In the edge-cloud continuum, datacenters provide microservices (MSs) to mobile users, with each MS having specific latency constraints and computational requirements. Deploying such a variety of MSs matching their requirements with the available computing resources is challenging. In addition, time- critical MSs may have to be migrated as the users move, to keep meeting their latency constraints. Unlike previous work relying on a central orchestrator with an always-updated global view of the available resources and of the users’ locations, this work envisions a distributed solution to the above issues. In particular, we propose a distributed asynchronous protocol for MS deployment in the cloud-edge continuum that (i) dramatically reduces the system overhead compared to a centralized approach, and (ii) increases the system stability by avoiding having a single point of failure as in the case of a central orchestrator. Our solution ensures cost-efficient feasible placement of MSs, while using negligible bandwidth.
Distributed Asynchronous Protocol for Service Provisioning in the Edge-Cloud Continuum / Cohen, Itamar; Giaccone, Paolo; Chiasserini, Carla Fabiana. - STAMPA. - (2023). (Intervento presentato al convegno International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2023) tenutosi a Split (Croatia) nel 21-23 September 2023) [10.23919/SoftCOM58365.2023.10271640].
Distributed Asynchronous Protocol for Service Provisioning in the Edge-Cloud Continuum
Paolo Giaccone;Carla Fabiana Chiasserini
2023
Abstract
In the edge-cloud continuum, datacenters provide microservices (MSs) to mobile users, with each MS having specific latency constraints and computational requirements. Deploying such a variety of MSs matching their requirements with the available computing resources is challenging. In addition, time- critical MSs may have to be migrated as the users move, to keep meeting their latency constraints. Unlike previous work relying on a central orchestrator with an always-updated global view of the available resources and of the users’ locations, this work envisions a distributed solution to the above issues. In particular, we propose a distributed asynchronous protocol for MS deployment in the cloud-edge continuum that (i) dramatically reduces the system overhead compared to a centralized approach, and (ii) increases the system stability by avoiding having a single point of failure as in the case of a central orchestrator. Our solution ensures cost-efficient feasible placement of MSs, while using negligible bandwidth.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2979419