Elevating the Edge to Be a Peer of the Cloud

Ramachandran, Umakishore; Gupta, Harshit; Hall, Adam James; Saurez, Enrique; Xu, Zhuangdi

doi:10.1109/cloud.2019.00016

Cited by 7 publications

(2 citation statements)

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“…Selimi et al [31] attack the problem from a bottom-up approach and propose a framework for placing cloud services in Community Networks. Ramachandran et al identified the challenges to provide a peer-to-peer standing for the Edge to the Cloud [29]. Departing from a real-world case of study, Beckman et al [17] diagnose the technical shortcomings to implement a solution; they consider Twister2 for data analytics and indicate the necessary implementations.…”

Section: Related Workmentioning

confidence: 99%

Colony: Parallel Functions as a Service on the Cloud-Edge Continuum

Lordan

Lezzi

Badía

2021

Euro-Par 2021: Parallel Processing

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Although smart devices markets are increasing their sales figures; their computing capabilities are not sufficient to provide goodenough-quality services. This paper proposes a solution to organize the devices within the Cloud-Edge Continuum in such a way that each one, as an autonomous individual -Agent-, processes events/data on its embedded compute resources while offering its computing capacity to the rest of the infrastructure in a Function-as-a-Service manner. Unlike other FaaS solutions, the described approach proposes to transparently convert the logic of such functions into task-based workflows backing on task-based programming models; thus, agents hosting the execution of the method generate the corresponding workflow and offloading part of the workload onto other agents to improve the overall service performance. On our prototype, the function-to-workflow transformation is performed by COMPSs; thus, developers can efficiently code applications of any of the three envisaged computing scenarios -sense-process-actuate, streaming and batch processing -throughout the whole Cloud-Edge Continuum without struggling with different frameworks specifically designed for each of them.

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Section: Related Workmentioning

confidence: 99%

Colony: Parallel Functions as a Service on the Cloud-Edge Continuum

Lordan

Lezzi

Badía

2021

Euro-Par 2021: Parallel Processing

View full text Add to dashboard Cite

show abstract

“…Often referred to as situation awareness applications [28], they span a variety of domains including safety (e.g., surveillance [3,35]), retail (e.g., drone delivery [2,34]), and transportation (e.g., assisted/autonomous driving [21,44]). Since many of these applications are latency sensitive and network bandwidth hungry [26] in addition to being geo-distributed, edge/fog computing [7,29] has emerged as a new trend in catering to their computational needs. Low-cost processing resources such as Rasperry Pis [10], and TPUs [12] are enabling justin-time processing of sensor streams close to their sources.…”

Section: Introductionmentioning

confidence: 99%