AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
An empirical assessment of autonomicity for autonomic query optimizers using fuzzy-AHP technique
Quality assurance and evaluation has always been a key cause of concern for software
developers. This problem has been further aggravated by the complete dependence of …
developers. This problem has been further aggravated by the complete dependence of …
Toward a smart data transfer node
Scientific computing systems are becoming significantly more complex, with distributed
teams and complex workflows spanning resources from telescopes and light sources to fast …
teams and complex workflows spanning resources from telescopes and light sources to fast …
Retracted: Green intelligent financial system construction paradigm based on deep learning and concurrency models
X Feng, H Shi, J Wang, S Wang - … and Computation: Practice …, 2021 - Wiley Online Library
Green finance represents a new trend and new direction for future financial development,
and it is an innovation and change in the financial field. The role of the financial market in …
and it is an innovation and change in the financial field. The role of the financial market in …
Evaluation of deep learning models for network performance prediction for scientific facilities
Large data transfers are getting more critical with the increasing volume of data in scientific
computing. While scientific facilities manage dedicated infrastructures to support large data …
computing. While scientific facilities manage dedicated infrastructures to support large data …
Cookie-Jar: An Adaptive Re-configurable Framework for Wireless Network Infrastructures
O Bel, BO Mutlu, J Manzano, C Wright-Hamor… - Proceedings of the 21st …, 2024 - dl.acm.org
5G advancements like Massive Multiple Input Multiple Output (MIMO) bring high capacity
and low latency, but also intensify interference challenges. Static and dynamic coordination …
and low latency, but also intensify interference challenges. Static and dynamic coordination …
Building a wide-area file transfer performance predictor: An empirical study
Wide-area data transfer is central to geographically distributed scientific workflows. Faster
delivery of data is important for these workflows. Predictability is equally (or even more) …
delivery of data is important for these workflows. Predictability is equally (or even more) …
Dynamic online performance optimization in streaming data compression
Compression is essential to high bandwidth applications such as scientific simulations and
sensing applications to reduce resource burden such as storage, network transmission, and …
sensing applications to reduce resource burden such as storage, network transmission, and …
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows
Scientific computing heavily relies on data shared by the community, especially in
distributed data-intensive applications. This research focuses on predicting slow …
distributed data-intensive applications. This research focuses on predicting slow …
Predicting Slow Network Transfers in Scientific Computing
Data access throughput is one of the key performance metrics in scientific computing,
particularly for distributed data-intensive applications. While there has been a body of …
particularly for distributed data-intensive applications. While there has been a body of …