scholarly journals Video Pre-Caching Joint Hand-Off and Content Delivery in Multi-Access Edge Computing Based EONs

2021 ◽  
Author(s):  
Yutong Chai ◽  
Shan Yin ◽  
Lihao Liu ◽  
Liyou Jiang ◽  
Shanguo Huang
Keyword(s):  
Quality Of Service ◽  
High Mobility ◽  
Content Delivery ◽  
Edge Computing ◽  
The Other ◽  
Latency Time ◽  
Hand Off ◽  
Simulation Results ◽  
Multi Access

Multi-access Edge Computing (MEC) performs as a feasible solution when it comes to content delivery, for it can bring contents much closer to users. However, the hand-off (HO) and latency that occur in user movement reduce the users’ quality of service. In this work, we consider the problem of high mobility handoff and content delivery of video streaming in the MEC based EONs. We propose a video pre-caching algorithm considering handoff and content delivery. The algorithm firstly selects the content delivery method and chunks the video accordingly using a preset threshold. Secondly, the algorithm chooses the shortest transmission path and calculates the latency time using Dijkstra method. Simulation results show that our algorithm significantly reduces the latency time and balances the server load compared to the other two baselines.

scholarly journals Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Haowei Lin ◽  
Xiaolong Xu ◽  
Juan Zhao ◽  
Xinheng Wang
Keyword(s):  
Cloud Computing ◽  
Mobile Application ◽  
High Mobility ◽  
Edge Computing ◽  
The Other ◽  
Mobile Users ◽  
Computing Power ◽  
Service Migration ◽  
The Stability ◽  
Multi Access

Abstract The multi-access edge computing (MEC) has higher computing power and lower latency than user equipment and remote cloud computing, enabling the continuing emergence of new types of services and mobile application. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services’ migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high-mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the proposed mechanism can efficiently arrange service migrations and more quickly restore the services even in the blockage. On the other hand, the proposed algorithm is able to make a supplement to the existing algorithms for selecting MEC servers because it can better reflect the capability of migrated services.

scholarly journals Dynamic Service Migration in Ultra-Dense Multi-Access Edge Computing network for High Mobility Scenarios

2020 ◽  
Author(s):  
Haowei Lin ◽  
Xiaolong Xu ◽  
Juan Zhao ◽  
Xinheng Wang
Keyword(s):  
Cloud Computing ◽  
Mobile Applications ◽  
High Mobility ◽  
Edge Computing ◽  
The Other ◽  
Mobile Users ◽  
Computing Power ◽  
Service Migration ◽  
The Stability ◽  
Multi Access

Abstract The Multi-Access Edge Computing (MEC) has higher computing power than user equipment and lower latency than remote cloud computing, making new types of services and mobile applications keep emerging. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services' migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the Infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the proposed mechanism can efficiently arrange service migrations and more quickly restore the services even in the blockage. On the other hand, the proposed algorithm is able to make a supplement to the existing algorithms for selecting MEC servers because it can better reflect the capability of migrated services.

scholarly journals Task Migration Based on Reinforcement Learning in Vehicular Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Sungwon Moon ◽  
Jaesung Park ◽  
Yujin Lim
Keyword(s):  
Quality Of Service ◽  
Reinforcement Learning ◽  
Load Balancing ◽  
Learning Algorithm ◽  
High Mobility ◽  
Edge Computing ◽  
Task Completion ◽  
Task Migration ◽  
Delay Constraints

Multiaccess edge computing (MEC) has emerged as a promising technology for time-sensitive and computation-intensive tasks. With the high mobility of users, especially in a vehicular environment, computational task migration between vehicular edge computing servers (VECSs) has become one of the most critical challenges in guaranteeing quality of service (QoS) requirements. If the vehicle’s tasks unequally migrate to specific VECSs, the performance can degrade in terms of latency and quality of service. Therefore, in this study, we define a computational task migration problem for balancing the loads of VECSs and minimizing migration costs. To solve this problem, we adopt a reinforcement learning algorithm in a cooperative VECS group environment that can collaborate with VECSs in the group. The objective of this study is to optimize load balancing and migration cost while satisfying the delay constraints of the computation task of vehicles. Simulations are performed to evaluate the performance of the proposed algorithm. The results show that compared to other algorithms, the proposed algorithm achieves approximately 20–40% better load balancing and approximately 13–28% higher task completion rate within the delay constraints.

scholarly journals On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1400
Author(s):  
Muhammad Adnan ◽  
Jawaid Iqbal ◽  
Abdul Waheed ◽  
Noor Ul Amin ◽  
Mahdi Zareei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Scheduling Algorithm ◽  
Main Research ◽  
First Come First Serve ◽  
Computing Framework ◽  
Simulation Results

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework CloudSim toolkit. The simulation results of safety messages show better performance than non-safety messages in terms of execution time.

