Maintaining SmartX multi-view visibility for OF@TEIN plus distributed cloud-native edge boxes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F21%3A00139197" target="_blank" >RIV/00216224:14610/21:00139197 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/10.1002/ett.4101" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/ett.4101</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ett.4101" target="_blank" >10.1002/ett.4101</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Maintaining SmartX multi-view visibility for OF@TEIN plus distributed cloud-native edge boxes

Popis výsledku v původním jazyce

Maintaining knowledge of infrastructure has always been a key element to ensure the performance of complex distributed systems, being the first step to control quality of service, identify key performance bottlenecks, or make decisions about resource allocation and job scheduling, to name a few. In cloud-native edge boxes, edge computing leverages cloud-native applications to process/analyze some of their computing/storage own close to the location where the data is generated by a large number of heterogeneous devices. Some of the differences between this approach and more conventional architecture, like cloud are that in a distributed environment, these resources/applications have varying running conditions depending on resource availability, quality of network connection, and being geo-distributed. These aforementioned challenges in operations, however, contribute to a requirement toward identifying efficient methods for monitoring operational environment with continuity in order to maintain and sustain services. In this article, we present setup and configuration of distributed resources with cloud-native edge capabilities and having centralized connectivity in a specialized multi-site cloud testbed. Second, we propose a solution to persistently maintain multi-view (ie, resource-layer and flow layer) visibility data (monitoring) collection under varying situations and environments. Third, we present verification results on a prototype implementation and interactive visualization support. This solution allows maintaining monitoring visibility data that conform to the specific demands of cloud-native edge computing resources. We evaluate the research by maintaining visibility data of multi-site cloud at 14 research institutes for several months and we demonstrate that it fulfills the requirements we previously enumerated.

Název v anglickém jazyce

Maintaining SmartX multi-view visibility for OF@TEIN plus distributed cloud-native edge boxes

Popis výsledku anglicky

Maintaining knowledge of infrastructure has always been a key element to ensure the performance of complex distributed systems, being the first step to control quality of service, identify key performance bottlenecks, or make decisions about resource allocation and job scheduling, to name a few. In cloud-native edge boxes, edge computing leverages cloud-native applications to process/analyze some of their computing/storage own close to the location where the data is generated by a large number of heterogeneous devices. Some of the differences between this approach and more conventional architecture, like cloud are that in a distributed environment, these resources/applications have varying running conditions depending on resource availability, quality of network connection, and being geo-distributed. These aforementioned challenges in operations, however, contribute to a requirement toward identifying efficient methods for monitoring operational environment with continuity in order to maintain and sustain services. In this article, we present setup and configuration of distributed resources with cloud-native edge capabilities and having centralized connectivity in a specialized multi-site cloud testbed. Second, we propose a solution to persistently maintain multi-view (ie, resource-layer and flow layer) visibility data (monitoring) collection under varying situations and environments. Third, we present verification results on a prototype implementation and interactive visualization support. This solution allows maintaining monitoring visibility data that conform to the specific demands of cloud-native edge computing resources. We evaluate the research by maintaining visibility data of multi-site cloud at 14 research institutes for several months and we demonstrate that it fulfills the requirements we previously enumerated.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Transactions on Emerging Telecommunications Technologies

ISSN

2161-3915

e-ISSN

—

Svazek periodika

32

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

24

Strana od-do

1-24

Kód UT WoS článku

000566786300001

EID výsledku v databázi Scopus

2-s2.0-85090307933