Dergi makalesi Açık Erişim
Saovapakhiran, Boonyarith; Naruephiphat, Wibhada; Charnsripinyo, Chalermpol; Baydere, Sebnem; Ozdemir, Suat
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Naruephiphat, Wibhada</subfield> <subfield code="u">NSTDA, Natl Elect & Comp Technol Ctr, Pathum Thani 12120, Thailand</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Charnsripinyo, Chalermpol</subfield> <subfield code="u">NSTDA, Natl Elect & Comp Technol Ctr, Pathum Thani 12120, Thailand</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Baydere, Sebnem</subfield> <subfield code="u">Yeditepe Univ, Dept Comp Engn, TR-34755 Istanbul, Turkey</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Ozdemir, Suat</subfield> <subfield code="u">Hacettepe Univ, Dept Comp Engn, TR-06800 Ankara, Turkey</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="c">84579-84621</subfield> <subfield code="p">IEEE ACCESS</subfield> <subfield code="v">10</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Creative Commons Attribution</subfield> <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1109/ACCESS.2022.3197585</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Saovapakhiran, Boonyarith</subfield> <subfield code="u">NSTDA, Natl Elect & Comp Technol Ctr, Pathum Thani 12120, Thailand</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:aperta.ulakbim.gov.tr:259497</subfield> <subfield code="p">user-tubitak-destekli-proje-yayinlari</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="2">opendefinition.org</subfield> <subfield code="a">cc-by</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2022-01-01</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="u">https://aperta.ulakbim.gov.trrecord/259497/files/bib-4898eec9-38c2-4df9-bded-e352b1899104.txt</subfield> <subfield code="z">md5:ed560c41f049bac1add92ac7441d7fa6</subfield> <subfield code="s">212</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <controlfield tag="005">20230729095309.0</controlfield> <controlfield tag="001">259497</controlfield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a">Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging in the market and competing to offer their services. Many IoT applications utilize these services in an integrated manner with different Quality-of-Service (QoS) requirements. Thus, the provisioning of end-to-end QoS is getting more indispensable for IoT platforms. However, provisioning the system by using only QoS metrics without considering user experiences is not sufficient. Recently, Quality of Experience (QoE) model has become a promising approach to quantify actual user experiences of services. A holistic design approach that considers constraints of various QoS/QoE metrics together is needed to satisfy requirements of these applications and services. Besides, IoT services may operate in environments with limited resources. Therefore, effective management of services and system resources is essential for QoS/QoE support. This paper provides a comprehensive survey for the state-of-the-art studies on IoT services with QoS/QoE perspective. Our contributions are threefold: 1) QoE-driven architecture is demonstrated by classifying vital components according to QoE-related functions in prior studies; 2) QoE metrics and QoE optimization objectives are classified by corresponding system and resource control problems in the architecture; and 3) QoE-aware resource management e.g., QoE-aware offloading, placement and data caching policies with recent Machine Learning approaches are extensively reviewed.</subfield> </datafield> </record>
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