Smart resource allocation for improving QoE in IP Multimedia Subsystems

Cánovas, Alejandro; Taha, Miran; Lloret, Jaime; Tomás, Jaime Prohens

doi:10.1016/j.jnca.2017.12.020

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…Namun, dalam penggunaannya IMS masih berbasis hardware-dedicated dan hal ini menyebabkan pengguanaan IMS menjadi tidak efisien dikarenakan perlunya penggantian server IMS atau penambahan server akibat pengguna layanan yang semakin meningkat. Sehingga hal tersebut menyebabkan Capital Expenditure (CAPEX) atau pengeluaran operasional perusahaan membengkak setiap terjadi penambahan atau pergantian server IMS [1].…”

Section: Iunclassified

Anlisis QoS Open IMS Core berbasis Network Function Virtualization pada Protokol TCP

Nizam¹,

Pranindito²,

Ikhwan³

2019

jpit

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IP Multimedia Subsystem (IMS) is an NGN technology to convergence support of wireline and wireless networks with QoS guarantees. Therefore IMS is widely used by telecommunications operators. Increasing customers make operators overwhelmed by having to replace or add new devices to increase IMS capacity, which is less profitable for operators on the operational costs. The concept of Network Function Virtualization (NFV) is solve the problem. The concept changed of hardware-dedicated to software-dedicated in a virtual environment allows the NFV to be more flexible in increasing device capacity and can reduce dependence on hardware purchases. In this research IMS implemented using Open IMS Core and NFV infrastructure software using OpenStack. analysis based on QoS file transfer services and web servers by measuring parameters throughput, delay, jitter, and packet loss. Based on the measurement of QoS parameters obtained by traffic load of 0 Mbps, 10 Mbps, 20 Mbps, 30Mbps. The throughput average values on file transfer service are 0.2906 Mbit / s and 16.4366 Mbit / s on web server services. The delay average value on file transfer service is 25.5077 ms and 0.7708 ms on the web server service. The resulting jitter value is <1 ms. Percentage of packet loss is < 1%. Abstrak  IP Multimedia subsystem (IMS) merupakan teknologi NGN untuk mendukung konvergensi jaringan wireline dan wireless dengan jaminan QoS yang baik. Oleh karena itu IMS banyak digunakan oleh operator telekomunikasi. Semakin meningkatnya pelanggan membuat operator kewalahan karena harus mengganti atau menambah perangkat baru untuk meninggatkan kapasitas IMS, di mana hal ini kurang menguntungkan bagi operator pada sisi biaya operasional. Konsep Network Function Virtualization (NFV) menjadi jawaban untuk permasalahan ini. Dengan mengubah konsep hardware-dedicated menjadi software-dedicated pada lingkungan virtual memungkinkan NFV lebih fleksibel dalam peningkatan kapasitas perangkat dan dapat mengurangi ketergantungan pembelian hardware. Dalam penelitian ini diimplementasikan IMS menggunakan Open IMS Core dan software pembangun infrastruktur NFV menggunakan OpenStack. analisis berdasarkan QoS layanan file transfer dan web server dengan mengukur parameter throughput, delay, jitter, dan packet loss. Berdasarkan pengukuran parameter QoS didapatkan dengan beban trafik sebesar 0 Mbps, 10 Mbps, 20 Mbps, 30Mbps. Nilai throughput yang dihasilkan pada layanan file transfer rata-rata adalah 0.2906 Mbit/s dan 16.4366 Mbit/s pada layanan web server. Nilai delay yang dihasilkan pada layanan file transfer rata-rata adalah 25.5077 ms dan 0.7708 ms pada layanan web server. Nilai jitter yang dihasilkan < 1 ms. Prosentase packet loss <1%.

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Section: Iunclassified

Anlisis QoS Open IMS Core berbasis Network Function Virtualization pada Protokol TCP

Nizam¹,

Pranindito²,

Ikhwan³

2019

jpit

View full text Add to dashboard Cite

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“…However, previous cooperative recovery schemes did not take the hierarchical encoding structure of SVC into account, which may not lead to a significant gain to SVC-based video multicast. In other words, from the perspective of user's Quality-of-Experience (QoE) [14], simply boosting the transmission rate does not necessarily result in improvements in the user perception of the video quality [15].…”

Section: Introductionmentioning

confidence: 99%

Social-Aware Cooperative Video Distribution via SVC Streaming Multicast

Zhao

Wang

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Scalable Video Coding (SVC) streaming multicast is considered as a promising solution to cope with video traffic overload and multicast channel differences. To solve the challenge of delivering high-definition SVC streaming over burst-loss prone channels, we propose a social-aware cooperative SVC streaming multicast scheme. The proposed scheme is the first attempt to enable D2D cooperation for SVC streaming multicast to conquer the burst-loss, and one salient feature of it is that it takes fully into account the hierarchical encoding structure of SVC in scheduling cooperation. By using our scheme, users form groups to share video packets among each other to restore incomplete enhancement layers. Specifically, a cooperative group formation method is designed to stimulate effective cooperation, based on coalitional game theory; and an optimal D2D links scheduling scheme is devised to maximize the total decoded enhancement layers, based on potential game theory. Extensive simulations using real video traces corroborate that the proposed scheme leads to a significant gain on the received video quality.

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“…Mobile communication networks have become the main method of access to the Internet, which has significantly increased the number of mobile devices connected to the global network [1] Once the services offered by network operators tend to involve solutions completely based on IP protocol [2] and the communication sessions must be maintained along the user´s movement through networks, the IP mobility management is a factor of extreme impact for communication networks [3]. This aspect is essential for a great number of applications, including video streaming, and the evaluation of network parameters such as bandwidth, delay and packet loss [4] is of great importance for assessing the QoE of the end-users.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of a SDN-DMM Architecture

Cordova

Gondim

Lloret

et al. 2018

NPA

Self Cite

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Mobility management has become a great challenge due to the exponential growth in the number of devices that can connect to home or visited networks, and the need for providing seamless mobility in future generation networks. SDN-DMM (Software Defined Network Architecture for Distributed Mobility Management) architecture has been proposed [11], allowing to separate control and data planes, for the distributed mobility management through bidirectional IP flows. This article reports on aspects related to the implementation of SDN-DMM, conducted with metrics as packet loss, throughput and handover latency, considered in a comparison involving traditional routing and SDN-DMM. The results show the SDN approach not only provides the intrinsic benefits of SDN in comparison with traditional architectures, but also deals with the distributed mode of mobility management in heterogeneous access networks in a simplified and efficient way.

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Smart resource allocation for improving QoE in IP Multimedia Subsystems

Cited by 14 publications

References 22 publications

Anlisis QoS Open IMS Core berbasis Network Function Virtualization pada Protokol TCP

Anlisis QoS Open IMS Core berbasis Network Function Virtualization pada Protokol TCP

Social-Aware Cooperative Video Distribution via SVC Streaming Multicast

Experimental Evaluation of a SDN-DMM Architecture

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