5G-Serv: Decoupling User Control and Network Control in the 3GPP 5G Network

2021 ◽  
Author(s):  
Meghna Khaturia ◽  
Akshatha Nayak Manjeshwar ◽  
Pranav Jha ◽  
Abhay Karandikar
Keyword(s):  
Network Control ◽  
User Control ◽  
5G Network

Quality Evaluation of Cloud and Fog Computing Services in 5G Networks

2019 ◽  
pp. 1-36 ◽  
Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski
Keyword(s):  
Network Performance ◽  
Fog Computing ◽  
High Mobility ◽  
Network Control ◽  
5G Networks ◽  
New Paradigm ◽  
Network Function ◽  
Computing Services ◽  
5G Network ◽  
Intelligent Networking

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.

Quality Evaluation of Cloud and Fog Computing Services in 5G Networks

2021 ◽  
pp. 1770-1805
Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski
Keyword(s):  
Network Performance ◽  
Fog Computing ◽  
High Mobility ◽  
Network Control ◽  
5G Networks ◽  
New Paradigm ◽  
Network Function ◽  
Computing Services ◽  
5G Network ◽  
Intelligent Networking

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.

Quality Evaluation of Cloud and Fog Computing Services in 5G Networks

2021 ◽  
pp. 240-275
Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski
Keyword(s):  
Network Performance ◽  
Fog Computing ◽  
High Mobility ◽  
Network Control ◽  
5G Networks ◽  
New Paradigm ◽  
Network Function ◽  
Computing Services ◽  
5G Network ◽  
Intelligent Networking

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.

The More Control, the Better?

2014 ◽  
Vol 26 (2) ◽  
pp. 81-91 ◽  
Author(s):  
Jeeyun Oh ◽  
Mun-Young Chung ◽  
Sangyong Han
Keyword(s):  
Mixed Design ◽  
Negative Effects ◽  
Story Structure ◽  
Content Type ◽  
High User ◽  
User Control ◽  
Rigorous Research ◽  
Control Versus ◽  
The Media ◽  
The Impact

Despite of the popularity of interactive movie trailers, rigorous research on one of the most apparent features of these interfaces – the level of user control – has been scarce. This study explored the effects of user control on users’ immersion and enjoyment of the movie trailers, moderated by the content type. We conducted a 2 (high user control versus low user control) × 2 (drama film trailer versus documentary film trailer) mixed-design factorial experiment. The results showed that the level of user control over movie trailer interfaces decreased users’ immersion when the trailer had an element of traditional story structure, such as a drama film trailer. Participants in the high user control condition answered that they were less fascinated with, absorbed in, focused on, mentally involved with, and emotionally affected by the movie trailer than participants in the low user control condition only with the drama movie trailer. The negative effects of user control on the level of immersion for the drama trailer translated into users’ enjoyment. The impact of user control over interfaces on immersion and enjoyment varies depending on the nature of the media content, which suggests a possible trade-off between the level of user control and entertainment outcomes.

HEURISTIC EVALUATION FOR MOBILE APPLICATION (STUDI KASUS: APLIKASI DEPO AUTO 2000 TANJUNG API API PALEMBANG)

2017 ◽  
Vol 8 (2) ◽  
pp. 563 ◽  
Author(s):  
Usman Ependi
Keyword(s):  
Real World ◽  
Mobile Application ◽  
Usability Testing ◽  
Heuristic Evaluation ◽  
End User ◽  
Error Prevention ◽  
The Real ◽  
User Control ◽  
Cosmetic Problem

Heuristic evaluation merupakan salah satu bentuk usability testing perangkat lunak yang dinilai oleh pengguna (evaluator). Dalam melakukan heuristic evaluation instrumen penilaian terdiri dari sepuluh (10) pernyataan dengan lima pilihan jawaban dalam skala severity ratings. Dalam penelitian ini heuristic evaluation terhadap aplikasi Depo Auto 2000 Tanjung Api-Api Palembang yang dilakukan oleh 4 evaluator.  Hasil dari heuristic evaluation dikelompokkan kedalam  masing-masing instrumen yaitu visibility of system status dengan nilai 0,75, match between system and the real world dengan nilai 0,25, user control and freedom dengan nilai 0,25, consistency and standards dengan nilai 0,75, error prevention dengan nilai 1, recognition rather than recall dengan nilai 1,25, flexibility and efficiency of use dengan nilai 0,25, Aesthetic and minimalist design dengan nilai 0,25, help users recognize, diagnose, and recover from errors dengan nilai 1 dan Help and documentation dengan nilai 0. Dari hasil heuristic evaluation yang dilakukan menunjukkan bahwa evaluator memberikan nilai 0 dan 1 aplikasi Depo Atuo 2000 Tanjung Api-Api Palembang. Hasil penilaian tersebut menunjukkan bahwa aplikasi yang buat tidak ada masalah usability dan hanya memiliki cosmetic problem sehingga aplikasi Depo Auto 2000 Tanjung Api Api Palembang  dapat dinyatakan layak untuk didistribusikan kepada pengguna akhir (end user). 

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