doctoral thesis
Application Programming Interfaces (APIs) Based Interoperability of Cloud Computing

Darko Andročec (2015)
Sveučilište u Zagrebu
Fakultet organizacije i informatike Varaždin
Metadata
TitleApplication Programming Interfaces (APIs) Based Interoperability of Cloud Computing
AuthorDarko Andročec
Mentor(s)Neven Vrček
Abstract
Cloud computing paradigm is accepted by an increasing number of organizations due to significant financial savings. On the other hand, there are some issues that hinder cloud adoption. One of the most important problems is the vendor lock-in and lack of interoperability as its outcome. The ability to move data and application from one cloud offer to another and to use resources of multiple clouds is very important for cloud consumers.The focus of this dissertation is on the interoperability of commercial providers of platform as a service. This cloud model was chosen due to many incompatibilities among vendors and lack of the existing solutions. The main aim of the dissertation is to identify and address interoperability issues of platform as a service. Automated data migration between different providers of platform as a service is also an objective of this study.The dissertation has the following main contributions: first, the detailed ontology of resources and remote API operations of providers of platform as a service was developed. This ontology was used to semantically annotate web services that connect to providers remote APIs and define mappings between PaaS providers. A tool that uses defined semantic web services and AI planning technique to detect and try to resolve found interoperability problems was developed. The automated migration of data between providers of platform as a service is presented. Finally, a methodology for the detection of platform interoperability problems was proposed and evaluated in use cases.
Parallel title (Croatian)Interoperabilnost uslužnog računarstva pomoću aplikacijskih programskih sučelja
Committee MembersAlen Lovrenčić (committee chairperson)
Neven Vrček (committee member)
Peep Küngas (committee member)
GranterSveučilište u Zagrebu
Fakultet organizacije i informatike Varaždin
PlaceVaraždin
StateCroatia
Scientific field, discipline, subdisciplineSOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
UDK004
GENERALLY
Computer science and technology. Computing. Data processing
Study programme typeuniversity
Study levelpostgraduate
Study programmePostgraduate doctoral study in Information Science
Academic title abbreviationdr.sc.
Genredoctoral thesis
Language English
Defense date2015-04-20
Parallel abstract (Croatian)
Zbog mogućnosti financijskih ušteda, sve veći broj poslovnih organizacija razmatra korištenje ili već koristi uslužno računarstvo. Međutim, postoje i problemi koji otežavaju primjenu ove nove paradigme. Jedan od najznačajnih problema je zaključavanje korisnika od strane pružatelja usluge i nedostatak interoperabilnosti. Za korisnike je jako važna mogućnost migracije podataka i aplikacija s jednog oblaka na drugi, te korištenje resursa od više pružatelja usluga.Fokus ove disertacije je interoperabilnost komercijalnih pružatelja platforme kao usluge. Ovaj model uslužnog računarstva je odabran zbog nekompatibilnosti različitih pružatelja usluge i nepostojanja postojećih rješenja. Glavni cilj disertacije je identifikacija i rješavanje problema interoperabilnosti platforme kao usluge. Automatizirana migracija podataka između različitih pružatelja platforme kao usluge je također jedan od ciljeva ovog istraživanja.Znanstveni doprinos ove disertacije je sljedeći: Najprije je razvijena detaljna ontologija resursa i operacija iz aplikacijskih programskih sučelja pružatelja platforme kao usluge. Spomenuta ontologija se koristi za semantičko označavanje web servisa koji pozivaju udaljene operacije aplikacijskih programskih sučelja pružatelja usluga, a sama ontologija definira i mapiranja između pružatelja platforme kao usluge. Također je razvijen alat koji otkriva i pokušava riješiti probleme interoperabilnosti korištenjem semantičkih web servisa i tehnika AI planiranja. Prikazana je i arhitektura za automatiziranu migraciju podataka između različitih pružatelja platforme kao usluge. Na kraju je predložena metodologija za otkrivanje problema interoperabilnosti koja je evaluirana pomoću slučajeva korištenja.
Parallel keywords (Croatian)Cloud interoperability cloud data portability platform as a service AI planning semantic web services ontology cloud APIs Interoperabilnost oblaka prenosivost podataka na oblacima platforma kao usluga AI planiranje semantički web servisi ontologija aplikacijska programska sučelja oblaka
Versionaccepted version
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
Noteaccepted version
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:211:065656
CommitterLjiljana Hajdin