Consistent Hashing with Bounded Loads
Designing algorithms for balanced allocation of clients to servers in dynamic settings is a challenging problem for a variety of reasons. Both servers and clients may be added and/or removed from the system periodically, and the main objectives of allocation algorithms are: the uniformity of the allocation, and the number of moves after adding or removing a server or a client. The most popular sol
Scalability! But at what COST?
Michael Isard, Derek Murray, and I recently sent in a HotOS submission (it’s not blind, so no harm talking about it, we think). The subject is hinted at from the post title (stolen from the paper title): Big data systems may scale well, but this can often be just because they introduce a lot of overhead. Rather than making your computation go faster, the systems introduce substantial overheads whi
ロックフリーGCLOCKページ置換アルゴリズム
KubeCon + CloudNativeCon Europe 2022 Recap / Kubernetes Meetup Tokyo #51 / #k...Preferred Networks
Ross Bencina » Some notes on lock-free and wait-free algorithms
Over the past two decades the research community has developed a body of knowledge concerning “Lock-Free” and “Wait-Free” algorithms and data structures. These techniques allow concurrent update of shared data structures without resorting to critical sections protected by operating system managed locks. A number of wait-free and lock free algorithms for simple data structures such as LIFO stacks a
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Dcache scalability and RCU-walk [LWN.net]