scholarly journals Task Offloading Based on Lyapunov Optimization for MEC-Assisted Vehicular Platooning Networks

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4974 ◽  
Author(s):  
Taiping Cui ◽  
Yuyu Hu ◽  
Bin Shen ◽  
Qianbin Chen
Keyword(s):  
Time Algorithm ◽  
Advanced Technology ◽  
Lyapunov Optimization ◽  
Vehicle Platooning ◽  
Current Task ◽  
Reduce Energy Consumption ◽  
Shortest Queue ◽  
Vehicle Terminal ◽  
And Storage ◽  
Task Offloading

Due to limited computation resources of a vehicle terminal, it is impossible to meet the demands of some applications and services, especially for computation-intensive types, which not only results in computation burden and delay, but also consumes more energy. Mobile edge computing (MEC) is an emerging architecture in which computation and storage services are extended to the edge of a network, which is an advanced technology to support multiple applications and services that requires ultra-low latency. In this paper, a task offloading approach for an MEC-assisted vehicle platooning is proposed, where the Lyapunov optimization algorithm is employed to solve the optimization problem under the condition of stability of task queues. The proposed approach dynamically adjusts the offloading decisions for all tasks according to data parameters of current task, and judge whether it is executed locally, in other platooning member or at an MEC server. The simulation results show that the proposed algorithm can effectively reduce energy consumption of task execution and greatly improve the offloading efficiency compared with the shortest queue waiting time algorithm and the full offloading to an MEC algorithm.

Things in Intelligent Agriculture Applications

2014 ◽  
Vol 513-517 ◽  
pp. 444-447
Author(s):  
Da Wei Xu ◽  
Shan Ren ◽  
Li Ping Yang
Keyword(s):  
Agricultural Production ◽  
Agricultural Development ◽  
New Technology ◽  
Advanced Technology ◽  
The Road ◽  
Modern Agriculture ◽  
Agricultural Sustainable Development ◽  
Reduce Energy Consumption ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, the Internet of things technology used in modern agriculture, the satellite, remote sensing, computer and automatic control, and other high and new technology applied in agricultural production, in order to improve the yield, reduce energy consumption. Of the international advanced technology and mature will be popularized to the country, with less people more agricultural development in our country, in order to solve the bottleneck, reduce pollution and waste, the road of agricultural sustainable development.

scholarly journals REGION INTERVISIBILITY IN TERRAINS

2007 ◽  
Vol 17 (04) ◽  
pp. 331-347
Author(s):  
ESTHER MOET ◽  
MARC VAN KREVELD ◽  
RENÉ VAN OOSTRUM
Keyword(s):  
Linear Function ◽  
Piecewise Linear ◽  
Time Algorithm ◽  
Piecewise Linear Function ◽  
Line Of Sight ◽  
Continuous Piecewise Linear Function ◽  
Simply Connected ◽  
And Storage

A polyhedral terrain is the graph of a continuous piecewise linear function defined over the triangles of a triangulation in the xy-plane. Two points on or above a terrain are visible to each other if the line-of-sight does not intersect the space below the terrain. In this paper, we look at three related visibility problems in terrains. Suppose we are given a terrain T with n triangles and two regions R1 and R2 on T, i.e., two simply connected subsets of at most m triangles. First, we present an algorithm that determines, for any constant ∊ > 0, within O(n1+∊m) time and storage whether or not R1 and R2 are completely intervisible. We also give an O(m3n4) time algorithm to determine whether every point in R1 sees at least one point in R2. Finally, we present an O(m2n2 log n) time algorithm to determine whether there exists a pair of points p ∈ R1 and q ∈ R2, such that p and q see each other.

scholarly journals Modeling and Analyzing Offloading Strategies of IoT Applications over Edge Computing and Joint Clouds

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 402
Author(s):  
Jaber Almutairi ◽  
Mohammad Aldossary
Keyword(s):  
Network Performance ◽  
Disruptive Technology ◽  
Essential Factor ◽  
Service Architecture ◽  
Loosely Coupled ◽  
Iot Applications ◽  
Overall Performance ◽  
Iot Devices ◽  
And Storage ◽  
Task Offloading

