Wenbo Zhu
Software Engineer at Google working on distributed systems and networking infrastructure and technologies.
Authored Publications
Google Publications
Other Publications
Sort By
Tunable Performance and Consistency Tradeoffs for Geographically Replicated Cloud Services (COLOR)
C. Murray Woodside
Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on, IEEE, pp. 457-463
Preview abstract
COLOR (client-oriented layered optimistic replication) is a combination of optimistic and conservative data replication that allows cloud services to be replicated across widely distributed locations without suffering from the latency overhead of strict algorithms, and with quantifiable and controllable tradeoffs between performance and consistency guarantees. The COLOR solution adopts a layered approach to enable optimistic delivery of client messages on top of any existing storage layer that manages the strict replication of the cloud service. When clients may be temporarily exposed to inconsistent states due to replication failures, such inconsistency is made recoverable similar to "optimistic concurrency control" for clients that cache the server state. COLOR supports different numeric parameters to trade the strict consistency for better performance to possibly match Eventual Consistency, while the end-to-end consistency is always guaranteed as the storage layer will never deliver any client messages generated from inconsistent states
View details
Optimistic Scheduling with Geographically Replicated Services in the Cloud Environment (COLOR)
C. Murray Woodside
Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on, IEEE CONFERENCE PUBLICATIONS, pp. 735-740
Preview abstract
This paper proposes a system model that unifies different optimistic algorithms designed for deploying geographically replicated services in a cloud environment. The proposed model thereby enables a generalized solution (COLOR) by which well-specified safety and timeliness guarantees are achievable in conjunction with tunable performance requirements. The proposed solution explicitly takes advantage of the unique client-cloud interface in specifying how the level of consistency violation may be bounded, for instance using probabilistic rollbacks or restarts as parameters. The solution differs from traditional Eventual Consistency models in that inconsistency is solved concurrently with online client-cloud interactions over strongly connected networks. We believe that such an approach will bring clarity to the role and limitations of the ever-popular Eventual Consistency model in cloud services.
View details
No Results Found
