Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System

Autores
Pessolani, Pablo; Taborda, Marcelo; Perino, Franco
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Cloud applications are usually composed by a set of components (microservices) that may be located in different virtual and/or physical computers. To achieve the desired level of performance, availability, scalability, and robustness in this kind of system is necessary to describe and maintain a complex set of infrastructure configurations. Another approach would be to use a Distributed Virtualization System (DVS) that provides a transparent mechanism that each component could use to communicate with others, regardless of their location and thus, avoiding the potential problems and complexity added by their distributed execution. This communication mechanism already has useful features for developing distributed applications with replication support for high availability and performance requirements. When a cluster of backend servers runs the same set of services for a lot of clients, it needs to present a single entry-point for them. In general, an application proxy is used to meet this requirement with auto-scaling and load balancing features added. Autoscaling is the mechanism that dynamically monitors the load of the cluster nodes and creates new server instances when the load is greater than the threshold of highest CPU usage or it removes server instances when the load is less than the threshold of lowest CPU usage. Load balancing is another related mechanism that distributes the load among server instances to avoid that some instances are saturated and others unloaded. Both mechanisms help to provide better performance and availability of critical services. This article describes the design, implementation, and testing of a service proxy with auto-scaling and load balancing features in a DVS.
Workshop: WARSO - Arquitectura, Redes y Sistemas Operativos
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Autoscaling
Load Balancing
Distributed Systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/130438
Acceder
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network_name_str SEDICI (UNLP)
spelling Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization SystemPessolani, PabloTaborda, MarceloPerino, FrancoCiencias InformáticasAutoscalingLoad BalancingDistributed SystemsCloud applications are usually composed by a set of components (microservices) that may be located in different virtual and/or physical computers. To achieve the desired level of performance, availability, scalability, and robustness in this kind of system is necessary to describe and maintain a complex set of infrastructure configurations. Another approach would be to use a Distributed Virtualization System (DVS) that provides a transparent mechanism that each component could use to communicate with others, regardless of their location and thus, avoiding the potential problems and complexity added by their distributed execution. This communication mechanism already has useful features for developing distributed applications with replication support for high availability and performance requirements. When a cluster of backend servers runs the same set of services for a lot of clients, it needs to present a single entry-point for them. In general, an application proxy is used to meet this requirement with auto-scaling and load balancing features added. Autoscaling is the mechanism that dynamically monitors the load of the cluster nodes and creates new server instances when the load is greater than the threshold of highest CPU usage or it removes server instances when the load is less than the threshold of lowest CPU usage. Load balancing is another related mechanism that distributes the load among server instances to avoid that some instances are saturated and others unloaded. Both mechanisms help to provide better performance and availability of critical services. This article describes the design, implementation, and testing of a service proxy with auto-scaling and load balancing features in a DVS.Workshop: WARSO - Arquitectura, Redes y Sistemas OperativosRed de Universidades con Carreras en Informática2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf480-489http://sedici.unlp.edu.ar/handle/10915/130438enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-633-574-4info:eu-repo/semantics/reference/hdl/10915/129809info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:04:53Zoai:sedici.unlp.edu.ar:10915/130438Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:04:53.998SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
title Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
spellingShingle Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
Pessolani, Pablo
Ciencias Informáticas
Autoscaling
Load Balancing
Distributed Systems
title_short Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
title_full Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
title_fullStr Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
title_full_unstemmed Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
title_sort Service Proxy with Load Balancing and Autoscaling for a Distributed Virtualization System
dc.creator.none.fl_str_mv Pessolani, Pablo
Taborda, Marcelo
Perino, Franco
author Pessolani, Pablo
author_facet Pessolani, Pablo
Taborda, Marcelo
Perino, Franco
author_role author
author2 Taborda, Marcelo
Perino, Franco
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Autoscaling
Load Balancing
Distributed Systems
topic Ciencias Informáticas
Autoscaling
Load Balancing
Distributed Systems
dc.description.none.fl_txt_mv Cloud applications are usually composed by a set of components (microservices) that may be located in different virtual and/or physical computers. To achieve the desired level of performance, availability, scalability, and robustness in this kind of system is necessary to describe and maintain a complex set of infrastructure configurations. Another approach would be to use a Distributed Virtualization System (DVS) that provides a transparent mechanism that each component could use to communicate with others, regardless of their location and thus, avoiding the potential problems and complexity added by their distributed execution. This communication mechanism already has useful features for developing distributed applications with replication support for high availability and performance requirements. When a cluster of backend servers runs the same set of services for a lot of clients, it needs to present a single entry-point for them. In general, an application proxy is used to meet this requirement with auto-scaling and load balancing features added. Autoscaling is the mechanism that dynamically monitors the load of the cluster nodes and creates new server instances when the load is greater than the threshold of highest CPU usage or it removes server instances when the load is less than the threshold of lowest CPU usage. Load balancing is another related mechanism that distributes the load among server instances to avoid that some instances are saturated and others unloaded. Both mechanisms help to provide better performance and availability of critical services. This article describes the design, implementation, and testing of a service proxy with auto-scaling and load balancing features in a DVS.
Workshop: WARSO - Arquitectura, Redes y Sistemas Operativos
Red de Universidades con Carreras en Informática
description Cloud applications are usually composed by a set of components (microservices) that may be located in different virtual and/or physical computers. To achieve the desired level of performance, availability, scalability, and robustness in this kind of system is necessary to describe and maintain a complex set of infrastructure configurations. Another approach would be to use a Distributed Virtualization System (DVS) that provides a transparent mechanism that each component could use to communicate with others, regardless of their location and thus, avoiding the potential problems and complexity added by their distributed execution. This communication mechanism already has useful features for developing distributed applications with replication support for high availability and performance requirements. When a cluster of backend servers runs the same set of services for a lot of clients, it needs to present a single entry-point for them. In general, an application proxy is used to meet this requirement with auto-scaling and load balancing features added. Autoscaling is the mechanism that dynamically monitors the load of the cluster nodes and creates new server instances when the load is greater than the threshold of highest CPU usage or it removes server instances when the load is less than the threshold of lowest CPU usage. Load balancing is another related mechanism that distributes the load among server instances to avoid that some instances are saturated and others unloaded. Both mechanisms help to provide better performance and availability of critical services. This article describes the design, implementation, and testing of a service proxy with auto-scaling and load balancing features in a DVS.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/130438
url http://sedici.unlp.edu.ar/handle/10915/130438
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-633-574-4
info:eu-repo/semantics/reference/hdl/10915/129809
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
480-489
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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