Probabilistic QoS-aware Placement of VNF Chains at the Edge

Forti, Stefano; Paganelli, Federica; Brogi, Antonio

doi:10.1017/s1471068421000016

Cited by 12 publications

(3 citation statements)

References 45 publications

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“…Similarly to us, declarative techniques have been employed to resolve different Cloudrelated problems. There are proposals to manage Cloud resources (e.g., [43]), to improve network usage (e.g., [44]), to assess the security and trust levels of different application placements (e.g., [45]) and to securely place VNF chains and steer traffic across them (e.g., [46]).…”

Section: Declarative Approachesmentioning

confidence: 99%

Secure Partitioning of Cloud Applications, with Cost Look-Ahead

et al. 2023

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The security of Cloud applications is a major concern for application developers and operators. Protecting users’ data confidentiality requires methods to avoid leakage from vulnerable software and unreliable Cloud providers. Recently, trusted execution environments (TEEs) emerged in Cloud settings to isolate applications from the privileged access of Cloud providers. Such hardware-based technologies exploit separation kernels, which aim at safely isolating the software components of applications. In this article, we propose a methodology to determine safe partitionings of Cloud applications to be deployed on TEEs. Through a probabilistic cost model, we enable application operators to select the best trade-off partitioning in terms of future re-partitioning costs and the number of domains. To the best of our knowledge, no previous proposal exists addressing such a problem. We exploit information-flow security techniques to protect the data confidentiality of applications by relying on declarative methods to model applications and their data flow. The proposed solution is assessed by executing a proof-of-concept implementation that shows the relationship among the future partitioning costs, number of domains and execution times.

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Section: Declarative Approachesmentioning

confidence: 99%

Secure Partitioning of Cloud Applications, with Cost Look-Ahead

et al. 2023

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“…[39]) or to express and document management policies in centralised systems [40]. Only recently, few works exploited logic programming to incrementally determine eligible application placements in Fog scenarios [9], to place VNF chains and steer traffic across them [41], and to enable the assessment of the security and trust levels of different placements by means of algebraic structures [42]. From a different perspective, [43] employed a declarative approach to describe application requirements based on OpenTOSCA and to automatically deploy applications on different platforms.…”

Section: Related Workmentioning

confidence: 99%

Declarative Application Management in the Fog

et al. 2021

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Orchestrating next-gen applications over heterogeneous resources along the Cloud-IoT continuum calls for new strategies and tools to enable scalable and application-specific managements. Inspired by the self-organisation capabilities of bacteria colonies, we propose a declarative, fully decentralised application management solution, targeting pervasive opportunistic Cloud-IoT infrastructures. We present a customisable declarative implementation of the approach and validate its scalability through simulation over motivating scenarios, also considering end-user’s mobility and the possibility to enforce application-specific management policies for different (classes of) applications.

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“…Herden et al 50 ). More recently, declarative programming was fruitfully exploited to incrementally determine eligible application placements in Fog scenarios, 13 to place VNF chains and steer traffic across them, 51 and to enable the assessment of the security and trust levels of different placements 52 . From a different perspective, Harzenetter et al 53 employed a declarative approach to describe application requirements based on OpenTOSCA and to automatically deploy applications on different platforms.…”

Section: Related Workmentioning

confidence: 99%

Osmotic management of distributed complex systems: A declarative decentralised approach

Forti

Lera

Guerrero

et al. 2021

J Software Evolu Process

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Osmotic computing encompasses emerging Cloud‐Internet of Things (IoT) computing paradigms, by featuring the possibility for application services to adapt into different functionally equivalent flavours, depending on the contextually available resources and on specific requirements of running applications. This article proposes a fully decentralised declarative framework that enables both application and infrastructure operators to declare management policies for the service instances and the nodes they manage, respectively. Policies are composed of a simple and well‐defined set of management operations, declared in Prolog, which trigger based on locally available contextual information on application requests and infrastructure resources. A prototype implementation of the framework is showcased and assessed via simulation over a lifelike Smart Campus use case with multiple applications, at increasing infrastructure sizes and number of mobile users. Experimental results show that the proposed management framework scales to large infrastructure sizes and suits the needs of multiflavoured Osmotic applications in dynamic deployment conditions, by improving the trade‐off between their response times and suitable service usage.

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Probabilistic QoS-aware Placement of VNF Chains at the Edge

Cited by 12 publications

References 45 publications

Secure Partitioning of Cloud Applications, with Cost Look-Ahead

Secure Partitioning of Cloud Applications, with Cost Look-Ahead

Declarative Application Management in the Fog

Osmotic management of distributed complex systems: A declarative decentralised approach

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