The blockchain: State-of-the-art and research challenges
Y Lu - Journal of Industrial Information Integration, 2019 - Elsevier
The blockchain revolutionizes the creation of both scalable information technology systems
and diversified applications by integrating the increasingly popular artificial intelligence …
and diversified applications by integrating the increasingly popular artificial intelligence …
Datasheets for datasets
Datasheets for datasets Page 1 86 COMMUNICATIONS OF THE ACM | DECEMBER 2021 |
VOL. 64 | NO. 12 review articles DATA PLAYS A critical role in machine learning. Every …
VOL. 64 | NO. 12 review articles DATA PLAYS A critical role in machine learning. Every …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Embedding blockchain technology into IoT for security: A survey
In recent years, the Internet of Things (IoT) has made great progress. The interconnection
between IoT and the Internet enables real-time information processing and transaction …
between IoT and the Internet enables real-time information processing and transaction …
A survey on provenance: What for? What form? What from?
Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …
which can be anything from a piece of digital data to a physical object. While this survey …
In-memory big data management and processing: A survey
Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …
[HTML][HTML] Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey
It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …
sources in the cloud during transit and processing. For instance, data provenance, which …
Aurum: A data discovery system
Organizations face a data discovery problem when their analysts spend more time looking
for relevant data than analyzing it. This problem has become commonplace in modern …
for relevant data than analyzing it. This problem has become commonplace in modern …
Resilient distributed datasets: A {Fault-Tolerant} abstraction for {In-Memory} cluster computing
We present Resilient Distributed Datasets (RDDs), a distributed memory abstraction that lets
programmers perform in-memory computations on large clusters in a fault-tolerant manner …
programmers perform in-memory computations on large clusters in a fault-tolerant manner …
[PDF][PDF] Spark: Cluster computing with working sets
MapReduce and its variants have been highly successful in implementing large-scale data-
intensive applications on commodity clusters. However, most of these systems are built …
intensive applications on commodity clusters. However, most of these systems are built …