Multiple and replicated random walkers analysis for service discovery in fog computing IoT environments

With the rise in fog computing, users are no longer restricted to only accessing resources located in central and distant clouds and can request services from neighboring fog nodes distributed over networks. This can effectively reduce the network latency of service responses and the load of data centers. Furthermore, it can prevent the Internet’s bandwidth from being used up due to massive data flows from end users to clouds. However, fog-computing resources are distributed over multiple levels of networks and are managed by different owners. Consequently, the problem of service discovery becomes quite complicated. For resolving this problem, a decentralized service discovery method is required. Accordingly, this research proposes a service discovery framework based on the distributed ledger technology of IOTA. The proposed framework enables clients to directly search for service nodes through any node in the IOTA Mainnet to achieve the goals of public access and high availability and avoid network attacks to distributed hash tables that are popularly used for service discovery. Moreover, clients can obtain more comprehensive information by visiting known nodes and select a fog node able to provide services with the shortest latency. Our experimental results have shown that the proposed framework is cost-effective for distributed service discovery due to the advantages of IOTA. On the other hand, it can indeed enable clients to obtain higher service quality by automatic node selection.

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Proactive Service Discovery in Fog Computing Using Mobile Ad Hoc Social Network in Proximity

2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) ◽

10.1109/ithings-greencom-cpscom-smartdata.2016.126 ◽

2016 ◽

Cited By ~ 5

Author(s):

Sander Soo ◽

Chii Chang ◽

Satish Narayana Srirama

Keyword(s):

Social Network ◽

Service Discovery ◽

Ad Hoc ◽

Fog Computing ◽

Mobile Ad Hoc

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Evaluation of Performance of Cloud of Things (CoT) for Transferring Multimedia and Bulk-set Data

Journal of Ubiquitous Computing and Communication Technologies - December 2019 ◽

10.36548/jucct.2021.1.001 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1-9

Author(s):

Vivekanadam B

Keyword(s):

Data Storage ◽

Service Discovery ◽

Service Management ◽

Fog Computing ◽

Future Internet ◽

Management Service ◽

Diverse Range ◽

Bulk Data ◽

Smart Gateway ◽

Novel Concept

As the number of context-aware and unique data extracting and computing has grown leaps and bounds, paving way to their application in many platforms, Internet of Things (IoT) has gained a lot of importance in recent years. Using IoT, it is possible to connect any number of objects and in any context, giving rise to a diverse range of services. Hence power management, data storage, service discovery, service management, service creation and resource management need a more sophisticated mechanism and a better infrastructure. However, a single IoT that is power-constrained will not be able to tackle all the data that is generated. Hence cloud computing plays a crucial role by integrating with the IoT in such a way that the future internet and envisioned IoT is achievable. There are a number of challenges involved of which data trimming is common challenge. Due to unnecessary communication, the data this sent to the cloud may be interrupted. Hence to prevent this, data is initially preprocessed following which it is trimmed and then transferred to the cloud. This aspect of data processing can be carried out through Fog Computing or Smart Network that serves as a smart gateway. In this paper, we have introduced a novel concept Fog computing as the smart gateway. The results have been analysed and tested with respect to bulk-data synchronizstion Delay, bulk-data upload delay, jitter, synchronization delay and upload delay.

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