1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
Power and Performance Analysis of Persistent Key-Value Stores
Stella Mikrou, Anastasios Papagiannis, Giorgos Saloustros +2
With the current rate of data growth, processing needs are becoming difficult to fulfill due to CPU power and energy limitations. Data serving systems and especially persistent key…
VAT: Asymptotic Cost Analysis for Multi-Level Key-Value Stores
Nikos Batsaras, Giorgos Saloustros, Anastasios Papagiannis +2
Over the past years, there has been an increasing number of key-value (KV) store designs, each optimizing for a different set of requirements. Furthermore, with the advancements of…