Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Changyeon Jo"'
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030929152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2575fee75448bdbe5c39128416ced53b
https://doi.org/10.1007/978-3-030-92916-9_2
https://doi.org/10.1007/978-3-030-92916-9_2
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030929152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::037d355e2046e85b42a59b46d63c126e
https://doi.org/10.1007/978-3-030-92916-9_12
https://doi.org/10.1007/978-3-030-92916-9_12
Publikováno v:
PACT
High-performance computing (HPC) clusters suffer from an overall low memory utilization that is caused by the node-centric memory allocation combined with the variable memory requirements of HPC workloads. The recent provisioning of nodes with teraby
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7a70b83c0b90d03a8da459caef4072a
https://doi.org/10.1145/3410463.3414643
https://doi.org/10.1145/3410463.3414643
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030630577
GECON
GECON
Live migration of virtual machines (VMs) is an important tool for data center operators to achieve maintenance, power management, and load balancing. The relatively high cost of live migration makes it difficult to employ live migration for rapid loa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d3577c70a0c5130e126fe697c6aaaa
https://doi.org/10.1007/978-3-030-63058-4_14
https://doi.org/10.1007/978-3-030-63058-4_14
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030630577
GECON
GECON
Live migration of virtual machines (VMs) enables maintenance, load balancing, and power management in data centers. The cost of live migration on several key metrics combined with strict service-level objectives (SLOs), however, typically limits its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e7f9261e6c13eb011da189e44e752d1
https://doi.org/10.1007/978-3-030-63058-4_15
https://doi.org/10.1007/978-3-030-63058-4_15
Publikováno v:
IEEE Transactions on Computers. 65:3041-3054
The ability to save the state of a running virtual machine (VM) for later restoration is an important tool for home, server, and virtual desktop cloud (VDC) environments in order to achieve optimal and balanced hardware utilization. With guest memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17834504c022d6a05830b8152bd37317
https://doi.org/10.1109/tc.2016.2519890
https://doi.org/10.1109/tc.2016.2519890
Publikováno v:
SoCC
Live migration is one of the key technologies to improve data center utilization, power efficiency, and maintenance. Various live migration algorithms have been proposed; each exhibiting distinct characteristics in terms of completion time, amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75a298cef73025746768e7dad1ff898
https://doi.org/10.1145/3127479.3129262
https://doi.org/10.1145/3127479.3129262
Publikováno v:
International Journal of Parallel Programming. 43:421-439
Saving the state of a running virtual machine (VM) for later restoration has become an indispensable tool to achieve balanced and energy-efficient usage of the underlying hardware in virtual desktop cloud environments (VDC). To free up resources, a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::106cb5f51423f59b382c9e28c0dc936b
https://doi.org/10.1007/s10766-013-0295-0
https://doi.org/10.1007/s10766-013-0295-0
Autor:
Bernhard Egger, Changyeon Jo
Publikováno v:
CloudCom (1)
Live migration of virtual machines (VM) from one physical host to another is a key enabler for virtual desktop clouds (VDC). The prevalent algorithm, pre-copy, suffers from long migration times and a high data transfer volume for non-idle VMs which h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3c97b11f5224cfb25865513e7297f0
https://doi.org/10.1109/cloudcom.2013.21
https://doi.org/10.1109/cloudcom.2013.21