ◽  
User Access ◽  
Limited Spectrum

Device-to-Device (D2D) communications, which enable direct communication between nearby user devices over the licensed spectrum, have been considered a key technique to improve spectral efficiency and system throughput in cellular networks (CNs). However, the limited spectrum resources cannot be sufficient to support more cellular users (CUs) and D2D users to meet the growth of the traffic data in future wireless networks. Therefore, Long-Term Evolution-Unlicensed (LTE-U) and D2D-Unlicensed (D2D-U) technologies have been proposed to further enhance system capacity by extending the CUs and D2D users on the unlicensed spectrum for communications. In this paper, we consider an LTE network where the CUs and D2D users are allowed to share the unlicensed spectrum with Wi-Fi users. To maximize the sum rate of all users while guaranteeing each user’s quality of service (QoS), we jointly consider user access and resource allocation. To tackle the formulated problem, we propose a matching-iteration-based joint user access and resource allocation algorithm. Simulation results show that the proposed algorithm can significantly improve system throughput compared to the other benchmark algorithms.

scholarly journals Effect of Methyl Jasmonate, Cytokinin, and Lavender Oil on Antioxidant Enzyme System of Apricot Fruit (Prunus armeniaca L.)

2021 ◽  
Vol 13 (15) ◽  
pp. 8565
Author(s):  
Seyda Cavusoglu ◽  
Nurettin Yilmaz ◽  
Firat Islek ◽  
Onur Tekin ◽  
Halil Ibrahim Sagbas ◽  
...  
Keyword(s):  
Enzyme Activity ◽  
Methyl Jasmonate ◽  
Prunus Armeniaca ◽  
Lavender Oil ◽  
Defense Systems ◽  
Antioxidant Enzyme System ◽  
Prunus Armeniaca L ◽  
Antioxidant Defense Systems ◽  
And Storage

Various treatments are carried out in order to extend both the shelf life and storage life of fresh fruit and vegetables after harvest and among them non-toxic for humans, environmentally and economically friendly alternative treatments are gained more importance. In the current study, methyl jasmonate (MeJA), cytokinin, and lavender oil which are eco-friendly and safe for human health were applied on apricot fruit. The treated fruit were stored at 0 °C and 90–95% relative humidity for 25 days and catalase (CAT), superoxide dismutase (SOD), and ascorbate peroxidase (APX) enzyme activities and lipid peroxidation of apricots after treatments were studied. According to the findings obtained from the study, it was observed that 5 ppm cytokinin and 1000 ppm lavender oil treatments of apricot fruit gave better APX and CAT enzyme activity, respectively. In addition, better SOD enzyme activity in fruit was obtained with MeJA+lavender oil treatments. As a result, it can be emphasized that the product quality of apricot fruit is preserved as both the eco-friendly application of MeJA, cytokinin, and lavender oil separately from each other and the treatment of combinations between these compounds activate the enzymatic antioxidant defense systems of apricot fruit after harvest.

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