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Resource management in clouds: Survey and research challenges
Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …
modern data centers; the heterogeneity of resource types and their interdependencies; the …
A large-scale analysis of hundreds of in-memory key-value cache clusters at twitter
Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …
latency. There have been several workload analyses of production systems that have fueled …
Netcache: Balancing key-value stores with fast in-network caching
We present NetCache, a new key-value store architecture that leverages the power and
flexibility of new-generation programmable switches to handle queries on hot items and …
flexibility of new-generation programmable switches to handle queries on hot items and …
FIFO queues are all you need for cache eviction
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 …
speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low …
Tea: Enabling state-intensive network functions on programmable switches
Programmable switches have been touted as an attractive alternative for deploying network
functions (NFs) such as network address translators (NATs), load balancers, and firewalls …
functions (NFs) such as network address translators (NATs), load balancers, and firewalls …
The {CacheLib} caching engine: Design and experiences at scale
Web services rely on caching at nearly every layer of the system architecture. Commonly,
each cache is implemented and maintained independently by a distinct team and is highly …
each cache is implemented and maintained independently by a distinct team and is highly …
{DistCache}: Provable load balancing for {Large-Scale} storage systems with distributed caching
Load balancing is critical for distributed storage to meet strict service-level objectives
(SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered …
(SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered …
[HTML][HTML] Learning relaxed belady for content distribution network caching
NSDI '20 List of Accepted Papers | USENIX Sign In Conferences Attend Registration
Information Registration Discounts Student Grant Application Diversity Grant Application …
Information Registration Discounts Student Grant Application Diversity Grant Application …
Pegasus: Tolerating skewed workloads in distributed storage with {In-Network} coherence directories
High performance distributed storage systems face the challenge of load imbalance caused
by skewed and dynamic workloads. This paper introduces Pegasus, a new storage system …
by skewed and dynamic workloads. This paper introduces Pegasus, a new storage system …
Cliffhanger: Scaling performance cliffs in web memory caches
Web-scale applications are heavily reliant on memory cache systems such as Memcached
to improve throughput and reduce user latency. Small performance improvements in these …
to improve throughput and reduce user latency. Small performance improvements in these …