Intent-Based Placement of Microservices in Computing Continuums

Spillner, Josef; Borin, Juliana Freitag; Bittencourt, Luiz F.

doi:10.1007/978-3-030-92435-5_3

Cited by 5 publications

(8 citation statements)

References 13 publications

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“…Some studies are based on the Cloud-Edge Continuum concept. In this approach, the orchestrator must be able to handle the microservices along the Continuum [15,26]. The authors in [26] and [25] introduce some of the main challenges that an orchestrator in the Continuum must be aware of: i) communication delay through a public network.…”

Section: Rq2 -What Are the Fundamental Microservices Characteristics ...mentioning

confidence: 99%

“…In this approach, the orchestrator must be able to handle the microservices along the Continuum [15,26]. The authors in [26] and [25] introduce some of the main challenges that an orchestrator in the Continuum must be aware of: i) communication delay through a public network. Hence, it requires a map between Edge and Cloud to define routes among nodes properly; ii) Establish a wellknown resource policy to avoid node bottlenecks or even waste.…”

Section: Rq2 -What Are the Fundamental Microservices Characteristics ...mentioning

confidence: 99%

“…However, several authors argue that specific microservice orchestrators are necessary to handle the dynamicity of this environment. That would generate more robust and flexible microservice architectures for Edge Computing [24][25][26].…”

mentioning

confidence: 99%

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Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review

Castro¹,

Rigo²

2023

Preprint

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Context: Microservices running and being powered by Edge Computing have been gaining much attention in the industry and academia. Since 2014, when Martin Fowler popularized the Microservice term, many studies have been published relating these subjects to explore how the Edge's low-latency feature could be combined with the high throughput of the distributed paradigm from Microservices. Objective: Identifying how Microservices work together with Edge Computing whereas they take advantage when running on Edge. Method: In order to better understand this relationship, we first identified its key concepts, which are: architecture approaches and features, microservice composition (orchestration/choreography), and offloading. Afterward, we conducted a Systematic Literature Review (SLR) as the survey method. Results: We reviewed 111 selected studies and built a taxonomy of Microservices on Edge Computing demonstrating their current architecture approaches and features, composition, and offloading modes. Moreover, we identify the research gaps and trends. Conclusion: This paper is a step forward to help researchers and professionals get a general overview of how Microservices and Edge have been related in the last years. It also discusses gaps and research trends. This SLR will also be a good introduction for new researchers in Edge and Microservices.

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Section: Rq2 -What Are the Fundamental Microservices Characteristics ...mentioning

confidence: 99%

Section: Rq2 -What Are the Fundamental Microservices Characteristics ...mentioning

confidence: 99%

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Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review

Castro¹,

Rigo²

2023

Preprint

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“…Comparison of the application state with the desired state is applied to evaluate whether adjustments are required during runtime. Novel approaches also arise regarding the declarative control of distributed applications over resources in the continuum [7]. In this case, the development of translation mechanisms becomes more challenging, since it is crucial to consider different ways of modeling of compute resources in the various parts of the continuum.…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…This shift in focus allows for more efficient management of workloads and resources in a way that is aligned with the goals and objectives of the application. Towards this direction, intent-driven orchestration mechanisms are emerging [6], [7]. Intent-driven orchestration mechanisms are a type of automation technology that enable the dynamic allocation and management of computing and networking resources based on the declared intent or goals of an application or service.…”

Section: Introductionmentioning

confidence: 99%

Intent-Driven Distributed Applications Management Over Compute and Network Resources in the Computing Continuum

Zafeiropoulos,

Fotopoulou,

Vassilakis

et al. 2023

2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)

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Intent-driven orchestration enables organizations to achieve greater automation, integration, and intelligence of their compute and network resources by defining their objectives and policies in a more abstract and holistic way, and letting the orchestration system handle the coordination, optimization, and adaptation of the resources in response to changing needs and conditions. The trend for the development of intent-driven orchestration mechanisms has been growing in recent years as the deployment of distributed applications in the computing continuum has become more complex and diverse. In this manuscript we detail a novel approach for the management of distributed applications in the computing continuum. An hierarchical decision making scheme is proposed where an entity in a specific level of the hierarchy has the responsibility for management of the overall application or a part of it, without having the control of all the management actions. The control is distributed across various entities that have to collaborate towards some joint objectives. Both compute and network resources management is considered that can be provided by the same or different infrastructure providers.

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Intent-driven orchestration of serverless applications in the computing continuum

Filinis,

Tzanettis,

Spatharakis

et al. 2024

Future Generation Computer Systems

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Intent-Based Placement of Microservices in Computing Continuums

Cited by 5 publications

References 13 publications

Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review

Relating Edge Computing and Microservices by means of Architecture Approaches and Features, Orchestration, Choreography, and Offloading: A Systematic Literature Review

Intent-Driven Distributed Applications Management Over Compute and Network Resources in the Computing Continuum

Intent-driven orchestration of serverless applications in the computing continuum

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