scholarly journals QoS Impacts of Slice Traffic Limitation

2021 ◽  
Vol 13 (2) ◽  
pp. 24-32
Author(s):  
Khalil Mebarkia ◽  
Zoltán Zsóka
Keyword(s):  
Theoretical Model ◽  
Building Block ◽  
Parameter Setting ◽  
5G Networks ◽  
Network Resources ◽  
Service Function ◽  
Network Load ◽  
Shared Network

Slicing is an essential building block of 5G networks and beyond. Different slices mean sets of traffic demands with different requirements, which need to be served over separated or shared network resources. Various service chaining methods applied to support slicing lead to different network load patterns, impacting the QoS experienced by the traffic. In this paper, we analyze QoS properties applying a theoretical model. We also suggest appropriate parameter setting policies in slice-aware service function chaining (SFC) algorithms to increase QoS. We evaluate several metrics in different analysis scenarios to show the advantages of the slice-aware approach.

Predictable Luminescence Performance of Polyphenylpyrazine Derivatives Based on Theoretical Model via Hole-Electron Overlap

2021 ◽  
Author(s):  
Juanjuan Luo ◽  
Haozhong Wu ◽  
Lu Liu ◽  
Zhiming Wang ◽  
Ben Zhong Tang
Keyword(s):  
Theoretical Model ◽  
Building Block ◽  
Photoelectric Properties ◽  
Via Hole ◽  
Luminescence Performance

Tetraphenylpyrazine (TPP), as a multi-rotor typed AIE building block with better electron-withdrawing ability, has attracted more attention due to unique photoelectric properties and wide applications of its derivatives. However, it...

Cloud-Based Platforms and Infrastructures

2017 ◽  
pp. 47-90
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Virtual Networks ◽  
Network Resources ◽  
Computing Services ◽  
Service Models ◽  
Cloud Computing Services ◽  
Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

Latency and Mobility-Aware Service Function Chain Placement in 5G Networks

2020 ◽  
pp. 1-1
Author(s):  
Davit Harutyunyan ◽  
Nashid Shahriar ◽  
Raouf Boutaba ◽  
Roberto Riggio
Keyword(s):  
5G Networks ◽  
Service Function ◽  
Service Function Chain

scholarly journals A Modified Wavenet-Based Link Status Predictor for Computer Networks

2013 ◽  
Vol 9 (2) ◽  
pp. 48-57
Author(s):  
Jassim Abdul-Jabbar ◽  
Omar Hazim
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Computer Network ◽  
Network Resources ◽  
Time Intervals ◽  
Efficient Manner ◽  
Link State ◽  
Local Characteristics ◽  
Network Load ◽  
Predicted Values

In this paper, a modified wavelet neural network (WNN) (or wavenet)-based predictor is introduced to predict link status (congestion with load indication) of each link in the computer network. On the contrary of previous wavenet-based predictors, the proposed modified wavenet-based link state predictor (MWBLSP) generates two indicating outputs for congestion and load status of each link based on the premeasured power burden (square values) of utilization on each link in the previous time intervals. Fortunately, WNNs possess all learning and generalization capabilities of traditional neural networks. In addition, the ability of such WNNs are efficiently enhanced by the local characteristics of wavelet functions to deal with sudden changes and burst network load. The use of power burden utilization at the predictor input supports some non-linear distributions of the predicted values in a more efficient manner. The proposed MWBLSP predictor can be used in the context of active congestion control and link load balancing techniques to improve the performance of all links in the network with best utilization of network resources.

scholarly journals An XML based Web Crawler with Page Revisit Policy and Updation in Local Repository of Search Engine

2018 ◽  
Vol 7 (3) ◽  
pp. 1119
Author(s):  
Jyoti Mor ◽  
Dr Dinesh Rai ◽  
Dr Naresh Kumar
Keyword(s):  
Search Engines ◽  
Quality Data ◽  
Web Pages ◽  
Large Collection ◽  
Web Crawler ◽  
Network Resources ◽  
High Quality Data ◽  
Remote Server ◽  
Web Crawlers ◽  
Shared Network

In a large collection of web pages, it is difficult for search engines to keep their online repository updated. Major search engines have hundreds of web crawlers that crawl the WWW day and night and send the downloaded web pages via a network to be stored in the search engine’s database. These results in over utilization of network resources like bandwidth, CPU cycles and so on. This paper proposes an architecture that tries to reduce the utilization of shared network resources with the help of an advanced XML based approach. This focused crawling based architecture is trained to download only the high quality data from the internet leaving behind the web pages which are not relevant to the desired domain. Here, a detailed layout of the proposed system is described which is capable of reducing the load on network and reducing the problem arise in residency of mobile agent at the remote server.  

Cloud-Based Platforms and Infrastructures

2019 ◽  
pp. 84-126
Author(s):  
Marcus Tanque
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Virtual Networks ◽  
Network Resources ◽  
Computing Services ◽  
Service Models ◽  
Cloud Computing Services ◽  
Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

Parallelism-aware Service Function Chaining and Embedding for 5G Networks

2021 ◽  
Author(s):  
Danyang Zheng ◽  
Chengzong Peng ◽  
Xueting Liao ◽  
Xiaojun Cao
Keyword(s):  
5G Networks ◽  
Service Function

scholarly journals METHOD FOR ORGANIZING MULTIPATH ROUTING IN SDN NETWORKS

2019 ◽  
pp. 18-28
Author(s):  
Oleksandr Kaliuzhnyi
Keyword(s):  
Comparative Analysis ◽  
Load Balancing ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Network Resources ◽  
Equal Distribution ◽  
Network Load ◽  
Optimal Load ◽  
Routing Method ◽  
Load Balancing Algorithm

In this work we propose a method for organizing multipath routing for SDN networks. It have two main parts. The fisrt one is a routing method based on modified wave algorithm for finding paths, and second one is load balancing method based on ECMP algorithm. Combination of these methods can optimize using of network resources and provide a more optimal load balancing of network. The basis of routing algorithm is the search and use partially-overlapping routes. The basis of load balancing algorithm is equal distribution network load between all found routes. A comparative analysis with an existing algorithms for routing and load balancing was conducted and the advantages of this development are presented.

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