MN-MATE: Elastic Resource Management of Manycores and a Hybrid Memory Hierarchy for a Cloud Node

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dc.contributor.authorPark, Kyu Hoko
dc.contributor.authorHwang, Woominko
dc.contributor.authorSeok, Hyunchulko
dc.contributor.authorKim, Chulminko
dc.contributor.authorShin, Dong-Jaeko
dc.contributor.authorKim, Dong Jinko
dc.contributor.authorMaeng, Min Kyuko
dc.contributor.authorKim, Seong Minko
dc.date.accessioned2016-04-14T02:59:57Z-
dc.date.available2016-04-14T02:59:57Z-
dc.date.created2015-11-25-
dc.date.created2015-11-25-
dc.date.issued2015-07-
dc.identifier.citationACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, v.12, no.1-
dc.identifier.issn1550-4832-
dc.identifier.urihttp://hdl.handle.net/10203/203747-
dc.description.abstractRecent advent of manycore system increases needs for larger but faster memory hierarchy. Emerging next generation memories such as on-chip DRAM and nonvolatile memory (NVRAM) are promising candidates for replacement of DRAM-only main memory. Combined with the manycore trends, it gives an opportunity to rethink conventional resource management system with a memory hierarchy for a single cloud node. In an attempt to mitigate the energy and memory problems, we propose MN-MATE, an elastic resource management architecture for a single cloud node with manycores, on-chip DRAM, and large size of off-chip DRAM and NVRAM. In MN-MATE, the hypervisor places consolidated VMs and balances memory among them. Based on the monitored information about the allocated memory, a guest OS co-schedules tasks accessing different types of memory with complementary access intensity. Polymorphic management of DRAM hierarchy accelerates average memory access speed inside each guest OS. A guest OS reduces energy consumption with small performance loss based on the NVRAM-aware data placement policy and the hybrid page cache. A new lightweight kernel is developed to reduce the overhead from the guest OS for scientific applications. Experiment results show that our techniques in MN-MATE platform improve system performance and reduce energy consumption.-
dc.languageEnglish-
dc.publisherASSOC COMPUTING MACHINERY-
dc.subjectPHASE-CHANGE MEMORY-
dc.subjectMAIN MEMORY-
dc.subjectTECHNOLOGY-
dc.subjectCONTENTION-
dc.subjectEFFICIENT-
dc.subjectPROCESSOR-
dc.subjectOVERHEAD-
dc.titleMN-MATE: Elastic Resource Management of Manycores and a Hybrid Memory Hierarchy for a Cloud Node-
dc.typeArticle-
dc.identifier.wosid000359224800005-
dc.identifier.scopusid2-s2.0-84938682908-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue1-
dc.citation.publicationnameACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS-
dc.identifier.doi10.1145/2701429-
dc.contributor.localauthorPark, Kyu Ho-
dc.contributor.nonIdAuthorHwang, Woomin-
dc.contributor.nonIdAuthorSeok, Hyunchul-
dc.contributor.nonIdAuthorKim, Chulmin-
dc.contributor.nonIdAuthorShin, Dong-Jae-
dc.contributor.nonIdAuthorKim, Dong Jin-
dc.contributor.nonIdAuthorMaeng, Min Kyu-
dc.contributor.nonIdAuthorKim, Seong Min-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorVirtual machine-
dc.subject.keywordAuthorresource management-
dc.subject.keywordAuthorscheduling-
dc.subject.keywordAuthorNVRAM-
dc.subject.keywordAuthorhybrid main memory-
dc.subject.keywordPlusPHASE-CHANGE MEMORY-
dc.subject.keywordPlusMAIN MEMORY-
dc.subject.keywordPlusTECHNOLOGY-
dc.subject.keywordPlusPROCESSOR-
dc.subject.keywordPlusCONTENTION-
dc.subject.keywordPlusEFFICIENT-
dc.subject.keywordPlusOVERHEAD-
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