User mobility and resource scheduling and management in fog computing to support IoT devices
I tiakina i:
| I whakaputaina i: | The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2017), p. 191-196 |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , |
| I whakaputaina: |
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 1962318059 | ||
| 003 | UK-CbPIL | ||
| 035 | |a 1962318059 | ||
| 045 | 2 | |b d20170101 |b d20171231 | |
| 084 | |a 228229 |2 nlm | ||
| 100 | 1 | |a Name, Haruna Abdu Manis | |
| 245 | 1 | |a User mobility and resource scheduling and management in fog computing to support IoT devices | |
| 260 | |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |c 2017 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a Conference Title: 2017 Seventh International Conference on Innovative Computing Technology (INTECH) Conference Start Date: 2017, Aug. 16 Conference End Date: 2017, Aug. 18 Conference Location: Luton, United Kingdom Fog computing is a distributed computing infrastructure that is aimed towards providing supports for IoT devices and analytics. With the rapid increase in the number of ubiquitous network devices often referred to as IoT devices, new forms of mobility, resource allocation and management is imminent in Fog infrastructures since different applications have different requirements especially in terms of response time. Moreover, for some IoT devices application execution requests are forwarded to cloud data centers that are geographically distributed, through fog layer in which currently user mobility is not taken into consideration that leads to the increase in response time. On the other hand, data generation, processing and distribution can be handled at the network edges by fog layer which reduces network traffic that leads to low delay. This paper describes our research experience in addressing the problem of resource allocation and user mobility from the network edge up to the distributed cloud data centers. We propose an efficient algorithm that works with Seamless Handover Scheme for mobile IPV6 and suggest scheduling policies to alleviate the user mobility challenge in order to reduce the application response time. | |
| 653 | |a Data centers | ||
| 653 | |a Network management systems | ||
| 653 | |a Traffic delay | ||
| 653 | |a Electronic devices | ||
| 653 | |a Communications traffic | ||
| 653 | |a Cloud computing | ||
| 653 | |a Resource allocation | ||
| 653 | |a Resource scheduling | ||
| 653 | |a Response time | ||
| 653 | |a Resource management | ||
| 653 | |a Computer networks | ||
| 653 | |a Distributed processing | ||
| 653 | |a Geographical distribution | ||
| 653 | |a Computer centers | ||
| 653 | |a Mobility | ||
| 653 | |a IoT devices | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Oladipo, Francisca O | |
| 700 | 1 | |a Ariwa, Ezendu | |
| 773 | 0 | |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings |g (2017), p. 191-196 | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1962318059/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |