Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center

U-chupala, Pongsakorn; Watashiba, Yasuhiro; Ichikawa, Kohei; Date, Susumu; Iida, Hajimu

doi:10.1109/compsac.2017.94

Cited by 13 publications

(5 citation statements)

References 7 publications

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“…The scheduling mechanism proposed in [16] migrates only long-lived containers as they occupy the resources for a long time. First, long-lived containers are arranged with respect to the CPU resources they consume.…”

Section: Algorithmic Approachesmentioning

confidence: 99%

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Dynamic migration of microservices for end-to-end latency control in 5G/6G networks

Kaur

Guillemin

Sailhan

2023

Preprint

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With the adoption of the microservice paradigm by the telecom industry in the design of 5G/6G networks, complex network functions are decomposed into sets of chained sub-functions, which are further deployed using containerized technologies over geographically distributed cloud clusters. Latency-sensitive applications require to carefully orchestrate the allocation and re-arrangement of (micro)services to prevent from a largely segmented placement of microservices. To address this issue in the context of network functions, we introduce a novel placement and migration strategy that chooses those specific microservice(s) to migrate and the optimal destination (data center) while considering the impact of the migration on other microservices.We devise fast and effective heuristics that are extensively studied via simulation experiments, that show that our proposed approach significantly reduces the service latency.

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Section: Algorithmic Approachesmentioning

confidence: 99%

“…3. Then, move to the nearest regional node (i.e., attached parent node -lines [16][17] to place the remaining microservices in case all the microservices are not placed. 4.…”

Section: Greedy First Fit Algorithm (Gff)mentioning

confidence: 99%

Dynamic migration of microservices for end-to-end latency control in 5G/6G networks

Kaur

Guillemin

Sailhan

2023

Preprint

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“…Load balancing strategy [10] is applied only on long-lived containers that occupy the resources for a long duration. Longlived containers are arranged according to the CPU resource they require; then highly occupied hosts are selected to swap containers with low occupied hosts.…”

Section: Related Workmentioning

confidence: 99%

A Microservice Migration Approach to Controlling Latency in 5G/6G Networks

Kaur,

Guillemin,

Sailhan

2023

ICC 2023 - IEEE International Conference on Communications

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The microservice paradigm is widely adopted in the design of Virtualized Network Functions (VNFs). Still, 5G/6G networks require to carefully orchestrate the allocation and rearrangement of (micro)services to avoid a largely segmented solution space while services arrive and leave the network. To support latency-effective service provisioning, we introduce a novel placement and migration strategy that chooses the microservice(s) to migrate and selects the optimal destination (data center) while considering the impact of the migration on other microservices. For this purpose, we devise fast and effective heuristics and we implement a prototype that maps the service in the deployment field. Extensive simulations show our proposed approach significantly reduces the service latency.

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“…The work presented in U-Chupala et al (2017) proposes a resource-aware placement scheme to boost the performance in a heterogeneous cluster through a proactive-optimisation based on rapid live migrations, preparing the system for future workloads, especially on busy clusters, and minimising the interference with the main scheduler. Ma et al (2016) proposed Libra, another optimisation broker-based scheduling architecture and strategy, to maximise the network isolation of the containers' virtual links bound to the physical nodes' links.…”

Section: Related Workmentioning

confidence: 99%

Scheduling communication-intensive applications on Mesos

Stefano

Morana³

2020

IJGUC

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In recent years, the widespread use of container technologies has significantly altered the interactions between cloud service providers and their customers when developing and offering services. The shift away from Virtual Private Server scenarios in Infrastructure-as-a-Service environments requires drastic changes to the deployment strategies adopted by service providers. This also opens many questions to what information must be supplied by customers and how to improve the performance of user applications, especially in the case of communication-intensive applications. In this work, the authors propose the adoption of a new framework for Mesos clusters that aims to improve the deployment strategies of communication intensive applications. Coope4M is based on the partitioning of the user application graph via the Isolation Index parameter obtained through user-knowledge on the degree of the communication between its components.

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Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center

Cited by 13 publications

References 7 publications

Dynamic migration of microservices for end-to-end latency control in 5G/6G networks

Dynamic migration of microservices for end-to-end latency control in 5G/6G networks

A Microservice Migration Approach to Controlling Latency in 5G/6G Networks

Scheduling communication-intensive applications on Mesos

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