{"id":163565,"date":"2012-09-01T00:00:00","date_gmt":"2012-09-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/ramcube-exploiting-network-proximity-for-ram-based-key-value-store-2\/"},"modified":"2018-10-16T20:19:36","modified_gmt":"2018-10-17T03:19:36","slug":"ramcube-exploiting-network-proximity-for-ram-based-key-value-store-2","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/ramcube-exploiting-network-proximity-for-ram-based-key-value-store-2\/","title":{"rendered":"RAMCube: Exploiting Network Proximity for RAM-Based Key-Value Store"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Disk-based storage is becoming increasingly problematic in meeting the needs of large-scale cloud applications. Recently RAM-based storage is proposed by aggregating the RAM of thousands of commodity servers in data center networks (DCN). These studies focus on improving performance with high throughput I\/O, low latency RPC and fast failure recovery. RAM-based storage brings great DCN-related challenges, for example, false server failure detection due to network problems, traffic congestion during failure recovery, and top-of-rack (ToR) switch failures.<\/p>\n<p>This paper presents it  RAMCube, a DCN-oriented design for RAM-based key-value store based on the BCube network. RAMCube exploits network proximity of BCube to restrict all failure detection and recovery traffic within one-hop neighborhood, and leverages BCube&#8217;s multiple paths to handle switch failures. Prototype implementation and experimental evaluation demonstrate that RAMCube is promising to achieve reliable, high performance I\/O and fast failure recovery in large-scale data centers.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Disk-based storage is becoming increasingly problematic in meeting the needs of large-scale cloud applications. Recently RAM-based storage is proposed by aggregating the RAM of thousands of commodity servers in data center networks (DCN). These studies focus on improving performance with high throughput I\/O, low latency RPC and fast failure recovery. RAM-based storage brings great DCN-related [&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":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2012-98","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Yiming Zhang, Rui 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