{"id":268788,"date":"2016-08-01T04:04:23","date_gmt":"2016-08-01T11:04:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=268788"},"modified":"2016-08-11T22:44:19","modified_gmt":"2016-08-12T05:44:19","slug":"fuso-fast-multi-path-transport-loss-recovery-scheme-data-centers-2","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/fuso-fast-multi-path-transport-loss-recovery-scheme-data-centers-2\/","title":{"rendered":"FUSO: A Fast Multi-path Transport Loss Recovery Scheme for Data Centers"},"content":{"rendered":"<p>Packet loss in data centers, caused by both congestion and failures, greatly hurts the performance of the transport layer, leading to a long tail of flow completion time. FUSO is a fast multi-path transport loss recovery scheme for data centers, to help maintaining a consistent low flow completion time when facing packet losses. FUSO leverages the multi-path diversity in data centers to accelerate the loss recovery, attempting to be both &#8220;fast&#8221; and &#8220;cautious&#8221;. Specifically, when\u00a0a multi-path transport sender suspects loss on one sub-flow, recovery packets are immediately sent over another\u00a0sub-flow that is not or less lossy <em>and<\/em> has spare congestion\u00a0window slots.\u00a0 FUSO is\u00a0fast in that it does not need to wait for timeout on the lossy sub-flow, and it is cautious in that it does not violate congestion control algorithm.<\/p>\n<p>Currently, FUSO is a kernel transport implementation which is built upon MPTCP\u2019s Linux implementation (v0.90). Our implementation is\u00a0publicly\u00a0available.<\/p>\n<p>Publication:<\/p>\n<ul>\n<li>G. Chen, et al., Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers. USENIX ATC 2016.<\/li>\n<\/ul>\n<p>Download:<\/p>\n<ul>\n<li>Our implementation is publically available at\u00a0<a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/github.com\/1989chenguo\/FUSO\">https:\/\/github.com\/1989chenguo\/FUSO.<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Packet loss in data centers, caused by both congestion and failures, greatly hurts the performance of the transport layer, leading to a long tail of flow completion time. FUSO is a fast multi-path transport loss recovery scheme for data centers, to help maintaining a consistent low flow completion time when facing packet losses. FUSO leverages [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13547],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-268788","msr-project","type-msr-project","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2015-05-01","related-publications":[268836],"related-downloads":[],"related-videos":[],"related-groups":[144801],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"gchen","display_name":"","author_link":"","is_active":false,"user_id":"","last_first":"","people_section":0,"alias":""}],"msr_research_lab":[199560],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/268788"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/268788\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=268788"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=268788"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=268788"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=268788"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=268788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}