Enabling Low-Latency Applications in Fog-Radio Access Networks

Shih, Yuan-Yao; Chung, Wei-Ho; Pang, Ai‐Chun; Chiu, Te-Chuan; Wei, Hung‐Yu

doi:10.1109/mnet.2016.1500279nm

Cited by 168 publications

(83 citation statements)

References 14 publications

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“…The goal is to positively modify human performance, e.g., for driving tasks [2], in the context of medical procedures [3,4] or for educational purposes [5]. The delivery of context-dependent network-delivered content to devices in near real time, however, represents a challenge and requires new paradigm considerations [6]. Facilitating the content distribution to these device types can follow multiple approaches, such as direct wired or wireless connectivity or proxification with cellular connected mobile phones [7].…”

Section: Introductionmentioning

confidence: 99%

Visual Interface Evaluation for Wearables Datasets: Predicting the Subjective Augmented Vision Image QoE and QoS

Bauman

Seeling

2017

Future Internet

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Abstract:As Augmented Reality (AR) applications become commonplace, the determination of a device operator's subjective Quality of Experience (QoE) in addition to objective Quality of Service (QoS) metrics gains importance. Human subject experimentation is common for QoE relationship determinations due to the subjective nature of the QoE. In AR scenarios, the overlay of displayed content with the real world adds to the complexity. We employ Electroencephalography (EEG) measurements as the solution to the inherent subjectivity and situationality of AR content display overlaid with the real world. Specifically, we evaluate prediction performance for traditional image display (AR) and spherical/immersive image display (SAR) for the QoE and underlying QoS levels. Our approach utilizing a four-position EEG wearable achieves high levels of accuracy. Our detailed evaluation of the available data indicates that less sensors would perform almost as well and could be integrated into future wearable devices. Additionally, we make our Visual Interface Evaluation for Wearables (VIEW) datasets from human subject experimentation publicly available and describe their utilization.

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Section: Introductionmentioning

confidence: 99%

Visual Interface Evaluation for Wearables Datasets: Predicting the Subjective Augmented Vision Image QoE and QoS

Bauman

Seeling

2017

Future Internet

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“…There is a significant number of researchers tackling this problem. [14][15][16] Unfortunately, there have been few proposals to resolve the joint optimization between the energy efficiency and the offload latency. 12,13 As mentioned in Section 1, our taxonomy consists of two main categories, ie, intrinsic and extrinsic approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Joint energy and latency optimization for upstream IoT offloading services in fog radio access networks

Dao

Jang

et al. 2018

Trans Emerging Tel Tech

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Recently, the emergence of fog computing and big internet of things (IoT) data have been considered as the main representatives identifying fifth‐generation mobile networks. In fifth generation, cloudization is extended from the core to the access tiers, referred to as fog radio access networks. Fog radio access networks provide ultralow latency offloading services to a massive number of IoT devices in their proximity. In this paper, we propose a joint energy and latency optimization (JELO) scheme for upstream IoT offloading services in fog radio access networks. The JELO scheme controls the offloaded task assignment among fog‐enabled eNodeBs (fog nodes) with strict consideration of the systematic resources and specific characteristics of individual tasks. The joint objective function aims at red optimizing the energy red consumption and offload latency for entire networks. Simulation results demonstrate that the JELO scheme outperforms existing approaches in terms of the energy consumption and load balancing while maintaining IoT service satisfaction.

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“…Due to the availability of the computing resources at the edge of the network, fog computing enables low latency and real time interaction between the user end devices and the fog nodes [7].…”

Section: Low Latency and Real Time Interactionsmentioning

confidence: 99%

Fog Computing and Its Role in the Internet of Things: Concept, Security and Privacy Issues

Saad¹

2018

IJCA

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The Internet has evolved in ways that we could never have imagined. In the beginning, advancements occurred slowly. Today, innovation and communication are happening at a remarkable rate. Now days, Internet has become the most important aspect of our life. Starting from desktop late 90s when one use to go to the device to resolve the problem to the era of smart devices early 20s when everybody carry the devices in its pocket to the new emerging era of internet of everything where we are going to connect each and every non connected device present on the planet.Even though cloud computing has played an efficient role in the computation and processing of these data, however, challenges, such as the security and privacy issues still cannot be resolved by using cloud computing. To overcome these limitations, the term fog computing has emerged to provide computing resources at the edge of the network. Fog computing is the extended version of cloud computing having the same data storage and computation capabilities but is fundamentally distributed in nature by providing services at the edge of the network.In this paper, I have given the brief description about the Fog computing, elaborate its complicated architecture, highlighted few feasible application and mentioned about the current security and privacy issues with the recommended security measures which we are going to face while deploying internet of things in to live environment.

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Enabling Low-Latency Applications in Fog-Radio Access Networks

Cited by 168 publications

References 14 publications

Visual Interface Evaluation for Wearables Datasets: Predicting the Subjective Augmented Vision Image QoE and QoS

Visual Interface Evaluation for Wearables Datasets: Predicting the Subjective Augmented Vision Image QoE and QoS

Joint energy and latency optimization for upstream IoT offloading services in fog radio access networks

Fog Computing and Its Role in the Internet of Things: Concept, Security and Privacy Issues

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