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Smart city article details
| Title | Optimization Of Task Offloading For Smart Cities Using Iot With Fog Computing- A Survey |
|---|---|
| ID_Doc | 40664 |
| Authors | Prasad C.R.; Sandeep Kumar V.; Rao P.R.; Kollem S.; Yalabaka S.; Samala S. |
| Year | 2022 |
| Published | 2022 International Conference on Signal and Information Processing, IConSIP 2022 |
| DOI | http://dx.doi.org/10.1109/ICoNSIP49665.2022.10007447 |
| Abstract | Internet of Things (IoT) enables the development of several applications to create a 'smart city' with enhanced safety, comfort, and, ultimately, quality of life. IoT possessing heavy data and need storage capacity due to implementation of heavy data applications processing. The affects cloud cause to unreliable latency and lack of storage support and also location awareness problems. Cloud is a distributing computing platform where cloud users connecting and accessing information anytime and from anywhere. As per load on cloud, the users delay in accessing web page loading from internet. Because of complexity of latency when accessing the internet. There are three reasons at first, cloud centers are situated far away from cloud users and second, latency occurs heavy workload by distributed access by cloud users. Third, cloud is executing on various virtual machines for heterogeneous work load. The introduction of Fog computing reduces the time it takes to access apps and reduces cloud latency. As a result, IoT apps can better respond to requests and provide better services. This study proposes a Survey on Task offloading of Fog Computing to reduce latency, maximize computation, storage capacity, and network bandwidth by utilizing nature inspired computing (NIC) methods. The objective this paper is effectively balancing of IoT applications load over fog nodes to minimize response time, minimize communication cost by applying NIC algorithms. This research intends to give a thorough literature assessment on offloading activities in IoT applications for smart city of fog computing using NIC methods. © 2022 IEEE. |
| Author Keywords | Fog computing; Internet of Things; Nature inspired computing; Optimization; Smart city; Task offloading |
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