An architecture for creating and managing virtual networks

Perez-Caparros, David; Vaishnavi, Ishan; Schmid, Stefan; Khan, Ashiq

doi:10.1109/pimrc.2013.6666658

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…The paper introduces an orchestration architecture that involves orchestrating functions at broker and physical infrastructure provider (PIP) level, see Figure 2. This architecture is compliant to those introduced in other related works, such as [14], [15]. The PIPs own the physical resources, pool them together and expose them as a service to virtual request owners (VROs) or any other entity that can add value and resell them further.…”

Section: Architecturementioning

confidence: 78%

An architecture for co-ordinated monitoring for multi-provider cloud platforms

Vaishnavi

Guerzoni

Beker

2014

2014 IEEE Globecom Workshops (GC Wkshps)

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In recent years there has been a considerable research surrounding multi-provider cloud platforms. Various architectures for realizing such systems have been proposed. However, most of this research has overlooked (or mentioned in passing) a vital aspect for the multi-provider deployment of platforms: the design of a monitoring systems to co-ordinate the monitoring systems in those platforms. This paper presents an architecture for a centralized monitoring system that coordinates the operation of individual domain-dependent monitoring systems. Our architecture enables the possibility for a global administrator to centrally define resource specific monitoring policies which can then be cascaded to the respective monitoring sub-systems. Owners of those sub-systems can also define their own policies based on the cascaded policies and their own requirements and preferences. We demonstrate with an example how this can be achieved within our innovative architecture.

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Section: Architecturementioning

confidence: 78%

An architecture for co-ordinated monitoring for multi-provider cloud platforms

Vaishnavi

Guerzoni

Beker

2014

2014 IEEE Globecom Workshops (GC Wkshps)

Self Cite

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“…It ensures that service requests from different domains are mapped into multi-operator and multi-technology domains while matching each service ELA requirements [255] . Perez-Caparros et al [270] was among the first to design the MdO use cases and its requirements. This was followed by several research works [271][272][273] that suggested where and how to place VNF in multi-domain architectures.…”

Section: Multi-domain Orchestration and Managementmentioning

confidence: 99%

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

et al. 2020

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a b s t r a c tThe increasing consumption of multimedia services and the demand of high-quality services from customers has triggered a fundamental change in how we administer networks in terms of abstraction, separation, and mapping of forwarding, control and management aspects of services. The industry and the academia are embracing 5G as the future network capable to support next generation vertical applications with different service requirements. To realize this vision in 5G network, the physical network has to be sliced into multiple isolated logical networks of varying sizes and structures which are dedicated to different types of services based on their requirements with different characteristics and requirements (e.g., a slice for massive IoT devices, smartphones or autonomous cars, etc.). Softwarization using Software-Defined Networking (SDN) and Network Function Virtualization (NFV)in 5G networks are expected to fill the void of programmable control and management of network resources.In this paper, we provide a comprehensive review and updated solutions related to 5G network slicing using SDN and NFV. Firstly, we present 5G service quality and business requirements followed by a description of 5G network softwarization and slicing paradigms including essential concepts, history and different use cases. Secondly, we provide a tutorial of 5G network slicing technology enablers including SDN, NFV, MEC, cloud/Fog computing, network hypervisors, virtual machines & containers. Thidly, we comprehensively survey different industrial initiatives and projects that are pushing forward the adoption of SDN and NFV in accelerating 5G network slicing. A comparison of various 5G architectural approaches in terms of practical implementations, technology adoptions and deployment strategies is presented. Moreover, we provide a discussion on various open source orchestrators and proof of concepts representing industrial contribution. The work also investigates the standardization efforts in 5G networks regarding network slicing and softwarization. Additionally, the article presents the management and orchestration of network slices in a single domain followed by a comprehensive survey of management and orchestration approaches in 5G network slicing across multiple domains while supporting multiple tenants. Furthermore, we highlight the future challenges and research directions regarding network softwarization and slicing using SDN and NFV in 5G networks.Crown (A .A . Barakabitze). tems [1,2,3] . The increasing number of smart devices (e.g., tablets and smartphones) and the growing number of bandwidth-hungry mobile applications (e.g., live video streaming, online video gaming) which demand higher spectral efficiency than that of 4G systems are posing significant challenges in 5G. The Cisco Visual Networking Index (VNI) Forecast [4] predicts that IP video traffic will be 82% of all consumer Internet traffic by 2022, up from 75% in 2017. Mobile video traffic alone will account for 78% of the global mobile data traffic. W...

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“…Langkah ini cukup efektif untuk mengatasi permasalahan terhentinya pelaksanaan pembelajaran, terutama pembelajaran master station SCADA. Namun demikian pembelajaran jarak jauh masih terkendala dengan tidak tersedianya fasilitas untuk pelaksanaan praktek oleh siswa untuk pembelajaran master station SCADA, dikarenakan siswa di remote area tidak [11].…”

Section: Pendahuluanunclassified

Multichannel Virtual Network Computing Untuk Pembelajaran Master Station Scada Dan Pengaruhnya Terhadap Kinerja Server Scada

Maulana

2020

Transmisi

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Kondisi New Normal di Indonesia menyebabkan metode pembelajaran berubah dari secara konvensional menjadi digital. Walaupun efektif untuk mengatasi terhentinya pembelajaran, namun demikian belum tersedia fasilitas untuk pelaksanaan praktek oleh siswa secara jarak jauh. Untuk mengatasi permasalahan ini maka diperlukan suatu metode agar siswa di remote area tetap dapat melakukan praktek dengan cara mengakses peralatan di laboratorium UPDL Semarang. Berdasarkan penelusuran di dunia praktis ditemukan adanya metode Virtual Network Computing yang memungkinkan client di remote area dapat mengakses secara jarak jauh dengan berbagai karakteristiknya. Bahkan pada operating system Solaris 10, yang merupakan operating system server SCADA, memiliki kemampuan untuk akses secara multichannel hingga 15 channel pada satu server. Dari hasil percobaan yang dilakukan, akses client dari remote area terhadap 15 channel VNC secara bersamaan berjalan dengan baik, dibuktikan dengan tampilan GUI SCADA yang tetap normal, semua client dapat bekerja pada server SCADA tanpa ada interupsi antara satu client dengan client yang lain, dan tidak terjadinya penurunan kinerja server SCADA secara signifikan. Dengan demikian metode praktek jarak jauh menggunakan multichannel VNC ini dapat diterapkan sebagai solusi pembelajaran praktek operasi dan pemeliharaan master station SCADA di UPDL Semarang, dan dapat dikembangkan secara korporat di PT PLN (Persero).

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An architecture for creating and managing virtual networks

Cited by 8 publications

References 14 publications

An architecture for co-ordinated monitoring for multi-provider cloud platforms

An architecture for co-ordinated monitoring for multi-provider cloud platforms

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

Multichannel Virtual Network Computing Untuk Pembelajaran Master Station Scada Dan Pengaruhnya Terhadap Kinerja Server Scada

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