Razširljiv nadzor velikih oblačnih sistemov

Saje, Nejc (author), Ciglarič, Mojca (mentor)

Nadzor velikega oblačnega sistema lahko pomeni nadzirati na tisoče naprav, za- radi česar si operaterji podatkovnih centrov ne morejo privoščiti, da bi vse podatke zbirali in analizirali centralizirano. V sklopu magistrske naloge je bil razvit prototip porazdeljenega komunikacijskega in računskega sistema za nadzor oblačnih siste- mov, ki je razširljiv, visoko razpoložljiv in je osnovan na principih realnočasnega procesiranja podatkovnih tokov. V osnovi je prototip sistem tipa objavi/naroči, ko pa se akter naroči na podatke, ki še ne obstajajo, se zažene nov računski proces, ki računa in naročniku pošilja želene podatke. Z gnezdenjem računskih opera- cij in transformacij lahko podatke, ki jih računajo in objavljajo računski procesi, izračunamo le enkrat v celotnem sistemu, uporabimo pa v veliko različnih opera- cijah.

• Language: English
• Keywords: oblak, nadzor, skalabilnost, razširljivost, toleranca pri okvarah
• Work type: Master's thesis/paper
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2016
• PID: 20.500.12556/RUL-82804
• Publication date in RUL: 25.05.2016

SAJE, Nejc, 2016, Razširljiv nadzor velikih oblačnih sistemov [online]. Master’s thesis. [Accessed 17 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=82804

Secondary language

• Language: Slovenian
• Title: Scalable monitoring of large cloud systems

Abstract

Monitoring a large cloud can mean monitoring potentially thousands of ma- chines, so operators can not afford to gather and analyze the data in a centralized fashion. A prototype of a distributed communication and computation system for monitoring cloud systems has been developed, which is scalable, highly available, and based on real-time stream processing principles. In essence, it is a publish/- subscribe system, but when a subscription is made to a transformation of some data that is not being calculated yet, a new computation process is started that then provides the desired transformation. With nested transformations, data from an existing provider is reused, achieving that a certain computation on a piece of data is only ever performed once in the whole system.

• Keywords: cloud, monitoring, scalability, availability, fault tolerance