Resource Management in Fog/Edge Computing

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Network Virtualization and Edge/Fog Computing".

Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 3739

Special Issue Editors


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Guest Editor
Department of Computer Engineering, Miguel Hernandez University, Elche, Alicante, Spain
Interests: cloud/edge computing; distributed computing; computer networks

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Guest Editor
Faculty of Computer Science and Engineering, Ss Cyril and Methodius University, Skopje, North Macedonia
Interests: wireless ad hoc and sensor networks; system on chip design; parallel processing; complex systems and networks; distributed systems; orchestration; electromagnetic compatibility; social impact on information technologies

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Guest Editor
Department of Computer Science, School of Informatics, University of Malaga, Av. de Cervantes, 2, 29016 Málaga, Spain
Interests: service-oriented computing; cloud computing; software engineering; formal methods

Special Issue Information

Dear Colleagues,

Resource management in fog and edge computing is a research topic that has determinant impact on the performance of a cloud extension toward the end user. Technology developments have challenged the resource management community to search for more dynamic, smart, and agile solutions that help addressing leading research questions that integrates cloud functionality with edge and fog technologies, also in terms of resource allocation and management. In this Special Issue, we are interested in articles that show and demonstrate how resource management developments in fog and edge computing environments outperform the present state of the art.

For this Special Issue, we invite original research papers on new resource management proposals for fog/edge computing scenarios. Relevant topics include, but are not limited to:

- Cloud and edge networking architectures for large-scale deployments;

- Implementations of edge containerized resource management;

- Agile edge/fog service orchestration;

- Fog resource management proposals for IoT applications;

- Virtualized infrastructure management approaches for mobility;

- Smart edge/fog service management;

- Security-wise edge/fog resource management proposals;

- Artificial intelligence applied to resource management at the edge/fog;

- Performance analysis of edge/fog resource management proposals;

- Edge-related communication protocols.


Dr. Katja Gilly
Dr. Sonja Filiposka
Guest Editors

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Published Papers (1 paper)

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Research

12 pages, 425 KiB  
Article
Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator
by Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, Adrian Mihai and Theo Lynn
Future Internet 2021, 13(4), 83; https://doi.org/10.3390/fi13040083 - 24 Mar 2021
Cited by 5 | Viewed by 3240
Abstract
Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing systems worldwide. In this paper, we use [...] Read more.
Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing systems worldwide. In this paper, we use the RECAP Discrete Event Simulator (DES) simulator, an extension of CloudSimPlus, to model and evaluate the performance of a real-world cloud-based ES deployment by an Irish small and medium-sized enterprise (SME), Opening.io. Following simulation experiments that explored how much query traffic the existing Opening.io architecture could cater for before performance degradation, a revised architecture was proposed, adding a new virtual machine in order to dissolve the bottleneck. The simulation results suggest that the proposed improved architecture can handle significantly larger query traffic (about 71% more) than the current architecture used by Opening.io. The results also suggest that the RECAP DES simulator is suitable for simulating ES systems and can help companies to understand their infrastructure bottlenecks under various traffic scenarios and inform optimisation and scalability decisions. Full article
(This article belongs to the Special Issue Resource Management in Fog/Edge Computing)
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