dc.contributor.advisor | Körpeoğlu, İbrahim | |
dc.contributor.author | Karataş, Fırat | |
dc.date.accessioned | 2019-09-26T11:07:19Z | |
dc.date.available | 2019-09-26T11:07:19Z | |
dc.date.copyright | 2019-09 | |
dc.date.issued | 2019-09 | |
dc.date.submitted | 2019-09-25 | |
dc.identifier.uri | http://hdl.handle.net/11693/52495 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description | Thesis (Ph.D.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2019. | en_US |
dc.description | Includes bibliographical references (leaves 110-118). | en_US |
dc.description.abstract | Technological advancements keep making machines, devices, and appliances
faster, more capable, and more connected to each other. The network of all
interconnected smart devices is called Internet of Things (IoT). It is envisioned
that there will be billions of interconnected IoT devices producing and consuming
petabytes of data that may be needed by multiple IoT applications. This brings
challenges to store and process such a large amount of data in an efficient and
effective way. Cloud computing and its extension to the network edge, fog computing,
emerge as new technology alternatives to tackle some of these challenges
in transporting, storing, and processing petabytes of IoT data in an efficient and
effective manner.
In this thesis, we propose a geographically distributed hierarchical cloud and
fog computing based IoT storage and processing architecture, and propose techniques
for placing IoT data into its components, i.e., cloud and fog data centers.
Data is considered in different types and each type of data may be needed by
multiple applications. Considering this fact, we generate feasible and realistic
network models for a large-scale distributed storage architecture, and propose algorithms
for efficient and effective placement of data generated and consumed by
large number of geographically distributed IoT nodes. Data used by multiple applications
is stored only once in a location that is easily accessed by applications
needing that type of data. We performed extensive simulation experiments to
evaluate our proposal. The results show that our network architecture and placement
techniques can be used to store IoT data efficiently while providing reduced
latency for IoT applications without increasing network bandwidth consumed. | en_US |
dc.description.statementofresponsibility | by Fırat Karataş | en_US |
dc.format.extent | xiii, 118 leaves : illustrations (some color), charts (some color) ; 30 cm. | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Internet of things | en_US |
dc.subject | Fog computing | en_US |
dc.subject | Data placement | en_US |
dc.subject | Cloud computing | en_US |
dc.subject | Network topology | en_US |
dc.subject | Data management | en_US |
dc.title | Hybrid fog-cloud based data distribution for internet of things applications | en_US |
dc.title.alternative | Nesnelerin interneti uygulamaları için hibrit sis-bulut tabanlı veri dağıtımı | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | Ph.D. | en_US |
dc.identifier.itemid | B155086 | |