Designing Overlay Networks for Decentralized Clouds

Tato, Genc; Bertier, Marin; Tedeschi, Cédric

doi:10.1109/cloudcom.2017.64

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Koala [134] proposed an overlay network for decentralized edge computing. Different from cloud computing, there is no controller in decentralized edge computing, so each node has a limited view of the network.…”

Section: B System Softwarementioning

confidence: 99%

Resource Management in Fog/Edge Computing

2019

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Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article reviews publications as early as 1991, with 85% of the publications between 2013-2018, to identify and classify the architectures, infrastructure, and underlying algorithms for managing resources in fog/edge computing.

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Section: B System Softwarementioning

confidence: 99%

Resource Management in Fog/Edge Computing

2019

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“…Kubernetes open source community is working towards a complete self-driving platform, aiming to simplify management and orchestration of scalable distributed systems across a wide range of environments and cloud providers for containerized applications. Kubernetes already provides orchestration features, which can be used to build reliable distributed systems with a high degree of decentralization in terms of the service life-cycle management, which is needed to fully leverage on Fog Computing architectures [31]. The proposed Fog-based Kubernetes architecture is shown in Figure 2.…”

Section: Fog-based Kubernetes Architecture For Smart City Deploymentsmentioning

confidence: 99%

Resource Provisioning in Fog Computing: From Theory to Practice †

Santos

Wauters

Volckaert

et al. 2019

Sensors

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The Internet-of-Things (IoT) and Smart Cities continue to expand at enormous rates. Centralized Cloud architectures cannot sustain the requirements imposed by IoT services. Enormous traffic demands and low latency constraints are among the strictest requirements, making cloud solutions impractical. As an answer, Fog Computing has been introduced to tackle this trend. However, only theoretical foundations have been established and the acceptance of its concepts is still in its early stages. Intelligent allocation decisions would provide proper resource provisioning in Fog environments. In this article, a Fog architecture based on Kubernetes, an open source container orchestration platform, is proposed to solve this challenge. Additionally, a network-aware scheduling approach for container-based applications in Smart City deployments has been implemented as an extension to the default scheduling mechanism available in Kubernetes. Last but not least, an optimization formulation for the IoT service problem has been validated as a container-based application in Kubernetes showing the full applicability of theoretical approaches in practical service deployments. Evaluations have been performed to compare the proposed approaches with the Kubernetes standard scheduling feature. Results show that the proposed approaches achieve reductions of 70% in terms of network latency when compared to the default scheduling mechanism.

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“…In order to address these challenges we have recently described Koala [25], a structured overlay network for efficient service localization which minimizes management traffic while providing locality-aware routing. While in [25] we present the key design features of Koala, the current paper presents Koala's architecture and algorithms and their validation through a comprehensive set of simulations.…”

Section: Introductionmentioning

confidence: 99%

Koala: Towards Lazy and Locality-Aware Overlays for Decentralized Clouds

Tato

Bertier

Tedeschi

2018

2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC)

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Current cloud computing infrastructures and their management are highly centralized, and therefore they suffer from limitations in terms of network latency, energy consumption, and possible legal restrictions. Decentralizing the Cloud has been recently proposed as an alternative. However, the efficient management of a geographically dispersed platform brings new challenges related to service localization, network utilization and locality-awareness. We here consider a cloud topology composed of many small datacenters geographically dispersed within the backbone network. In this paper, we present the design, development and experimental validation of Koala, a novel overlay network that specifically targets such a geographically distributed cloud platform. The three key characteristics of Koala are laziness, latencyawareness and topology-awareness. By using application traffic, Koala maintains the overlay lazily while it takes locality into account in each routing decision. Although Koala's performance depends on application traffic, through simulation experiments we show that for a uniformly distributed traffic, Koala delivers similar routing complexity and reduced latency compared to a traditional proactive protocol, such as Chord. Additionally, we show that despite its passive maintenance, Koala can appropriately deal with churn by keeping the number of routing failures low, without significantly degrading the routing performance. Finally, we show how such an overlay adapts to a decentralized cloud composed of multiple small datacenters.

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Designing Overlay Networks for Decentralized Clouds

Cited by 7 publications

References 24 publications

Resource Management in Fog/Edge Computing

Resource Management in Fog/Edge Computing

Resource Provisioning in Fog Computing: From Theory to Practice †

Koala: Towards Lazy and Locality-Aware Overlays for Decentralized Clouds

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