Internet of Things (IoT) is swiftly evolving into a disruptive technology in recent years. For enhancing customer experience and accelerating job execution, IoT task offloading enables mobile end devices to release heavy computation and storage to the resource-rich nodes in collaborative Edges or Clouds. However, how different service architecture and offloading strategies quantitatively impact the end-to-end performance of IoT applications is still far from known particularly given a dynamic and unpredictable assortment of interconnected virtual and physical devices. This paper exploits potential network performance that manifests within the edge-cloud environment, then investigates and compares the impacts of two types of architectures: Loosely-Coupled (LC) and Orchestrator-Enabled (OE). Further, it introduces three customized offloading strategies in order to handle various requirements for IoT latency-sensitive applications. Through comparative experiments, we observed that the computational requirements exerts more influence on the IoT application’s performance compared to the communication requirement. However, when the system scales up to accommodate more IoT devices, communication bandwidth will turn to be the dominant resource and becomes the essential factor that will directly impact the overall performance. Thus, orchestration is a necessary procedure to encompass optimized solutions under different constraints for optimal offloading placement.

scholarly journals Elegant Computational Intensive Task Offloading Scenario for Android

2021 ◽  
Author(s):  
MAHESH KALUTI
Keyword(s):  
Cloud Computing ◽  
Smart Phone ◽  
Computation Offloading ◽  
Smart Devices ◽  
Small Scale ◽  
Cloud Framework ◽  
Iot Devices ◽  
And Storage ◽  
Day By Day ◽  
Task Offloading

Despite the technical changes and enormous day by day upgradiation in the field of mobile computing the smart devices as well as IOT devices had experienced tremendous technical glitch, which narrow’s the life span and survivability of small scale processing devices. Today, end users are becoming more demanding and are expecting to run computational intensive tasks on their Smart phone devices and IOT devices. Therefore, virtual cloud computing (VCC) integrates local device computing and Cloud Computing (CC) in order to extend computational capabilities of smart phone devices and IOT devices using cloud offloading techniques. Computation Offloading tackles limitations of Smart phone devices and IOT devices such as limited battery duration, limited computational capabilities, and limited storage capacity by offloading the execution and workload to cloud which has better systems with better computation and storage capabilities. This paper aims to present the techniques to offload computational intensive tasks to cloud framework and analyses them along with traditional local execution techniques and their issues. Furthermore, it explores other important parameters based on which the applications are implemented such as offloading technique and partitioning of tasks.

scholarly journals Qatar’s effort for the deployment of Carbon Capture and Storage

2017 ◽  
Vol 19 (3) ◽  
pp. 453-457 ◽  
Keyword(s):  
Co2 Emissions ◽  
Carbon Capture ◽  
Negative Impact ◽  
Carbon Capture And Storage ◽  
Advanced Technology ◽  
Negative Effects ◽  
Technical Potential ◽  
Major Shift ◽  
And Storage

Carbon Capture and Storage (CCS) is an advanced technology that has the technical potential to provide dual advantages: (1) it helps countries maintain their hydrocarbon – driven economic advancement, such as Gulf Corporation Council countries (GCC) and (2) mitigating the negative effects of increasing CO2 emissions. A full system of CCS consists of CO2 separation, compression, transportation, injection into underground reservoirs and long-term monitoring. Qatar is very well aware of the adverse consequences of the rise of CO2 emissions and therefore started investing heavily in carbon capture and Storage and took major steps to mitigate the negative impact of CO2. It is believed that CCS would provide a major shift in mitigation the CO2 emissions. This paper will analyze the potential of deployment of CCS in Qatar as well as the efforts expended so far in that regard.

The Granulation Technique of Rice Straw and its Mechanical Equipment Design

2010 ◽  
Vol 34-35 ◽  
pp. 1620-1624
Author(s):  
Ji Qiu Tan ◽  
Jun An Liu ◽  
Xiao Bo Song ◽  
Ming Dai ◽  
Zi Jun Xu
Keyword(s):  
Rice Straw ◽  
Renewable Resources ◽  
Compression Molding ◽  
Secondary Development ◽  
Mechanical Equipment ◽  
Combustion Properties ◽  
Biomass Resources ◽  
Development And Utilization ◽  
Reduce Energy Consumption ◽  
And Storage

