4 citations · 11 across the 14 of their papers we have counts for
4 papers · 1 filter
Garbage Collection or Serialization? Between a Rock and a Hard Place!
Iacovos G. Kolokasis, Giannos Evdorou, Anastasios Papagiannis +5
Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive amounts of data that do not always fit on the heap. Therefore, frameworks temporarily mov…
Using RDMA for Efficient Index Replication in LSM Key-Value Stores
Michalis Vardoulakis, Giorgos Saloustros, Pilar González-Férez +1
Log-Structured Merge tree (LSM tree) Key-Value (KV) stores have become a foundational layer in the storage stacks of datacenter and cloud services. Current approaches for achieving…
Frisbee: automated testing of Cloud-native applications in Kubernetes
Fotis Nikolaidis, Antony Chazapis, Manolis Marazakis +1
As more and more companies are migrating (or planning to migrate) from on-premise to Cloud, their focus is to find anomalies and deficits as early as possible in the development li…
Balancing Garbage Collection vs I/O Amplification using hybrid Key-Value Placement in LSM-based Key-Value Stores
Giorgos Xanthakis, Giorgos Saloustros, Nikos Batsaras +2
Key-value (KV) separation is a technique that introduces randomness in the I/O access patterns to reduce I/O amplification in LSM-based key-value stores for fast storage devices (N…