An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing

Liang, Kai; Zhao, Liqiang; Chu, Xiaoli; Chen, Hsiao‐Hwa

doi:10.1109/mnet.2017.1600027nm

Cited by 93 publications

(44 citation statements)

References 13 publications

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“…OpenPipe [29] utilises Fog computing to implement NLV through a hybrid model, which consists of virtual Software Defined Network (SDN) controller (located in Cloud), virtual local controllers (located in Fog), virtual radio resources (for wireless communication) and virtual cloud server. The SDN controller is a global and intelligent module, which manages the entire network.…”

Section: Software Defined and Virtualized Radio Access Networkmentioning

confidence: 99%

Fog computing security: a review of current applications and security solutions

2017

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Fog computing is a new paradigm that extends the Cloud platform model by providing computing resources on the edges of a network. It can be described as a cloud-like platform having similar data, computation, storage and application services, but is fundamentally different in that it is decentralized. In addition, Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, Internet of Things (IoT) devices are required to quickly process a large amount of data. This wide range of functionality driven applications intensifies many security issues regarding data, virtualization, segregation, network, malware and monitoring. This paper surveys existing literature on Fog computing applications to identify common security gaps. Similar technologies like Edge computing, Cloudlets and Micro-data centres have also been included to provide a holistic review process. The majority of Fog applications are motivated by the desire for functionality and end-user requirements, while the security aspects are often ignored or considered as an afterthought. This paper also determines the impact of those security issues and possible solutions, providing future security-relevant directions to those responsible for designing, developing, and maintaining Fog systems.

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Section: Software Defined and Virtualized Radio Access Networkmentioning

confidence: 99%

Fog computing security: a review of current applications and security solutions

2017

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“…These have simplified infrastructure configuration for data centre servers, storage, as well as core and edge networks. As a result, the infrastructure is able to [127,81,17] [ 42,140,153,100,164,163,132,131,116,170,70,156,44,95,79,107] [ 106,53,46,166,128,64] adapt to the needs of the services that run on it, making the interplay between the services and the infrastructure more dynamic and complex.…”

Section: Introductionmentioning

confidence: 99%

“…Orchestration becomes even more challenging when different technologies are involved, requiring hybrid solutions that coordinate service provisioning and management taking into account the requirements and the particularities of each technology. While there has been some work [95,140,153] on hybrid orchestration of pairs of these technologies, there has been no attempt to comprehensively tackle all of them. The orchestration challenges that result from this hybridisation of technologies are, therefore, still not fully understood.…”

Section: Introductionmentioning

confidence: 99%

Research challenges in nextgen service orchestration

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Elkhatib

et al. 2019

Future Generation Computer Systems

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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.

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“…Fog computing at the edge can rapidly compute and organize small instance processes locally and move relevant ondemand processing data flow from the incident geographical location to core platforms such as Amazon Web Services [5]. Moreover, some SDN-enabled switches that are located geographically near to the users are played edge switches (nodes or Fog Nodes) to address small-size flows with limited response time SLAs and deliver high user Quality of Experiences (QoEs) like [6] and [7]. As a consequence, Fog Nodes are connected with virtualized SDN-enabled switches, which run atop servers or data centers at the edge of the access network.…”

Section: Introductionmentioning

confidence: 99%

Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN

et al. 2019

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Middleboxes have become a vital part of modern networks by providing services such as load balancing, optimization of network traffic, and content filtering. A sequence of middleboxes comprising a logical service is called a Service Function Chain (SFC). In this context, the main issues are to maintain an acceptable level of network path survivability and a fair allocation of the resource between different demands in the event of faults or failures. In this paper, we focus on the problems of traffic engineering, failure recovery, fault prevention, and SFC with reliability and energy consumption constraints in Software Defined Networks (SDN). These types of deployments use Fog computing as an emerging paradigm to manage the distributed small-size traffic flows passing through the SDN-enabled switches (possibly Fog Nodes). The main aim of this integration is to support service delivery in real-time, failure recovery, and fault-awareness in an SFC context. Firstly, we present an architecture for Failure Recovery and Fault Prevention called FRFP; this is a multi-tier structure in which the real-time traffic flows pass through SDN-enabled switches to jointly decrease the network side-effects of flow rerouting and energy consumption of the Fog Nodes. We then mathematically formulate an optimization problem called the Optimal Fog-Supported Energy-Aware SFC rerouting algorithm (OFES) and propose a near-optimal heuristic called Heuristic OFES (HFES) to solve the corresponding problem in polynomial time. In this way, the energy consumption and the reliability of the selected paths are optimized, while the Quality of Service (QoS) constraints are met and the network congestion is minimized. In a reliability context, the focus of this work is on fault prevention; however, since we use a reallocation technique, the proposed scheme can be used as a failure recovery scheme. We compare the performance of HFES and OFES in terms of power consumption, average path length, fault probability, network side-effects, link utilization, and Fog Node utilization. Additionally, we analyze the computational complexity of HFES. We use a real-world network topology to evaluate our algorithm. The simulation results show that the heuristic algorithm is applicable to large-scale networks.

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An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing

Cited by 93 publications

References 13 publications

Fog computing security: a review of current applications and security solutions

Fog computing security: a review of current applications and security solutions

Research challenges in nextgen service orchestration

Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN

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