As a large agricultural country, rice straw is a kind of inexhaustible and renewable resources in China. Since the rice straw is viscoelastic biological material with low density, it is not conducive to the transport and storage, and it affects the deep processing or secondary development and utilization. Due to the high compression ratio, on the other hand, straw densification briquetteing fuel (SDBF) is great convenience to transport and storage. Simultaneously, it improves the combustion properties of biomass fuels, and increases the efficiency in the use of biomass resources. It has an expansively developing prospects. Accordingly, how to effectively convert the loose rice straw into SDBF is gaining more and more attentions now. In this article, by researching the characteristics of the compressed rice straw fiber, biomass formation mechanism and its influence on shaping factors, the better conditions in processing of rice straw compression molding are concluded. Based on biomass compression molding technology, a kind of flat compression granulating machine was subsequently designed. And then we have designed compressed granulation molding trials on straw with different particle size and different pressures. Experimental results show that the granulation machinery can effectively reduce energy consumption, abrasion of equipment, and raise the productivity.

Vision, eye movements, and natural behavior

2009 ◽  
Vol 26 (1) ◽  
pp. 51-62 ◽  
Author(s):  
MICHAEL F. LAND
Keyword(s):  
Continuous Production ◽  
Gaze Shift ◽  
Natural Behavior ◽  
Individual Object ◽  
Single Action ◽  
The Gaze ◽  
Current Task ◽  
Task Irrelevant ◽  
And Storage ◽  
Cortical Representations

AbstractHistorically, the principal function of vision has been to provide the information needed to support action. Visually mediated actions rely on three systems: the gaze system responsible for locating and fixating task-relevant objects, the motor system of the limbs to carry out the task, and the visual system to supply information to the other two. All three systems are under the control of a fourth system, the schema system, which specifies the current task and plans the overall sequence of actions. These four systems have separate but interconnected cortical representations. The way these systems interact in time and space is discussed here in relation to two studies of the gaze changes and manipulations made during two ordinary food preparation tasks. The main conclusions are that complex action sequences consist of a succession of individual object-related actions, each of which typically involve a turn toward the object (if needed), followed by fixation and finally manipulation monitored by vision. Gaze often moves on to the next object just before manipulation is complete. Task-irrelevant objects are hardly ever fixated, implying that the control of fixation comes principally from top-down instructions from the schema system, not bottom-up salience. Single fixations have identifiable functions (locating, directing, guiding, and checking) related to the action to be taken. Several variants of the basic object-related action scheme are discussed, including single-action events in ball sports involving only one anticipatory gaze shift, continuous production loops in text and music reading, and storage–action alternation in copying tasks such as portrait sketching.

scholarly journals Latency-Classification-Based Deadline-Aware Task Offloading Algorithm in Mobile Edge Computing Environments

2019 ◽  
Vol 9 (21) ◽  
pp. 4696
Author(s):  
HeeSeok Choi ◽  
Heonchang Yu ◽  
EunYoung Lee
Keyword(s):  
Execution Time ◽  
Edge Computing ◽  
Experimental Result ◽  
Mobile Edge Computing ◽  
Cloud Server ◽  
Processing And Storage ◽  
Rapid Processing ◽  
And Storage ◽  
User Device ◽  
Task Offloading

In this study, we consider an edge cloud server in which a lightweight server is placed near a user device for the rapid processing and storage of large amounts of data. For the edge cloud server, we propose a latency classification algorithm based on deadlines and urgency levels (i.e., latency-sensitive and latency-tolerant). Furthermore, we design a task offloading algorithm to reduce the execution time of latency-sensitive tasks without violating deadlines. Unlike prior studies on task offloading or scheduling that have applied no deadlines or task-based deadlines, we focus on a comprehensive deadline-aware task scheduling scheme that performs task offloading by considering the real-time properties of latency-sensitive tasks. Specifically, when a task is offloaded to the edge cloud server due to a lack of resources on the user device, services could be provided without delay by offloading latency-tolerant tasks first, which are presumed to perform relatively important functions. When offloading a task, the type of the task, weight of the task, task size, estimated execution time, and offloading time are considered. By distributing and offloading latency-sensitive tasks as much as possible, the performance degradation of the system can be minimized. Based on experimental performance evaluations, we prove that our latency-based task offloading algorithm achieves a significant execution time reduction compared to previous solutions without incurring deadline violations. Unlike existing research, we applied delays with various network types in the MEC (mobile edge computing) environment for verification, and the experimental result was measured not only by the total response time but also by the cause of the task failure rate.

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