A PMIPv6 approach to maintain network connectivity during VM live migration over the internet

Kassahun, Solomon; Demessie, Atinkut; Ilie, Dragos

doi:10.1109/cloudnet.2014.6968970

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…14 underlines that also the components of the migration KPIs are well predicted by our model. Specifically, Figures 14a-14c present the main components of a generic dump iteration (namely, frozen time, memory time, and the data volume to be transmitted, described in (17), (20) and (25), resp. ), while Figures 14d-14f show the predump, dump, and restore duration (modeled in (13), (14), and (26), resp.).…”

Section: B Experimental Resultsmentioning

confidence: 99%

Design, Modeling, and Implementation of Robust Migration of Stateful Edge Microservices

Calagna,

Yu,

Giaccone

et al. 2024

IEEE Trans. Netw. Serv. Manage.

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Stateful migration has emerged as the key solution to support latency-sensitive microservices at the edge while ensuring a satisfying experience for mobile users. In this paper, we address two relevant issues affecting stateful migration, namely, the migration of containerized microservices and that of the associated data connection. We do so by first introducing a novel network solution, based on OvS, that permits to preserve the established connection with mobile end users upon migrating a microservice. Then, using Podman and CRIU, we experimentally characterize the fundamental migration KPIs, i.e., migration duration and microservice downtime, and we devise an analytical model that, accounting for all the relevant real-world aspects of stateful migration, provides an accurate upper bound on such KPIs. We validate our model using real-world microservices, namely, MQTT Broker and Memcached, and show that it can predict KPIs values with an error that is up to 99.7% smaller than that yielded by the state of the art. Finally, we consider a UAV controller as relevant microservice use case and demonstrate how our model can be exploited to effectively configure the system parameters so that the required QoE level is met.

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Section: B Experimental Resultsmentioning

confidence: 99%

Design, Modeling, and Implementation of Robust Migration of Stateful Edge Microservices

Calagna,

Yu,

Giaccone

et al. 2024

IEEE Trans. Netw. Serv. Manage.

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“…Other approaches, e.g., the ones proposed in [18], [19], leverage the cloud platform's network proxy to hold and redirect active connections with external clients while performing intra-cloud or inter-cloud service migration. Likewise, [20], [21] design dedicated network proxies to redirect the network flows for general connection migration purposes. However, the use of centralized proxies is unfit for latency-critical edge computing scenarios since it breaks the proximity principle with mobile end users.…”

Section: Related Workmentioning

confidence: 99%

TCP Connection Management for Stateful Container Migration at the Network Edge

Calagna

Giaccone

et al. 2023

2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet)

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Container migration has emerged as the most effective way to ensure the proximity of time-critical microservices at the network edge with mobile end devices. However, ensuring service continuity while migrating microservices that rely on an established TCP connection is still a significant technical challenge. In this paper, we investigate such pivotal issue and propose COAT, a novel, yet simple, network architecture that leverages overlay network technology to achieve TCP connection migration. Through experimental validation using sample microservices, we show that, compared to the traditional container migration approach that does not support connection migration, our solution enables the successful migration of microservices relying on an established TCP connection, at the cost of a 14% maximum increase of the migration duration. Importantly, our solution to the problem of connection migration does not require the use of a dedicated protocol, or any modification to the application source code or the kernel.

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“…However, when the location of the service is changed, the existing session should be released by changing the IP address of the service, which increases the service downtime for re-discovering the service location and re-establishing the sessions. The traditional method to solve this problem is to adapt IP mobility management to service mobility management, which maintains service IP addresses even when the service location is changed [2][3][4][5], however the traffic path cannot be optimized by anchoring the address at the edge cloud, where the service is initially instantiated. To solve this problem, several methods have been researched to separate the IP context into the ID and location [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

LISP-Based Control Plane for Service Connectivity in Multi-Cluster Cloud Systems

2022

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In mobile networks, the edge cloud environment has emerged to provide various services to users. When the mobile user moves to another location while connecting the edge cloud service, to maintain an optimal service path, it is necessary to migrate the service to a new edge cloud close to the location where the user is newly connected. Several methods have been proposed to integrate edge cloud service migration technology with existing mobility management protocols in mobile networks, and a location/ID separation protocol (LISP)-based service optimal path management method between edge clouds was recently proposed. However, for real implementation of edge cloud with existing platform specified to containerized infrastructure, where the address of service is allocated randomly and locally, it is hard to discover appropriate service from the external client as well as maintain service connectivity when service location is changed. To solve that, this paper proposed the LISP-based service ID management system which provides uniform access for equivalent services running on different edge clouds. To apply the proposed ID management system on real distributed edge cloud systems, the mobility management and edge cloud networking systems were integrated as shown in the testbed implementation. This shows the possibility of combining the isolated mobility management for mobile users and internal identification of edge services using LISP for reducing the interruption and delay of edge service for mobile users. As a result of the experiments conducted on a real testbed, our proposed system was verified to enable a change in the routing path while maintaining a single service ID between different edge clouds, and the delay time for path reconfiguration is reduced compared to the existing method.

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A PMIPv6 approach to maintain network connectivity during VM live migration over the internet

Cited by 10 publications

References 22 publications

Design, Modeling, and Implementation of Robust Migration of Stateful Edge Microservices

Design, Modeling, and Implementation of Robust Migration of Stateful Edge Microservices

TCP Connection Management for Stateful Container Migration at the Network Edge

LISP-Based Control Plane for Service Connectivity in Multi-Cluster Cloud Systems

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