A survey on cost-effective context-aware distribution of social data streams over energy-efficient data centres

Kilanioti, Irene; Fernández-Montes, Alejandro; Fernández-Cerero, Damián; Mettouris, Christos; Nejković, Valentina; Bashroush, Rabih; Papadopoulos, George Α.

doi:10.1016/j.simpat.2018.11.004

Cited by 1 publication

(6 citation statements)

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“…Herein some basic terminology for the topic of our Case Study entitled "Delivering Social Media with Scalability" within the framework of High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) COST Action 1406 is introduced. The terminology appears in published works [111] and [108], as well.…”

Section: Social Data Streams Featuresmentioning

confidence: 99%

“…In the survey [108] we wrote in the framework of (cHiPSet) COST Action 1406 we identified the challenges of enabling better provisioning of social media data based on the context of users accessing these resources. In our works [109][110][111], that we produced in the framework of the Action, we came up with potential solutions addressing the problems of the area and described how these fit in the general ecosystem.…”

Section: Challenges For Distribution Of Social Data Streamsmentioning

confidence: 99%

“…We are not aware of surveys in the bibliography suggesting an holistic approach for the utilization of social data streams towards facilitation of content distribution decisions and social analysis tasks other than [108]. The diverse parameters we review in this work (modelling, simulation, performance evaluation) take into account low-level decisions and high-level considerations, including energy efficiency of employed data centers, in-memory keeping solutions and various network approaches for time-critical applications.…”

Section: Related Workmentioning

confidence: 99%

“…This section outlines the most predominant models for the depiction of the content/information diffusion process in a social network described in [108]. Most of the existent algorithmic solutions for content distribution are built on them, thus the assumption that content circulation over social data streams is depicted by one of them is of crucial importance for the suggested solutions.…”

Section: Content Diffusion Models For Social Data Streamsmentioning

confidence: 99%

“…This subsection provides a description of architectures, systems and techniques [108] for the distribution of social data content.…”

Section: Content Distribution For Social Data Streamsmentioning

confidence: 99%

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Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges

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Fernández-Cerero

et al. 2019

Lecture Notes in Computer Science

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This chapter presents the authors' work for the Case Study entitled "Delivering Social Media with Scalability" within the framework of High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) COST Action 1406. We identify some core research areas and give an outline of the publications we came up within the framework of the aforementioned action. The ease of user content generation within social media platforms, e.g. check-in information, multimedia data, etc., along with the proliferation of Global Positioning System (GPS)-enabled, always-connected capture devices lead to data streams of unprecedented amount and a radical change in information sharing. Social data streams raise a variety of practical challenges: derivation of real-time meaningful insights from effectively gathered social information, a paradigm shift for content distribution with the leverage of contextual data associated with user preferences, geographical characteristics and devices in general, etc. In this article we present the methodology we followed, the results of our work and the outline of a comprehensive survey, that depicts the state-of-the-art situation and organizes challenges concerning social media streams and the infrastructure of the data centers supporting the efficient access to data streams in terms of content distribution, data diffusion, data replication, energy efficiency and network infrastructure. The challenges of enabling better provisioning of social media data have been identified and they were based on the context of users accessing these resources. The existing literature has been systematized and the main research points and industrial efforts in the area were identified and analyzed. In our works, in the framework of the Action, we came up with

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Section: Social Data Streams Featuresmentioning

confidence: 99%