As a cache eviction algorithm, FIFO has a lot of attractive properties, such as simplicity,
speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low …

A modern datacenter server aims to achieve high energy efficiency by co-running multiple
applications. Some of such applications (eg, web search) are latency sensitive. Therefore …

Hybrid storage systems (HSS) use multiple different storage devices to provide high and
scalable storage capacity at high performance. Data placement across different devices is …

Resource disaggregation is a new architecture for data centers in which resources like
memory and storage are decoupled from the CPU, managed independently, and connected …

Application workloads are used for system analysis, design, optimization, and evaluation. As
systems and their applications evolve, new workloads are required to reflect their …

Data center storage architectures face rapidly increasing demands for data volume and
quality of service requirements today. Hybrid storage systems have turned out to be the one …

We introduce Symbiosis, a framework for key-value storage systems that dynamically
configures application and kernel cache sizes to improve performance. We integrate …

This paper studies a fundamental algorithmic problem related to the design of demand-
aware networks: networks whose topologies adjust toward the traffic patterns they serve, in …

Kariz is a new architecture for caching data from datalakes accessed, potentially
concurrently, by multiple analytic platforms. It integrates rich information from analytics …

Bus performances are extremely important in a platform-based design. System Level
analysis of bus performances gives important information for the analysis and choice …