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Reproducible and Portable Big Data Analytics in the Cloud
To tackle these problems, we leverage serverless computing and containerization techniques for automated scalable execution and reproducibility, and utilize the adapter design pattern to enable application portability and reproducibility across different clouds.
Serverless Query Processing with Flexible Performance SLAs and Prices
In this paper, we first define the problem of flexible performance SLAs and prices in serverless query processing and discuss its significance.
Databases
PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and Prices
The queries are then executed by a serverless query engine that offers varying prices for different performance service levels (SLAs).
Transparent Serverless execution of Python multiprocessing applications
The results show that Python's multiprocessing library design is an enabler towards transparency: legacy applications using efficient disaggregated abstractions can transparently scale beyond VM limited resources for increased parallelism without changing the underlying code or architecture.
Distributed, Parallel, and Cluster Computing
Manu: A Cloud Native Vector Database Management System
In the past three years, through interaction with our 1200+ industry users, we have sketched a vision for the features that next-generation vector databases should have, which include long-term evolvability, tunable consistency, good elasticity, and high performance.
Databases
Deep Lake: a Lakehouse for Deep Learning
Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage.
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
The first is scene-level swapping which exchanges point cloud sectors of two LiDAR scans that are cut along the azimuth axis.
Flock: A Low-Cost Streaming Query Engine on FaaS Platforms
Existing serverless data analytics systems rely on external storage services like S3 for data shuffling and communication between cloud functions.
Databases Distributed, Parallel, and Cluster Computing
Satellite Image Time Series Analysis for Big Earth Observation Data
Solutions that are efficient for specific hardware architectures can not be used in other environments.
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science
Nowadays, engineers have to develop software often without even knowing which hardware it will eventually run on in numerous mobile phones, tablets, desktops, laptops, data centers, supercomputers and cloud services.