scholarly journals Comparison of Multicast Algorithm Evaluation Results in Low and High Multicast Saturation Environments

2019 ◽  
Vol 3 ◽  
pp. 3-7
Author(s):  
Krzysztof Stachowiak ◽  
Piotr Zwierzykowski
Keyword(s):  
Quality Of Service ◽  
Computational Complexity ◽  
Optimization Methods ◽  
The Other ◽  
Ongoing Research ◽  
Mathematical Problems ◽  
Point To Point ◽  
Difficult Challenge ◽  
Entire Network

The multicast quality of service-enabled routing is a computationally challenging task. Despite ongoing research efforts, the associated mathematical problems are still considered to be NP-hard. In certain applications, computational complexity of finding the optimal connection between a set of network devices may be a particularly difficult challenge. For example, connecting a small group of participants of a teleconference is not much more complex than setting up a set of mutual point-to-point connections. On the other hand, satisfying the demand for such services as IPTV, with their receivers constituting the majority of the network, requires applying appropriate optimization methods in order to ensure real system execution. In this paper, algorithms solving this class of problems are considered. The notion of multicast saturation is introduced to measure the amount of multicast participants relative to the entire network, and the efficiency of the analyzed algorithms is evaluated for different saturation degrees.

scholarly journals The Relationship between the Number of Emergency Room Patient Visits with Triage Accuracy and Emergency Nurse Response Time in the Covid 19 Pandemic Season

2021 ◽  
Vol 3 (1) ◽  
pp. 21-24
Author(s):  
Ali Humardani ◽  
Yuly Peristiowati ◽  
Agusta D. Ellina
Keyword(s):  
Quality Of Service ◽  
Response Time ◽  
Search Strategy ◽  
The Other ◽  
Bleeding Control ◽  
Electronic Database ◽  
Standard Operating ◽  
The Relationship ◽  
Spine Control

Handling emergency cases must not only be carried out quickly but also must be precise. Standard Operating Procedures (SOP) is one of the instruments to measure the quality of service. the number of patient visits that can affect the quality of service. Triage is a way of sorting patients based on therapy needs and available resources. Therapy is based on ABC conditions (Airway, with cervical spine control, Breathing, and Circulation with bleeding control). On the other hand, the COVID-19 pandemic greatly affects the response time, impacting the number of patient visits. Response time is the time between the beginning of a request being responded to in other words it can be called response time. A good response time for patients is 5 minutes. The purpose of this study was to identify the relationship between the number of patient visits and the accuracy of triage implementation and response time. The electronic database used is PubMed, Springer, and Google Scholar with a search strategy using the PICO (patient, intervention, comparison, and outcome) method.

scholarly journals Introducing a Mobility Access Category for IEEE 802.11e

2020 ◽  
Vol 9 (5) ◽  
pp. 1610-1614
Keyword(s):  
Quality Of Service ◽  
Wireless Network ◽  
Ieee 802.11E ◽  
Network Simulator ◽  
Mobile Nodes ◽  
Mobile Stations ◽  
Simulation Scenario ◽  
Simulation Results ◽  
The Impact

With traffic increase in a wireless network beyond its capacity and as the number of connected devices continue to grow, the quality of service (QoS) degrades. In this paper we study the impact of mobility on throughput in the case of an infrastructure wireless network using IEEE 802.11 Wi-Fi standard. Since we found in the literature that the mobility of stations can have an impact on the quality of service, we try to remedy to this by implementing a new access category reserved for mobile stations. First we compare the throughput between static and mobile nodes, both connected to a QoS station. Then we propose our new model that consists of adding a new access category used by mobile nodes regardless of their traffic category. The study was made by simulating different scenarios using Network Simulator-3 (NS-3). We found that the throughput may vary depending on the simulation scenario. The simulation results show that with the proposed solution the mobile nodes can have a better throughput.

Jio-Bharti Airtel Data War and Strategy

2018 ◽  
pp. 171-179
Author(s):  
Anil Kumar ◽  
Mohan Balaji ◽  
Ujjwal Krishna ◽  
Mohit Yadav
Keyword(s):  
Quality Of Service ◽  
Regulatory Authority ◽  
The Other ◽  
Complete Understanding ◽  
Secondary Sources ◽  
The Difference

The chapter examines various viewpoints in regards to Reliance Jio and Bharti Airtel. This includes the entry of Jio in the telecom space along with the difference in the market Jio bought right after its introduction of the services for public. The focus area for the research has been the secondary sources. A complete understanding of both these companies has been taken into account for this study to pick up the points that both Jio and Bharti have been lacking upon and areas in which one has surpassed the other by attracting a new set of consumers into their family. The chapter as recorded by the facts presented through the Telecom Regulatory Authority of India Analytics Portal witnessed that Jio proved to have an upper hand in terms of the quality of service, which included data speed and tariffs. The other side of the story shows Bharti Airtel's lack of dominance in 4G experience delivery after Jio's entrance.

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