Alokacija poslova u Internetu stvari

master's thesis

• Title (english): Internet of Things Task Allocations
• Author: Matea Tomeljak
• Mentor: Mario Kušek (mentor)
• Committee member: Mario Kušek (predsjednik povjerenstva)
• Committee member: Ivana Podnar Žarko (član povjerenstva)
• Committee member: Krešimir Pripužić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Ovaj rad opisuje okolinu Interneta stvari s naglaskom na usluge i važnost raspodjele poslova na uređaje pri dizajniranju isplativih i energetski učinkovitih rješenja i aplikacija za Internet stvari. Definira sustav za upravljanje uslugama te modele za komponente tog sustava.
Detaljno je opisan algoritam koji na temelju modela usluga, poslova i čvorova definira moguće alokacije poslova na dostupne čvorove, pri tome uzimajući u obzir sva ograničenja i pravila da bi se usluga mogla ispravno izvršavati. Algoritam je implementiran programskim sustavom s pripadajućom bazom podataka, a u radu je opisana unutarnja građa sustava. Algoritam je analiziran na temelju tri odabrane usluge Interneta stvari.

Abstract (english)

This thesis describes the environment of the Internet of Things with focus on services and the importance of allocating tasks on devices in the design of cost-effective and energy-efficient solutions and applications for the Internet of Things. It defines service management system and models for components of that system.

The thesis describes an algorithm which defines the possible task allocations to the available nodes based on the model of services, task and infrastructure nodes, thereby considering restrictions and rules in order to properly execute service. Implementation of the algorithm is software system with the corresponding database, and the thesis describes the internal structure of the system. The algorithm is analyzed over three selected Internet of Things services.

• Keywords: Internet stvari; raspoređivanje poslova; alokacija usluga; energetska učinkovitost
• Keywords (english): Internet of things; task allocation; service allocation; energy efficiency
• Language: croatian
• URN:NBN: urn:nbn:hr:168:698054
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 14:07:15