![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > Rethinking State-Machine Replication for Multicore Architectures
![]() Rethinking State-Machine Replication for Multicore ArchitecturesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins. This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending The advent of multicore processors and their wide availability has revolutionized systems programming and application development strategies. To increase their capacity to serve clients and to benefit from the new hardware, service providers have to parallelize their services. Similarly to their sequential predecessors, however, parallel services must also be continually available to the clients, despite failures. State-machine replication is a well-established strategy to make services fault tolerant. In this talk we will look at the capability of the state-machine approach in replicating parallel services. On the one hand, parallel applications require concurrent processing of requests to provide high performance and on the other hand, state-machine replication requires sequential processing of requests to preserve consistency. During this presentation we will consider the possibility of uniting these two apparently incompatible models and will propose a scalable solution. This talk is part of the Microsoft Research Cambridge, public talks series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCIKC Talks zangwill seminarsOther talksThe microenvironment in the myeloid malignancies Measuring Designing: Design Cognitiometrics, Physiometrics & Neurometrics Dive into the Lives of Flies and Ants Statistical analysis of biotherapeutic datasets to facilitate early ‘Critical Quality Attribute’ characterization. Strong Bonds, Affective Labour: Sexually Transmitted Infections and the Work of History |