Performance Analysis of Object Store Systems in a Fog/Edge Computing Infrastructures

Confais, Bastien; Lèbre, Adrien; Parrein, Benoît

doi:10.1109/cloudcom.2016.0055

Cited by 26 publications

(15 citation statements)

References 18 publications

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“…The access time corresponds to the time to complete the operation from the client point of view. We highlight that we previously performed experiments using the Yahoo Cloud System Benchmark [17] with an IPFS module we developed [5]. However, YCSB adds several bias that prevent us to finely analyze the results.…”

Section: A Materials and Methodsmentioning

confidence: 99%

“…Although using Fog/Edge facilities to deliver more efficient storage repositories has been discussed as of 2012 [1], any solution has been proposed yet. We started to address this question in a preliminary study [5] with the ultimate goal of delivering a system similar to the Simple Storage Service (S3) of Amazon, a widely used service and a building block for hundred of Cloud services. The main contributions of this study were:…”

Section: Introductionmentioning

confidence: 99%

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An Object Store Service for a Fog/Edge Computing Infrastructure Based on IPFS and a Scale-Out NAS

Confais

Lèbre²,

Parrein³

2017

2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC)

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Fog and Edge Computing infrastructure have been proposed to address the latency issue of the current Cloud Computing platforms. While a couple of works illustrated the advantages of these infrastructures in particular for the Internet of Things (IoT) applications, elementary Cloud services that can take advantage of the geo-distribution of resources have not been proposed yet. In this paper, we propose a first-class object store service for Fog/Edge facilities. Our proposal is built with Scale-out Network Attached Storage systems (NAS) and IPFS, a BitTorrent-based object store spread throughout the Fog/Edge infrastructure. Without impacting the IPFS advantages particularly in terms of data mobility, the use of a Scale-out NAS on each site reduces the inter-site exchanges that are costly but mandatory for the meta-data management in the original IPFS implementation. Several experiments conducted on Grid'5000 testbed are analyzed and confirmed, first, the benefit of using an object store service spread at the Edge and secondly, the importance of mitigating inter-site accesses. The paper concludes by giving few directions to improve the performance and fault tolerance criteria of our Fog/Edge Object Store Service. Inter Micro DCs latency LCore [50ms-100ms] Edge Frontier Edge Frontier Extreme Edge Frontier Domestic network Enterprise network Wired link Wireless link Cloud Computing Micro/Nano DC Hybrid network Cloud Latency LCloud ≃ 100ms Edge to Fog latency LFog [10-100ms]

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Section: A Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Object Store Service for a Fog/Edge Computing Infrastructure Based on IPFS and a Scale-Out NAS

Confais

Lèbre²,

Parrein³

2017

2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC)

Self Cite

View full text Add to dashboard Cite

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“…According to the view point of a network operator, we propose to organize the envisioned infrastructure [11] around four levels of resources, as depicted in Figure 1. In the following, we refer to this platform as a Fog/Edge-based operator infrastructure.…”

Section: Target Infrastructure Specificsmentioning

confidence: 99%

A Holistic Monitoring Service for Fog/Edge Infrastructures: A Foresight Study

Abderrahim

Ouzzif

Jérôme

et al. 2017

2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud)

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Although academic and industry experts are now advocating for going from large-centralized Cloud Computing infrastructures to smaller ones massively distributed at the edge of the network, management systems to operate and use such infrastructures are still missing. In this paper, we focus on the monitoring service which is a key element to any management system in charge of operating a distributed infrastructure. Several solutions have been proposed in the past for cluster, grid and cloud systems. However, none is well appropriate to the Fog/Edge context. Our goal in this study, is to pave the way towards a holistic monitoring service for a Fog/Edge infrastructure hosting next generation digital services. The contributions of our work are: (i) the problem statement, (ii) a classification and a qualitative analysis of major existing solutions, and (iii) a preliminary discussion on the impact of the deployment strategy of functions composing the monitoring service.

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“…A good property for an object store working in a Fog infrastructure is to write objects locally [6]. Objects are stored on a node of the site the user writes and a mechanism such as a Distributed Hash Table (DHT), a gossip protocol or a hashing function is used to store the relation between each object's name and the location of its replicas [7]- [10].…”

Section: A Expected Properties For a Localisation Protocolmentioning

confidence: 99%

Data Location Management Protocol for Object Stores in a Fog Computing Infrastructure

Confais

Parrein

Lèbre

2019

IEEE Trans. Netw. Serv. Manage.

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Fog Computing infrastructures have been proposed as an alternative to Cloud Computing to provide low latency computing for the Internet of Things (IoT). But no storage solutions have been proposed to work specifically in this environment. Existing solutions, relying on a distributed hash table to locate the data, are not efficient because location record may be placed far away from the object replicas. In this paper, we propose to use a tree-based approach to locate the data, inspired by the Domain Name System (DNS) protocol. In our protocol, servers look for the location of an object by requesting successively their ancestors in a tree built with a modified version of the Dijkstra's algorithm applied to the physical topology. Location records are replicated close to the object replicas to limit the network traffic when requesting an object. We evaluate our approach on the Grid'5000 testbed using micro experiments with simple network topologies and a macro experiment using the topology of the French National Research and Education Network (RENATER). In this macro benchmark, we show that the time to locate an object in our approach is less than 15 ms on average which is around 20% shorter than using a traditional Distributed Hash Table (DHT).

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Performance Analysis of Object Store Systems in a Fog/Edge Computing Infrastructures

Cited by 26 publications

References 18 publications

An Object Store Service for a Fog/Edge Computing Infrastructure Based on IPFS and a Scale-Out NAS

An Object Store Service for a Fog/Edge Computing Infrastructure Based on IPFS and a Scale-Out NAS

A Holistic Monitoring Service for Fog/Edge Infrastructures: A Foresight Study

Data Location Management Protocol for Object Stores in a Fog Computing Infrastructure

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