A Novel Genetic Service Function Deployment Management Platform for Edge Computing

The various applications of the Internet of Things and the Internet of Vehicles impose high requirements on the network environment, such as bandwidth and delay. To meet low-latency requirements, the concept of mobile edge computing has been introduced. Through virtualisation technology, service providers can rent computation resources from the infrastructure of the network operator, whereas network operators can deploy all kinds of service functions (SFs) to the edge network to reduce network latency. However, how to appropriately deploy SFs to the edge of the network presents a problem. Apart from improving the network efficiency of edge computing service deployment, how to effectively reduce the cost of service deployment is also important to achieve a performance-cost balance. In this paper, we present a novel SF deployment management platform that allows users to dynamically deploy edge computing service applications with the lowest network latency and service deployment costs in edge computing network environments. We describe the platform design and system implementation in detail. The core platform component is an SF deployment simulator that allows users to compare various SF deployment strategies. We also design and implement a genetic algorithm-based service deployment algorithm for edge computing (GSDAE) in network environments. This method can reduce the average network latency for a client who accesses a certain service for multiple tenants that rent computing resources and subsequently reduce the associated SF deployment costs. We evaluate the proposed platform by conducting extensive experiments, and experiment results show that our platform has a practical use for the management and deployment of edge computing applications given its low latency and deployment costs not only in pure edge computing environments but also in mixed edge and cloud computing scenarios.

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A Novel Application of CWMP: An Operator-grade Management Platform for IoT

International Journal of Advances in Telecommunications Electrotechnics Signals and Systems ◽

10.11601/ijates.v5i3.224 ◽

2016 ◽

Vol 5 (3) ◽

pp. 171 ◽

Cited By ~ 1

Author(s):

Martin Stusek ◽

Pavel Masek ◽

Krystof Zeman ◽

Dominik Kovac ◽

Petr Cika ◽

...

Keyword(s):

Service Providers ◽

Smart Devices ◽

The Internet ◽

Software Module ◽

Public Network ◽

Novel Technologies ◽

Management Platform ◽

Efficient Management ◽

Application Potential ◽

Iot Devices

The aggressive expansion of emerging smart devices connected to the Internet infrastructure is nowadays considered as one of the most challenging components of the Internet of Things (IoT) vision. As a particular segment of IoT, the smart home gateways, also named Machine-Type Communication Gateway (MTCG), become an important direction for industry including telecommunication operators. In most cases, the MTCG acts as a bridge between connected smart objects and the public network (Internet). As a consequence of the IoT domain expansion, the separate configuration of each individual Machine-to-Machine (M2M) device is not feasible anymore due to steadily growing numbers of M2M nodes. To perform this task, several novel technologies have recently been introduced. However, legacy protocols and mechanisms for remote network management still retain a certain application potential for IoT. Accordingly, we have investigated the protocol TR-069 with a particular focus on its usability for MTCG. To this end, the software module (bundle) based on the TR-069 for remote configuration and management of MTCG, as well as for controlling the end smart devices, has been developed. We believe that our implementation (available as open source on GitHub) can serve as an important building block for efficient management of future IoT devices. Therefore, TR-069 protocol constitutes a proven and standardized technology and could be easily deployed by most of the network and service providers today. Authors would like to recall that this paper represents extended version of their previously published work at TSP 2016 conference.

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A Location-Aware Service Deployment Algorithm Based on K-Means for Cloudlets

Mobile Information Systems ◽

10.1155/2017/8342859 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Tyng-Yeu Liang ◽

You-Jie Li

Keyword(s):

Mobile Devices ◽

Service Providers ◽

Geographical Location ◽

Cloud Services ◽

Resource Exploitation ◽

Minimal Network ◽

Location Aware ◽

Service Deployment ◽

Network Latency ◽

Hand Off

Cloudlet recently was proposed to push data centers towards network edges for reducing the network latency of delivering cloud services to mobile devices. For the sake of user mobility, it is necessary to deploy and hand off services anytime anywhere for achieving the minimal network latency for users’ service requests. However, the cost of this solution usually is too high for service providers and is not effective for resource exploitation. To resolve this problem, we propose a location-aware service deployment algorithm based on K-means for cloudlets in this paper. Simply speaking, the proposed algorithm divides mobile devices into a number of device clusters according to the geographical location of mobile devices and then deploys service instances onto the edge cloud servers nearest to the centers of device clusters. Our performance evaluation has shown that the proposed algorithm can effectively reduce not only the network latency of edge cloud services but also the number of service instances used for satisfying the condition of tolerable network latency.

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PAPS: A Serverless Platform for Edge Computing Infrastructures

Frontiers in Sustainable Cities ◽

10.3389/frsc.2021.690660 ◽

2021 ◽

Vol 3 ◽

Author(s):

Luciano Baresi ◽

Giovanni Quattrocchi

Keyword(s):

Geographical Distribution ◽

Large Scale ◽

Service Providers ◽

Edge Computing ◽

Low Latency

Edge computing infrastructures are often employed to run applications with low latency requirements. Users can exploits nodes that are close to their physical positions so that the delay of sending computations and data to the Cloud is mitigated. Since users frequently change their locations, and the resources available in the Edge are limited, the management of these infrastructures poses new, difficult challenges. This paper presents PAPS (Partitioning, Allocation, Placement, and Scaling), a framework for the efficient, automated and scalable management of large-scale Edge topologies. PAPS acts as a serveless platform for the Edge. Service providers can upload applications as compositions of lightweight and stateless functions along with latency constraints. At runtime, PAPS manages these applications by executing them in containers, it changes their placement in the Edge topology according to the geographical distribution of the workload, and efficiently allocates resources according to their needs. This paper also presents the architecture of a PAPS prototype built atop Kubernetes and OpenFaaS. The assessment shows both the feasibility of the approach and the ability of efficiently managing hundreds of serverless concurrent functions and of dealing with intense and unpredictable workload variations.

