Constructing scalable overlays for pub-sub with many topics
Gregory Chockler, Roie Melamed, et al.
PODC 2007
Reconfigurable state machine replication is an important enabler of elasticity for replicated cloud services, which must be able to dynamically adjust their size as a function of changing load and resource availability. We introduce a new generic framework to allow the reconfigurable state machine implementation to be derived from a collection of arbitrary non-reconfigurable state machines. Our reduction framework follows the black box approach, and does not make any assumptions with respect to its execution environment apart from reliable channels. It allows higher-level services to leverage speculative command execution to ensure uninterrupted progress during the reconfiguration periods as well as in situations where failures prevent the reconfiguration agreement from being reached in a timely fashion. We apply our framework to obtain a reconfigurable speculative state machine from the non-reconfigurable Paxos implementation, and analyze its performance on a realistic distributed testbed. Our results show that our framework incurs negligible overheads in the absence of reconfiguration, and allows steady throughput to be maintained throughout the reconfiguration periods. © 2012 Authors.
Gregory Chockler, Roie Melamed, et al.
PODC 2007
Kfir Toledo, Pravein Govindan Kannan, et al.
SYSTOR 2023
Vita Bortnikov, Gregory Chockler, et al.
ACM SIGOPS Operating Systems Review
Artem Barger, Yacov Manevich, et al.
SYSTOR 2018