{"id":823,"date":"2017-01-06T11:16:58","date_gmt":"2017-01-06T10:16:58","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/2017\/01\/06\/allocation-de-ressources-pour-un-cloud-green-et-distribue\/"},"modified":"2020-09-04T18:46:10","modified_gmt":"2020-09-04T16:46:10","slug":"allocation-de-ressources-pour-un-cloud-green-et-distribue","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2017\/01\/06\/allocation-de-ressources-pour-un-cloud-green-et-distribue\/","title":{"rendered":"\u00ab Allocation de ressources pour un cloud green et distribu\u00e9 \u00bb"},"content":{"rendered":"

L’Ecole doctorale EDITE – Ecole doctorale informatique, t\u00e9l\u00e9communications et \u00e9lectronique et T\u00e9l\u00e9com SudParis avec le Laboratoire de recherche SAMOVAR –
\npr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Monsieur Ehsan AHVAR<\/strong><\/p>\n

Autoris\u00e9 \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de T\u00e9l\u00e9com SudParis avec l’Universit\u00e9 Paris 6 en :
\nInformatique et T\u00e9l\u00e9communications<\/p>\n

Titre : <\/strong> \u00ab Allocation de ressources pour un cloud green et distribu\u00e9 \u00bb<\/p>\n

Quand<\/strong>:le 9 janvier 2017 \u00e0 9:30 – Salle A003<\/p>\n

O\u00f9:<\/strong> T\u00e9l\u00e9com SudParis – 9 Rue Charles Fourier, 91000 \u00c9vry<\/p>\n

Directeur de th\u00e8se :<\/em> No\u00ebl CRESPI – Professeur <\/strong><\/p>\n

Membres du jury :<\/strong>
\n– Rapporteurs :<\/em><\/p>\n\n\n\n\n
Ramin YAHYAPOUR <\/td>\n Professor – Georg-August Universit\u00e4t G\u00f6ttingen – Allemagne<\/td>\n<\/tr>\n
Bahman JAVADI <\/td>\n Senior Lecturer – Western Sydney University – Australie<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

– Examinateurs :<\/em><\/p>\n\n\n\n\n\n
Guy PUJOLLE <\/td>\nProfesseur – Universit\u00e9 Paris 6<\/td>\n<\/tr>\n
Walid BEN AMEUR <\/td>\n Professeur – T\u00e9l\u00e9com SudParis<\/td>\n<\/tr>\n
Imen Grida BEN YAIA <\/td>\n Ing\u00e9nieure – Orange Labs Networks – France<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

R\u00e9sum\u00e9 :<\/strong>
\nL’objectif de cette th\u00e8se est de pr\u00e9senter de nouveaux algorithmes de placement de machines virtuelles (VMs) \u00e0 fin d\u2019optimiser le co\u00fbt et les \u00e9missions de carbone dans les Clouds distribu\u00e9s. La th\u00e8se se concentre d\u2019abord sur la rentabilit\u00e9 des Clouds distribu\u00e9s, et d\u00e9veloppe ensuite les raisons d\u2019optimiser les co\u00fbts ainsi que les \u00e9missions de carbone. La th\u00e8se comprend deux principales parties: la premi\u00e8re propose, d\u00e9veloppe et \u00e9value les algorithmes de placement statiques de VMs (o\u00f9 un premier placement d’une VM d\u00e9tient pendant toute la dur\u00e9e de vie de la VM). La deuxi\u00e8me partie propose des algorithmes de placement dynamiques de VMs o\u00f9 le placement initial de VM peut changer dynamiquement (par exemple, gr\u00e2ce \u00e0 la migration de VMs et \u00e0 leur consolidation).<\/p>\n

