A cost aware topology formation scheme for latency sensitive applications in edge infrastructure-as-a-service paradigm

Gauttam, Himanshu; Pattanaik, K. K.; Bhadauria, Saumya; Saxena, Divya; Sapna,

doi:10.1016/j.jnca.2021.103303

Cited by 16 publications

(4 citation statements)

References 31 publications

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Section: Related Workmentioning

confidence: 99%

“…In terms of approaches that make more detailed considerations regarding limited resources and connectivity issues, one could consider [2,37]. In [37], the authors proposed a scheme for optimal topology formation in edge deployment scenarios, minimizing the delay between IoT nodes and the assigned edge node while efficiently distributing workloads among nodes; this scheme had, as a side effect, a reduction in energy usage. Such a scheme, however, assumes that the workloads may be distributed among a set of edge nodes, which may communicate among each other and whose placement may vary in order to achieve the optimal placement.…”

Section: Related Workmentioning

confidence: 99%

“…References [35,36] may serve as a guiding thread in using Apache Kafka with Apache Storm, but do not qualify as a edge processing solution. For [37], the scheme was a valuable solution when planing and optimizing the placement of networks of IoT and edge nodes. However, the solution is not applicable to solutions where alternative placements are not a viable solution, that is uses cases where existing constraints limit the number, placement, and assignment of edge nodes.…”

Section: Related Workmentioning

confidence: 99%

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IRONEDGE: Stream Processing Architecture for Edge Applications

et al. 2023

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This paper presents IRONEDGE, an architectural framework that can be used in different edge Stream Processing solutions for “Smart Infrastructure” scenarios, on a case-by-case basis. The architectural framework identifies the common components that any such solution should implement and a generic processing pipeline. In particular, the framework is considered in the context of a study case regarding Internet of Things (IoT) devices to be attached to rolling stock in a railway. A lack of computation and storage resources available in edge devices and infrequent network connectivity are not often seen in the existing literature, but were considered in this paper. Two distinct implementations of IRONEDGE were considered and tested. One, identified as Apache Kafka with Kafka Connect (K0-WC), uses Kafka Connect to pass messages from MQ Telemetry Transport (MQTT) to Apache Kafka. The second scenario, identified as Apache Kafka with No Kafka Connect (K1-NC), allows Apache Storm to consume messages directly. When the data rate increased, K0-WC showed low throughput resulting from high losses, whereas K1-NC displayed an increase in throughput, but did not match the input rate for the Data Reports. The results showed that the framework can be used for defining new solutions for edge Stream Processing scenarios and identified a reference implementation for the considered study case. In future work, the authors propose to extend the evaluation of the architectural variation of K1-NC.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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IRONEDGE: Stream Processing Architecture for Edge Applications

et al. 2023

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“…The importance of latency for Internet services has been studied in a number of works ( Briscoe et al, 2016 ). In addition to technical impacts by Abdou & Oorschot (2017) , Gauttam et al (2022) and user experience by Sharad & Lorch (2009) , Demirci et al (2017) , latency has also had a great value in e-commerce ( Akamai, 2017 ).…”

Section: Related Workmentioning

confidence: 99%

General Internet service assessment by latency including partial measurements

Komosný¹

2022

PeerJ Computer Science

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Latency is one of the key parameters of Internet services. However, it is difficult to correctly assess a service by its latency. Many latency measurements are blocked en route by routers and firewalls. For this reason, the service latency is not fully known. This work proposes a method to assess Internet services including the blocked latency measurements. Survival theory is applied to process latency values. The results show that the omission of blocked latencies from statistical processing severely underestimates the service latency. Two Internet service providers were compared as an example. Their latency difference was 9 ms using the traditional approach. The survival latency resulted in a difference of 17 ms. The method of survival latency can be used to increase revenues in e-commerce and to improve the experience of online gaming.

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Stochastic model-driven capacity planning framework for multi-access edge computing

Shojaee

Yazdani

2022

Computing

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A cost aware topology formation scheme for latency sensitive applications in edge infrastructure-as-a-service paradigm

Cited by 16 publications

References 31 publications

IRONEDGE: Stream Processing Architecture for Edge Applications

IRONEDGE: Stream Processing Architecture for Edge Applications

General Internet service assessment by latency including partial measurements

Stochastic model-driven capacity planning framework for multi-access edge computing

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