Orchestration Security Challenges in the Fog Computing

Šatkauskas, Nerijus; Venčkauskas, Algimantas; Morkevičius, Nerijus; Liutkevičius, Agnius

doi:10.1007/978-3-030-59506-7_17

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…There are also concerns about interoperability, performance and service assurance, lifecycle management, scalability, security, and resilience, as identified in the review [11]. The paper [12] suggests that scalability, dynamics, and security are among the most common orchestration challenges which are specified in research papers.…”

Section: Introductionmentioning

confidence: 99%

Method for Dynamic Service Orchestration in Fog Computing

et al. 2021

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Fog computing is meant to deal with the problems which cloud computing cannot solve alone. As the fog is closer to a user, it can improve some very important QoS characteristics, such as a latency and availability. One of the challenges in the fog architecture is heterogeneous constrained devices and the dynamic nature of the end devices, which requires a dynamic service orchestration to provide an efficient service placement inside the fog nodes. An optimization method is needed to ensure the required level of QoS while requiring minimal resources from fog and end devices, thus ensuring the longest lifecycle of the whole IoT system. A two-stage multi-objective optimization method to find the best placement of services among available fog nodes is presented in this paper. A Pareto set of non-dominated possible service distributions is found using the integer multi-objective particle swarm optimization method. Then, the analytical hierarchy process is used to choose the best service distribution according to the application-specific judgment matrix. An illustrative scenario with experimental results is presented to demonstrate characteristics of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Method for Dynamic Service Orchestration in Fog Computing

et al. 2021

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Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

Ullah,

Kiss,

Kovács

et al. 2023

J Cloud Comp

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IoT systems are becoming an essential part of our environment. Smart cities, smart manufacturing, augmented reality, and self-driving cars are just some examples of the wide range of domains, where the applicability of such systems have been increasing rapidly. These IoT use cases often require simultaneous access to geographically distributed arrays of sensors, heterogeneous remote, local as well as multi-cloud computational resources. This gives birth to the extended Cloud-to-Things computing paradigm. The emergence of this new paradigm raised the quintessential need to extend the orchestration requirements (i.e., the automated deployment and run-time management) of applications from the centralised cloud-only environment to the entire spectrum of resources in the Cloud-to-Things continuum. In order to cope with this requirement, in the last few years, there has been a lot of attention to the development of orchestration systems in both industry and academic environments. This paper is an attempt to gather the research conducted in the orchestration for the Cloud-to-Things continuum landscape and to propose a detailed taxonomy, which is then used to critically review the landscape of existing research work. We finally discuss the key challenges that require further attention and also present a conceptual framework based on the conducted analysis.

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Orchestration Security Challenges in the Fog Computing

Cited by 2 publications

References 14 publications

Method for Dynamic Service Orchestration in Fog Computing

Method for Dynamic Service Orchestration in Fog Computing

Orchestration in the Cloud-to-Things compute continuum: taxonomy, survey and future directions

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