Abstract:<\/strong>
\nVirtual machine (VM) placement (i.e., resource allocation) method has a direct effect on both cost and carbon emission. Considering the geographic distribution of data centers (DCs), there are a variety of resources, energy prices and carbon emission rates to consider in a distributed cloud, which makes the placement of VMs for cost and carbon efficiency even more critical and complex than in centralized clouds.
\nThe goal of this thesis is to present new VM placement algorithms to optimize cost and carbon emission in a distributed cloud. It first focuses on cost efficiency in distributed clouds and, then, extends the goal to optimization of both cost and carbon emission at the same time. Thesis includes two main parts. The first part of thesis proposes, develops and evaluates static VM placement algorithms to reach the mentioned goal where an initial placement of a VM holds throughout the lifetime of the VM. The second part proposes dynamic VM placement algorithms where the initial placement of VMs is allowed to change (e.g., through VM migration and consolidation).
\nThe first contribution is a survey of the state of the art on cost and carbon emission resource allocation in distributed cloud environments. The second contribution targets the challenge of optimizing inter-DC communication cost for large-scale tasks and proposes a Network-Aware Cost-Efficient Resource allocation method, called NACER, for distributed clouds. The goal is to minimize the network communication cost of running a task in a distributed cloud by selecting the DCs to provision the VMs in such a way that the total network distance (hop count or any reasonable measure) among the selected DCs is minimized. The third contribution proposes a Network-Aware Cost Efficient VM Placement method (called NACEV) for Distributed Clouds. NACEV is an extended version of NACER. While NACER only considers inter-DC communication cost, NACEV optimizes both communication and computing cost at the same time and also proposes a mapping algorithm to place VMs on Physical Machines (PMs) inside of the selected DCs. NACEV also considers some aspects such as heterogeneity of VMs, PMs and switches, variety of energy prices, multiple paths between PMs, effects of workload on cost (energy consumption) of cloud devices (i.e., switches and PMs) and also heterogeneity of energy model of cloud elements. The forth contribution presents a Cost and Carbon Emission-Efficient VM Placement Method (called CACEV) for green distributed clouds. CACEV is an extended version of NACEV. In addition to cost efficiency, CACEV considers carbon emission efficiency and green distributed clouds. It is a VM placement algorithm for joint optimization of computing and network resources, which also considers price, location and carbon emission rate of resources. It also, unlike previous contributions of thesis, considers IaaS Service Level Agreement (SLA) violation in the system model.
\nTo get a better performance, the fifth contribution proposes a dynamic Cost and Carbon Emission-Efficient VM Placement method (D-CACEV) for green distributed clouds. D-CACEV is an extended version of our previous work, CACEV, with additional figures, description and also live VM migration mechanisms. We show that our joint VM placement-reallocation mechanism can constantly optimize both cost and carbon emission at the same time in a distributed cloud.<\/p>\n","protected":false},"excerpt":{"rendered":"

L’Ecole doctorale EDITE – Ecole doctorale informatique, t\u00e9l\u00e9communications et \u00e9lectronique et T\u00e9l\u00e9com SudParis avec le Laboratoire de recherche SAMOVAR – pr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Monsieur Ehsan AHVAR Autoris\u00e9 \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de T\u00e9l\u00e9com SudParis avec l’Universit\u00e9 Paris 6 en : Informatique et T\u00e9l\u00e9communications Titre : \u00ab Allocation […]<\/p>\n","protected":false},"author":1,"featured_media":822,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","ocean_post_oembed":"","ocean_post_self_hosted_media":"","ocean_post_video_embed":"","ocean_link_format":"","ocean_link_format_target":"self","ocean_quote_format":"","ocean_quote_format_link":"post","ocean_gallery_link_images":"on","ocean_gallery_id":[],"footnotes":""},"categories":[344],"tags":[],"class_list":["post-823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-theses-2017-fr","entry","has-media"],"_links":{"self":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/comments?post=823"}],"version-history":[{"count":1,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/823\/revisions"}],"predecessor-version":[{"id":1638,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/posts\/823\/revisions\/1638"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media\/822"}],"wp:attachment":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media?parent=823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/categories?post=823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/tags?post=823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}