A Nature-Inspired-Based Multi-objective Service Placement in Fog Computing Environment

Intelligent Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-981-33-6081-5_26 ◽

2021 ◽

pp. 293-304

Author(s):

Hemant Kumar Apat ◽

Kunal Bhaisare ◽

Bibhudatta Sahoo ◽

Prasenjit Maiti

Keyword(s):

Fog Computing ◽

Computing Environment ◽

Multi Objective ◽

Service Placement

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Adopting elitism-based Genetic Algorithm for minimizing multi-objective problems of IoT service placement in fog computing environment

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2020.102972 ◽

2021 ◽

pp. 102972

Author(s):

B.V. Natesha ◽

Ram Mohana Reddy Guddeti

Keyword(s):

Genetic Algorithm ◽

Fog Computing ◽

Computing Environment ◽

Multi Objective ◽

Service Placement

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Toward an autonomic approach for Internet of Things service placement using gray wolf optimization in the fog computing environment

Software Practice and Experience ◽

10.1002/spe.2986 ◽

2021 ◽

Author(s):

Mahboubeh Salimian ◽

Mostafa Ghobaei‐Arani ◽

Ali Shahidinejad

Keyword(s):

Internet Of Things ◽

Fog Computing ◽

Gray Wolf ◽

Computing Environment ◽

Service Placement

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Service Placement in Fog Computing Environment

2018 International Conference on Information Technology (ICIT) ◽

10.1109/icit.2018.00062 ◽

2018 ◽

Cited By ~ 1

Author(s):

Hemant Kumar Apat ◽

Bibhudatta Sahoo ◽

Prasenjit Maiti

Keyword(s):

Fog Computing ◽

Computing Environment ◽

Service Placement

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QoE-Based Multi-Criteria Decision Making for Resource Provisioning in Fog Computing Using AHP Technique

International Journal of Knowledge and Systems Science ◽

10.4018/ijkss.2020100102 ◽

2020 ◽

Vol 11 (4) ◽

pp. 17-30

Author(s):

Shefali Varshney ◽

Rajinder Sandhu ◽

P. K. Gupta

Keyword(s):

Fog Computing ◽

Resource Provisioning ◽

Computing Environment ◽

Network Bandwidth ◽

Service Placement ◽

Heterogeneous Nature ◽

User Expectations ◽

Iot Devices ◽

Fog Network ◽

Selection Of

Application placement in the fog environment is becoming one of the major challenges because of its distributed, hierarchical, and heterogeneous nature. Also, user expectations and various features of IoT devices further increase the complexity of the problem for the placement of applications in the fog computing environment. Therefore, to improve the QoE of various end-users for the use of various system services, proper placement of applications in the fog computing environment plays an important role. In this paper, the authors have proposed a service placement methodology for the fog computing environment. For a better selection of application services, AHP technique has been used which provides results in the form of ranks. The performance evaluation of the proposed technique has been done by using a customized testbed that considers the parameters like CPU cycle, storage, maximum latency, processing speed, and network bandwidth. Experimental results obtained for the proposed methodology improved the efficiency of the fog network.

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