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The big data system, components, tools, and technologies: a survey
The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …
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 …
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 …
Tactical provenance analysis for endpoint detection and response systems
Endpoint Detection and Response (EDR) tools provide visibility into sophisticated intrusions
by matching system events against known adversarial behaviors. However, current solutions …
by matching system events against known adversarial behaviors. However, current solutions …
Elastic sketch: Adaptive and fast network-wide measurements
When network is undergoing problems such as congestion, scan attack, DDoS attack, etc.,
measurements are much more important than usual. In this case, traffic characteristics …
measurements are much more important than usual. In this case, traffic characteristics …
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 …
Shenango: Achieving high {CPU} efficiency for latency-sensitive datacenter workloads
Datacenter applications demand microsecond-scale tail latencies and high request rates
from operating systems, and most applications handle loads that have high variance over …
from operating systems, and most applications handle loads that have high variance over …
Datacenter {RPCs} can be general and fast
It is commonly believed that datacenter networking software must sacrifice generality to
attain high performance. The popularity of specialized distributed systems designed …
attain high performance. The popularity of specialized distributed systems designed …
Offloading distributed applications onto smartnics using ipipe
Emerging Multicore SoC SmartNICs, enclosing rich computing resources (eg, a multicore
processor, onboard DRAM, accelerators, programmable DMA engines), hold the potential to …
processor, onboard DRAM, accelerators, programmable DMA engines), hold the potential to …
Snap: A microkernel approach to host networking
This paper presents our design and experience with a microkernel-inspired approach to
host networking called Snap. Snap is a userspace networking system that supports Google's …
host networking called Snap. Snap is a userspace networking system that supports Google's …