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Architecture for Virtualization and Collaboration in Edge Computing: an implementation based on FIWARE building blocks

10.5753/sbrc.2020.12318 ◽

2020 ◽

Author(s):

Marcelo Pitanga Alves ◽

Flávia Coimbra Delicato ◽

Igor Leão Dos Santos ◽

Paulo F. Pires

Keyword(s):

Energy Efficiency ◽

Fault Tolerance ◽

Physical Environment ◽

Building Blocks ◽

End Users ◽

Edge Computing ◽

Data Sources ◽

Low Latency ◽

Iot Applications ◽

Network Latency

Edge Computing is a novel paradigm that allows moving the computation closer to the end-users and/or data sources. In this paper, we present a three-tier architecture for virtualization and collaboration of Virtual Nodes that leverages the Edge tier to meet those emerging IoT applications that demand requirements such as low latency, geo-localization, and energy efficiency. Besides the Edge tier, our implementation is based on the mix of lightweight virtualization and microservices using the building blocks from the FIWARE platform to interact with the physical environment. Furthermore, we presented two experiments to assess our architecture under severe and realistic conditions, regarding the network latency and fault-tolerance.

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Invisible Barriers: Identifying restrictions affecting New Zealanders' access to the Internet

10.26686/wgtn.17006518 ◽

2021 ◽

Author(s):

◽

Shadi Esnaashari

Keyword(s):

New Zealand ◽

Quantitative Analysis ◽

Qualitative Analysis ◽

Service Providers ◽

Narrow Range ◽

The Internet ◽

Access To Services ◽

Network Efficiency ◽

Internet Service ◽

Key Informants

<p>The Internet is an important technology worldwide. People use the Internet for research, communication, shopping, entertainment, etc. In addition to these benefits, the Internet provides access to dangerous or illegal material. Because of this, some content and services may be blocked by governments, Internet Service Providers, organizations, or individuals. This blocking, whether for security or for network efficiency, has significant effects on people’s access to services and information, which may not be considered when implementing restrictions. Although studies have been conducted on Internet blocking in many countries, no one has yet examined what is being blocked in New Zealand. In this thesis, we measured the prevalence of Internet blocking in New Zealand and the reasons leading to a decision to block access to websites or Internet services. Although several different tools existed, they could not be used directly because they either concentrated on a narrow range of services or did not work in an environment where some services they depended upon were blocked. For this reason, we developed our own tool called WCMT based on the issues identified from previous tools. We conducted our study using WCMT in order to identify blocked websites and services in our quantitative analysis, complemented by interviews with key informants in our qualitative analysis.</p>

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Invisible Barriers: Identifying restrictions affecting New Zealanders' access to the Internet

10.26686/wgtn.17006518.v1 ◽

2021 ◽

Author(s):

◽

Shadi Esnaashari

Keyword(s):

New Zealand ◽

Quantitative Analysis ◽

Qualitative Analysis ◽

Service Providers ◽

Narrow Range ◽

The Internet ◽

Access To Services ◽

Network Efficiency ◽

Internet Service ◽

Key Informants

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Cyberpolitik

ADALAH ◽

10.15408/adalah.v4i2.17927 ◽

2020 ◽

Vol 4 (2) ◽

Author(s):

Munadhil Abdul Muqsith

Keyword(s):

Political Communication ◽

Total Population ◽

Service Providers ◽

Mailing List ◽

The Internet ◽

Internet Service Providers ◽

Internet Service ◽

Internet Users ◽

Internet Media ◽

First Time

Abstract:The internet developed for the first time in Indonesia in the early 1990s. Starting from the pagayuban network, it is now expanding without boundaries anywhere. A survey conducted by the Indonesian Internet Service Providers Association (APJII) said that the number of internet users in Indonesia in 2012 reached 63 million people or 24.23 percent of the country's total population. Next year, that figure is predicted to increase by close to 30 percent to 82 million users and continue to grow to 107 million in 2014 and 139 million or 50 percent of the total population in 2015. million people. This matter also results in political communication with the internet media, or is often said to be cyber politics. Cyber politics in Indonesia has faced growth in recent years. There are many facilities that support the growth of cyber politics, such as Facebook, Twitter, mailing list, YouTube, and others.Keywords: Cyberpolitik, Internet Abstrak:Internet berkembang pertama kali di Indonesia pada awal tahun 1990-an. Diawali dari pagayuban network kini berkembang luas tanpa batas dimanapun juga. Suatu survei yang diselenggarakan Asosiasi Penyelenggara Jasa Internet Indonesia (APJII) mengatakan kalau jumlah pengguna internet di Indonesia tahun 2012 menggapai 63 juta orang ataupun 24,23 persen dari total populasi negeri ini. Tahun depan, angka itu diprediksi naik dekat 30 persen jadi 82 juta pengguna serta terus berkembang jadi 107 juta pada 2014 serta 139 juta ataupun 50 persen total populasi pada 2015. juta orang. Perihal ini pula berakibat pada komunikasi politik dengan media internet, ataupun kerap diucap dengan cyber politic. Cyber politic di Indonesia hadapi pertumbuhan sebagian tahun terakhir. Banyaknya fasilitas yang menunjang pertumbuhan cyber politic semacam terdapatnya facebook, Twitter, mailing list, youtobe, serta lain-lain.Kata Kunci: Cyberpolitik, Internet

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