The Study of Web Service Discovery: A Clustering and Differential Evolution Algorithm Approach

Huang, Zhao Hui; Zhao, Wei

doi:10.1109/hpcc/smartcity/dss.2019.00367

Cited by 1 publication

(1 citation statement)

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“…It is an open issue, and a solution could be the use of dedicated machines on clustering. For example, web service discovery current trends in clustering [ 54 , 55 ] are focused on effectively narrowing down the searching scope. Clustering techniques could be applied to decentralize the discovery service and to avoid single point failures in future.…”

Section: Discussionmentioning

confidence: 99%

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker service and supports regular expressions (Regex) in message scope to discern both publishing patterns offered by data providers and client services necessities. Results compare Control Process Unit (CPU) usage in a request–response and datacentric configuration and analyze both regex interpreter latency times compared with a traditional message structure as well as its impact on CPU and memory consumption.

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Section: Discussionmentioning

confidence: 99%