State-of-the-Art Data Replication Techniques in IoT-Based Sensor Systems

Qaim, Waleed Bin; Özkasap, Öznur

doi:10.1109/glocomw.2018.8644438

Cited by 2 publications

(1 citation statement)

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“…Therefore, in this paper, the FT technique, based on replication, is used on fog servers. Data replication has many benefits, including FT, and improves data availability at the same time, which increases system strength [24]. FT technique based on replication implies that data are replicated to numerous servers and, if one of the host servers fails, the data are processed successfully as long as there are other copies of the data on other servers [25].…”

Section: Fault Tolerancementioning

confidence: 99%

Dynamic Fault Tolerance Aware Scheduling for Healthcare System on Fog Computing

Rajab

Younis

2021

eijs

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Internet of Things (IoT) contributes to improve the quality of life as it supports many applications, especially healthcare systems. Data generated from IoT devices is sent to the Cloud Computing (CC) for processing and storage, despite the latency caused by the distance. Because of the revolution in IoT devices, data sent to CC has been increasing. As a result, another problem added to the latency was increasing congestion on the cloud network. Fog Computing (FC) was used to solve these problems because of its proximity to IoT devices, while filtering data is sent to the CC. FC is a middle layer located between IoT devices and the CC layer. Due to the massive data generated by IoT devices on FC, Dynamic Weighted Round Robin (DWRR) algorithm was used, which represents a load balancing (LB) algorithm that is applied to schedule and distributes data among fog servers by reading CPU and memory values of these servers in order to improve system performance. The results proved that DWRR algorithm provides high throughput which reaches 3290 req/sec at 919 users. A lot of research is concerned with distribution of workload by using LB techniques without paying much attention to Fault Tolerance (FT), which implies that the system continues to operate even when fault occurs. Therefore, we proposed a replication FT technique called primary-backup replication based on dynamic checkpoint interval on FC. Checkpoint was used to replicate new data from a primary server to a backup server dynamically by monitoring CPU values of primary fog server, so that checkpoint occurs only when the CPU value is larger than 0.2 to reduce overhead. The results showed that the execution time of data filtering process on the FC with a dynamic checkpoint is less than the time spent in the case of the static checkpoint that is independent on the CPU status.

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Section: Fault Tolerancementioning

confidence: 99%