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A service composition platform in cloud computing using mobile devices for smart shopping

The development of the Next Generation Networks (NGN) such as LTE, WiMax and 5G networks has resulted in the development of more diverse mobile services. Many voice and video services have been developed (e.g. Viber, Skype and WhatsApp). Social networking sites have also been developed (e.g. Faceboo...

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Main Author: Tsongoro, Lavender
Other Authors: Murgu, Alexandru
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2017
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access_status_str Open Access
author Tsongoro, Lavender
author2 Murgu, Alexandru
author_browse Murgu, Alexandru
Tsongoro, Lavender
author_facet Murgu, Alexandru
Tsongoro, Lavender
author_sort Tsongoro, Lavender
collection Thesis
description The development of the Next Generation Networks (NGN) such as LTE, WiMax and 5G networks has resulted in the development of more diverse mobile services. Many voice and video services have been developed (e.g. Viber, Skype and WhatsApp). Social networking sites have also been developed (e.g. Facebook, Instagram and Twitter). Users of these services are increasingly expecting and demanding more complex services which have more capabilities that can improve their day to day business. Users want services that are reliable, fast and easy to use. To effectively design and implement services, Service Oriented Architecture (SOA) principles are useful and some of the advantages of designing services using SOA principles are: • Improved interoperability; • Cross platform and cross application integration; • Reusability; • Service composition. Service composition has the advantage that customized services with more features can be developed by combining two or more basic services. In this research, SOA principles are used to design a cloud based Mobile Smart Shopping Service Platform. Canal Walk Shopping Mall, which is located in Cape Town, South Africa is used as a case study. Various mobile services are composed in order to solve the problem of getting information about the services provided by the shopping mall and also to show the available parking bays, which has become a major concern due to the rapid growth of the surrounding residential and business areas. Performance measurements for the Smart Shopping service are then conducted to test its power consumption, memory usage, bandwidth usage and application timeline. Conclusions are drawn and recommendations for possible future development are then provided.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:59.204Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
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publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/22868 A service composition platform in cloud computing using mobile devices for smart shopping Tsongoro, Lavender Murgu, Alexandru Electrical Engineering The development of the Next Generation Networks (NGN) such as LTE, WiMax and 5G networks has resulted in the development of more diverse mobile services. Many voice and video services have been developed (e.g. Viber, Skype and WhatsApp). Social networking sites have also been developed (e.g. Facebook, Instagram and Twitter). Users of these services are increasingly expecting and demanding more complex services which have more capabilities that can improve their day to day business. Users want services that are reliable, fast and easy to use. To effectively design and implement services, Service Oriented Architecture (SOA) principles are useful and some of the advantages of designing services using SOA principles are: • Improved interoperability; • Cross platform and cross application integration; • Reusability; • Service composition. Service composition has the advantage that customized services with more features can be developed by combining two or more basic services. In this research, SOA principles are used to design a cloud based Mobile Smart Shopping Service Platform. Canal Walk Shopping Mall, which is located in Cape Town, South Africa is used as a case study. Various mobile services are composed in order to solve the problem of getting information about the services provided by the shopping mall and also to show the available parking bays, which has become a major concern due to the rapid growth of the surrounding residential and business areas. Performance measurements for the Smart Shopping service are then conducted to test its power consumption, memory usage, bandwidth usage and application timeline. Conclusions are drawn and recommendations for possible future development are then provided. 2017-01-23T07:37:41Z 2017-01-23T07:37:41Z 2016 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/22868 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Tsongoro, Lavender
A service composition platform in cloud computing using mobile devices for smart shopping
thesis_degree_str Master's
title A service composition platform in cloud computing using mobile devices for smart shopping
title_full A service composition platform in cloud computing using mobile devices for smart shopping
title_fullStr A service composition platform in cloud computing using mobile devices for smart shopping
title_full_unstemmed A service composition platform in cloud computing using mobile devices for smart shopping
title_short A service composition platform in cloud computing using mobile devices for smart shopping
title_sort service composition platform in cloud computing using mobile devices for smart shopping
topic Electrical Engineering
url http://hdl.handle.net/11427/22868
work_keys_str_mv AT tsongorolavender aservicecompositionplatformincloudcomputingusingmobiledevicesforsmartshopping
AT tsongorolavender servicecompositionplatformincloudcomputingusingmobiledevicesforsmartshopping