Towards enabling hyper-responsive mobile apps through network edge assistance

Baguena, Miguel; Samaras, George; Pamboris, Andreas; Sichitiu, Mihail L.; Pietzuch, Peter; Manzoni, Pietro

doi:10.1109/ccnc.2016.7444813

Cited by 11 publications

(9 citation statements)

References 8 publications

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“…The first problem is partitioning a cloud workload for an edge node. In the context of edge nodes, there is limited research on partitioning servers suitably [35], instead of deploying duplicate servers [36]. The second problem is provisioning edge nodes and facilitating communication between the edge and the cloud servers.…”

Section: Related Workmentioning

confidence: 99%

ENORM: A Framework For Edge NOde Resource Management

Wang

Varghese

Matthaiou

et al. 2019

IEEE Trans. Serv. Comput.

144

136

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Current computing techniques using the cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This raises the need for fog computing, which leverages computing at the edge of the network on nodes, such as routers, base stations and switches, along with the cloud. However, to realise fog computing the challenge of managing edge nodes will need to be addressed. This paper is motivated to address the resource management challenge. We develop the first framework to manage edge nodes, namely the Edge NOde Resource Management (ENORM) framework. Mechanisms for provisioning and auto-scaling edge node resources are proposed. The feasibility of the framework is demonstrated on a Pok éMon Go-like online game use-case. The benefits of using ENORM are observed by reduced application latency between 20%-80% and reduced data transfer and communication frequency between the edge node and the cloud by up to 95%. These results highlight the potential of fog computing for improving the quality of service and experience.

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Section: Related Workmentioning

confidence: 99%

ENORM: A Framework For Edge NOde Resource Management

Wang

Varghese

Matthaiou

et al. 2019

IEEE Trans. Serv. Comput.

144

136

View full text Add to dashboard Cite

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“…The follow-me cloud concept [10] proposes an architecture that allows edge services to migrate in unison with the user's movement patterns. To date, research has been done on related challenges, for e.g., mobility-aware online service placement frameworks [12], [13], hybrid edge deployment models for sharing edge infrastructure at scale [14], and platforms for migrating software services across edge servers [15]. However, the challenge of migrating an application's disk state fast enough remains open.…”

Section: Related Work a Edge/fog Computingmentioning

confidence: 99%

FogFS: A Fog File System For Hyper-Responsive Mobile Applications

Pamboris¹,

Andreou²,

Polycarpou

et al. 2019

2019 16th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Hyper-responsive mobile applications, such as augmented reality and online games, require ultra-low latency access to back-end services and data at runtime. While fog computing tries to meet such latency requirements by placing corresponding back-end services and data closer to clients, for e.g., within an access network, assuming a fixed back-end server throughout execution is problematic due to user mobility. A more flexible approach is thus required to allow for adapting to changes in network conditions when users roam, by relocating back-end services and data to closer available infrastructure. Support for real-time migration of software services exists, however, migrating associated disk state remains a bottleneck. This paper presents FOGFS, a fog file system that employs intelligent snapshotting, migration and synchronization mechanisms to speed up the migration of an application's disk state between different edge locations at runtime. The experimental evaluation of our prototype implementation reveals that the attainable speed-up is as much as 3.3× compared to conventional migration approaches.

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“…Geography-aware: Online gaming application such as Pokemon request the services which are normally transferred to a cloud server from user devices. The ENORM framework segregates the game server and utilizes in an edge node instead of transmitting the entire traffic to data centers [113]. Geographically related data to a particular location is then made obtainable in an edge node.…”

Section: ) Partitioningmentioning

confidence: 99%