Migration-Aware Network Services With Edge Computing

Mukhopadhyay, Atri; Iosifidis, George; Ruffini, Marco

doi:10.1109/tnsm.2021.3139857

Cited by 13 publications

(4 citation statements)

References 35 publications

(49 reference statements)

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“…The recent work in [37] explores container orchestration in a hybrid computing environment and aims to achieve minimal downtime for fault recovery by either re-instantiating or migrating containers. Further, [38] proposes a priority-induced migration algorithm to minimize service downtime and traffic congestion, while [39] defines a regression model for predicting delay values in SDNbased IoT-Fog networks. To address the lack of a migration model that characterizes the fundamental KPIs, [4] presents an ideal model that serves as a starting point for planning and scheduling of multiple VMs.…”

Section: Solutionsmentioning

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: Solutionsmentioning

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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“…Node migration is a common operation in networking, used for different goals such as guaranteeing quality of service [43], [44], [45], [46] and increasing reliability [8], [47]. In [43], they migrate a virtual machine (VM) between data centers to keep services working during data center maintenance.…”

Section: Related Workmentioning

confidence: 99%

“…They decide whether to migrate the VMs based on the delay until the VM is operative again and the cost incurred in the migration. Mukhopadhyay et al [44] proposed a method to minimize the number of migration events to guarantee the quality of service to clients in a mobile network while they move through a defined route. In NFV networks, VNFs migration brings a solution to overloaded nodes and links: Yi et al proposed a methodology in [45] to cost-effectively migrate VNFs, easing the burden of nodes and links while considering SFC delay, available link bandwidth, and node computation resources.…”

Section: Related Workmentioning

confidence: 99%

Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration

Prieto¹,

Figueroa²,

Pezoa³

2022

IEEE Access

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Network reliability has become an important concern to network administrators and service providers, and is prominently considered in network design. Particularly, 0-day vulnerabilities are an increasing threat to software-based networking systems. When shared between node appliances, they can be exploited simultaneously and compromise large portions of the network. Moreover, it has been observed that the number of 0-day vulnerabilities discovered yearly in node appliances tends to increase over time. Thus, we can expect that the reliability to 0-day exploits of a network implemented with these appliances will also worsen over time. In this work, we treat network reliability to 0-day exploits as a service, where the network provider agrees to deliver a reliability-based level of service over time. We propose a network reliability metric based on network connectivity and discovered appliance vulnerabilities. We formulate a strategy to guarantee a reliability value over time, based on heterogeneous networking and periodically running cost-effective partial node migrations. We use numerical evaluations to test our methodology on two software-defined wide-area networks based on known backbone IP topologies. Our significant findings are the following: First, when the network reliability becomes worse than the service guarantee, it can be restored in most cases by combining appliance reallocation and node migration. Second, our evaluations show a direct relationship between a network reliability value and the cost incurred to guarantee it. Third, we noted that, when using our appliance-to-node allocation strategy to guarantee the same reliability on different networks, their post-failure connectivity depends on the underlying network topology.

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“…Using MEC servers end-devices' complex jobs can be migrated to edge servers via wireless connections, alleviating the problems of insufficient processing capacity and mobile terminal battery capacity [27]. However, this requires an efficient migration scheme to manage such a process [28].…”

Section: Introductionmentioning

confidence: 99%

Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Ateya¹,

Alhussan²,

Abdallah³

et al. 2023

Computer Systems Science and Engineering

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Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator's infrastructure. The obtained results are introduced and discussed.

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Migration-Aware Network Services With Edge Computing

Cited by 13 publications

References 35 publications

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

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

Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration

Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

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