Challenges and Solutions in Fog Computing Orchestration

Jiang, Yuxuan; Huang, Zhe; Tsang, Danny H. K.

doi:10.1109/mnet.2017.1700271

Cited by 91 publications

(60 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Providing an acceptable level of QoS is an important issue in FC. 30 Because of different features in FC, like heterogeneity, mobility, and distribution, some features of QoS in cloud computing are not applicable in FC. 21 One of the most important reasons for fog designing is backing real-time applications.…”

Section: Qos In Fog Computingmentioning

confidence: 99%

Quality of service‐aware approaches in fog computing

Kashani

Rahmani

Navimipour

2020

Int J Communication

View full text Add to dashboard Cite

Summary In recent years, fog computing, a novel paradigm, has emerged for location and latency‐sensitive applications. It is a powerful complement for cloud computing that enables provisioning services and resources outside the cloud near the end devices. In a fog system, the existence of several nonhomogenous devices, which are potentially mobile, led to quality of service (QoS) worries. QoS‐aware approaches are presented in various parts of the fog system, and several different QoS factors are taken into account. In spite of the importance of QoS in fog computing, no comprehensive study on QoS‐aware approaches exists in fog computing. Hence, this paper reviews the current research used to guarantee QoS in fog computing. This paper investigates the QoS‐ensuring techniques that fall into three categories: service/resource management, communication management, and application management (published between 2013 and October 2018). Regarding the selected approaches, this paper represents merits, demerits, tools, evaluation types, and QoS factors. Finally, on the basis of the reviewed studies, we suggest some open issues and challenges which are worth further studying and researching in QoS‐aware approaches in fog computing.

show abstract

Section: Qos In Fog Computingmentioning

confidence: 99%

Quality of service‐aware approaches in fog computing

Kashani

Rahmani

Navimipour

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…As can be observed in Figure 1, most of the efforts around orchestration have happened around the cloud [146] and its natural expansion to the edge, via the fog [78]. Classic VM scheduling has partially been combined with edge resource selection and serverless functions in the data centre.…”

Section: Recent Technological Trendsmentioning

confidence: 99%

“…They also allow for localised functions such as processing that benefit from p2p-style communications and exploiting nearby resources [41], exploiting data locality to obtain faster results. This is driven by the explosion in the number of connected devices and services, and the increasing demands of applications for low latency and interactive experiences [166,78]. Additionally, fog computing is facilitated by the availability of suitable hardware in the form of small, affordable, low-power computers [53], along with improvements in virtualisation technologies that enable slicing resources between different users to provide isolated environments.…”

Section: Edge and Fog Computingmentioning

confidence: 99%

See 1 more Smart Citation

Research challenges in nextgen service orchestration

Vaquero

Cuadrado

Elkhatib

et al. 2019

Future Generation Computer Systems

View full text Add to dashboard Cite

Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in modern Information Technology infrastructures. These technologies change the characteristics and capabilities of the underlying computational substrate where services run (e.g. higher volatility, scarcer computational power, or programmability). As a consequence, the nature of the services that can be run on them changes too (smaller codebases, more fragmented state, etc.). These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver a seamless user experience. Here, we present the challenges brought forward by this new breed of technologies and where current orchestration techniques stand with regards to the new challenges. We also present a set of promising technologies that can help tame this brave new world.

show abstract

“…Using the Fog for edge data processing and aggregation, [14] and [29] present platforms for orchestrating Fog workload. The research in [20] extends Fog computing to improve network resilience in Fog nodes and [38] does an extensive survey on edge computing for the IoT.…”

Section: Related Workmentioning

confidence: 99%

A Pub/Sub SDN-Integrated Framework for IoT Traffic Orchestration

Moraes

Martins

2019

Proceedings of the 3rd International Conference on Future Networks and Distributed Systems

View full text Add to dashboard Cite

The Internet of Things (IoT) is advancing and the adoption of internet-connected devices in everyday use is constantly growing. This increase not only affects the traffic from other sources in the network, but also the communication quality requirements, like Quality of Service (QoS), for the IoT devices and applications. With the rise of dynamic network management and dynamic network programming technologies like Software-Defined Networking (SDN), traffic management and communication quality requirements can be tailored to fit niche use cases and characteristics. We propose a publish/subscribe QoS-aware framework (PSIoT-SDN) that orchestrates IoT traffic and mediates the allocation of network resources between IoT data aggregators and pub/sub consumers. The PSIoT framework allows edge-level QoS control using the features of publish/ subscribe orchestrator at IoT aggregators and, in addition, allows network-level QoS control by incorporating SDN features coupled with a bandwidth allocation model for networkwide IoT traffic management. The integration of the framework with SDN allows it to dynamically react to bandwidth sharing enabled by the SDN controller, resulting in better bandwidth distribution and higher link utilization for IoT traffic.

show abstract

Challenges and Solutions in Fog Computing Orchestration

Cited by 91 publications

References 13 publications

Quality of service‐aware approaches in fog computing

Quality of service‐aware approaches in fog computing

Research challenges in nextgen service orchestration

A Pub/Sub SDN-Integrated Framework for IoT Traffic Orchestration

Contact Info

Product

Resources

About