Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Murray Woodside"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-17 (2023)
Abstract Distributed service applications make heavy use of clouds and multi-clouds, and must (i) meet service quality goals (e.g. response time) while (ii) satisfying cloud resource constraints and (iii) conserving power. Deployment algorithms must
Externí odkaz:
https://doaj.org/article/b78938b7b00c4554961583c4bcfaa4ff
Publikováno v:
ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 7:1-23
Performance models of server systems, based on layered queues, may be very complex. This is particularly true for cloud-based systems based on microservices, which may have hundreds of distinct components, and for models derived by automated data ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c749ea1ff6ada2508f554964656756
https://doi.org/10.1145/3549539
https://doi.org/10.1145/3549539
Autor:
Murray Woodside
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c6320618027edbca68fe2be2b01d72
https://doi.org/10.1145/3578245.3584852
https://doi.org/10.1145/3578245.3584852
Autor:
Siyu Zhou, Murray Woodside
Publikováno v:
Computer Performance Engineering ISBN: 9783031250484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52d8e95ce1ef522657bff41974987cd6
https://doi.org/10.1007/978-3-031-25049-1_4
https://doi.org/10.1007/978-3-031-25049-1_4
Autor:
Siyu Zhou, Murray Woodside
Publikováno v:
Companion of the 2022 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f56fdb175eca4ee52a1c1b272e953ed8
https://doi.org/10.1145/3491204.3527472
https://doi.org/10.1145/3491204.3527472
Autor:
Murray Woodside
Publikováno v:
ICPE (Companion)
Event-driven architecture (EDAs) improves scalability by combining stateless servers and asynchronous interactions. Models to predict the performance of pure EDA systems are relatively easy to make, systems with a combination of event-driven componen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b4953b662e3c2682bcda5b3498ee5d
https://doi.org/10.1145/3447545.3451203
https://doi.org/10.1145/3447545.3451203
Autor:
C. Murray Woodside
Publikováno v:
Quantitative Evaluation of Systems ISBN: 9783030851712
QEST
QEST
Because CPUs use speed control to conserve energy their response times may be greater at low loads, than if they were operating at full speed, giving a flatter response curve against load and trading off longer response time at light loads for energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b41ca4ec2ed102aac767978bcdae3707
https://doi.org/10.1007/978-3-030-85172-9_16
https://doi.org/10.1007/978-3-030-85172-9_16
Publikováno v:
ICPE Companion
This report is prompted by some recent experience with building performance models from kernel traces recorded by LTTng, a tracer that is part of Linux, and by observing other researchers who are analyzing performance issues directly from the traces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb15173bde07ab397f7d3bf132d1ed42
https://doi.org/10.1145/3375555.3384937
https://doi.org/10.1145/3375555.3384937
Publikováno v:
IEEE Transactions on Cloud Computing. 5:277-290
Management of large service centers and clouds requires adaptation to changing conditions and workload. Optimal deployments are possible on private clouds if there is full knowledge of the applications. Previous work, CloudOpt, combines large-scale l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edbe159d15e1fc15b0a6a337ef921b01
https://doi.org/10.1109/tcc.2015.2409873
https://doi.org/10.1109/tcc.2015.2409873
Publikováno v:
IEEE International Conference on Distributed Computing Systems (ICDCS)
ICDCS
ICDCS
Microservices based architectures are increasingly widespread in the cloud software industry. Still, there is a shortage of auto-scaling methods designed to leverage the unique features of these architectures, such as the ability to independently sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe7f4232c3a510e9cd0b721b0603a373
http://hdl.handle.net/10044/1/69963
http://hdl.handle.net/10044/1/69963