Latency and network aware placement for cloud-native 5G/6G services

Kaur, Kiranpreet; Guillemin, Fabrice; Rodriguez, Veronica Quintuna; Sailhan, Françoise

doi:10.1109/ccnc49033.2022.9700582

Cited by 14 publications

(12 citation statements)

References 13 publications

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“…Integer linear programming (ILP) [22][23][24][25][26][27] Mixed integer linear programming (MILP) [28][29][30][31][32][33] Heuristic method 23,24,26,27,29,[31][32][33] Machine learning (ML) [34][35][36][37][38] Instead, heuristics (e.g., greedy algorithms) and meta-heuristics produce comparatively faster but suboptimal results that usually achieve less objectives (e.g., low response time or reduced communication delay or load balancing or limited energy consumption). On the other hand, ML-based approaches (e.g., genetic algorithm and ant colony) are known to be more accurate solutions 34 thanks to their interactive learning and decision making abilities.…”

Section: Methods Referencementioning

confidence: 99%

“…On the other hand, MLbased approaches (e.g., genetic algorithm, ant colony) are known to be more accurate solutions [33] thanks to their interactive learning and decision making abilities. [21][22][23][24][25][26] Mixed Interger Linear Programming (MILP) [27][28][29][30][31][32] Heuristic Method [22,23,25,26,28,[30][31][32]] Machine Learning (ML) [33][34][35][36][37] As detailed in Table 2, the above container placement strategies can be further categorized based on target architecture (cloud, fog, edge), type of placement (static versus dynamic), key objectives, algorithm to solve and evaluation method. In the case of static placement, an initial placement is typically proposed only once (at start).…”

Section: Container Placement Strategiesmentioning

confidence: 99%

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Container placement and migration strategies for cloud, fog, and edge data centers: A survey

2022

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The last decade has witnessed important development of network softwarization that has revolutionized the practice of networks. Virtualized networks bring novel and specific requirements for the control and orchestration of containerized network functions that are scattered across the network. In this regard, the migration of virtualized network functions plays a pivotal role to best meet the requirements of optimal resource utilization, load balancing and fault tolerance. The purpose of this survey is to offer a detailed overview of the progress on container migration so as to provide a better understanding of the trade-off between the benefits associated with the migration and the practical challenges. The paper includes a classification of the placement algorithms that map the containerized network functions on the virtualized infrastructure. Following, a taxonomy of the migration techniques that perform the transfer of the containerized microservices is proposed.

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Section: Methods Referencementioning

confidence: 99%

Section: Container Placement Strategiesmentioning

confidence: 99%

Container placement and migration strategies for cloud, fog, and edge data centers: A survey

2022

Self Cite

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“…Several learning-based mechanisms to reduce latency have been proposed for 6G networks, often including computation as well: the placement of computation tasks and network functions is critical for reducing latency in complex tasks [109], and the joint consideration of computational and communication aspects can lead to lower overall latency for different services [110]. Domains that have strict constraints and high throughput, such as VR transmission [111], or fast mobility, such as vehicular communications [112], pose specific challenges that need to be addressed individually.…”

Section: A Latencymentioning

confidence: 99%

A Perspective on Time Toward Wireless 6G

et al. 2022

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| With the advent of 5G technology, the notion of latency got a prominent role in wireless connectivity, serving as a proxy term for addressing the requirements for realtime communication. As wireless systems evolve toward 6G, the ambition to immerse the digital into physical reality will increase. Besides making the real-time requirements more stringent, this immersion will bring the notions of time, simultaneity, presence, and causality to a new level of complexity.A growing body of research points out that latency is insufficient to parameterize all real-time requirements. Notably, one such requirement that received significant attention is information freshness, defined through the Age of Information (AoI) and its derivatives. In general, the metrics derived from a conventional black-box approach to communication network design are not representative of new distributed paradigms, such as sensing, learning, or distributed consensus. The objective of this article is to investigate the general notion of timing in wireless communication systems and networks, and

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“…Thus, the distribution of the relevant network functions is important. In [ 41 ], the authors describe a microservice placement strategy, starting from the internal service composition to the particular communication model which is established between microservices. They regard the placement as an optimization problem with the aim of minimizing the end-to-end service latency.…”

Section: Relevant Existing Contributionsmentioning

confidence: 99%

Relevant Cybersecurity Aspects of IoT Microservices Architectures Deployed over Next-Generation Mobile Networks

Aldea

Bocu

Vasilescu

2022

Sensors

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The design and implementation of secure IoT platforms and software solutions represent both a required functional feature and a performance acceptance factor nowadays. This paper describes relevant cybersecurity problems considered during the proposed microservices architecture development. Service composition mechanisms and their security are affected by the underlying hardware components and networks. The overall speedup of the platforms, which are implemented using the new 5G networks, and the capabilities of new performant IoT devices may be wasted by an inadequate combination of authentication services and security mechanisms, by the architectural misplacing of the encryption services, or by the inappropriate subsystems scaling. Considering the emerging microservices platforms, the Spring Boot alternative is used to implement data generation services, IoT sensor reading services, IoT actuators control services, and authentication services, and ultimately assemble them into a secure microservices architecture. Furthermore, considering the designed architecture, relevant security aspects related to the medical and energy domains are analyzed and discussed. Based on the proposed architectural concept, it is shown that well-designed and orchestrated architectures that consider the proper security aspects and their functional influence can lead to stable and secure implementations of the end user’s software platforms.

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Latency and network aware placement for cloud-native 5G/6G services

Cited by 14 publications

References 13 publications

Container placement and migration strategies for cloud, fog, and edge data centers: A survey

Container placement and migration strategies for cloud, fog, and edge data centers: A survey

A Perspective on Time Toward Wireless 6G

Relevant Cybersecurity Aspects of IoT Microservices Architectures Deployed over Next-Generation Mobile Networks

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