Data mining and machine learning in astronomy
We review the current state of data mining and machine learning in astronomy. Data Mining
can have a somewhat mixed connotation from the point of view of a researcher in this field. If …
can have a somewhat mixed connotation from the point of view of a researcher in this field. If …
[HTML][HTML] Hadoop-GIS: A high performance spatial data warehousing system over MapReduce
Support of high performance queries on large volumes of spatial data becomes increasingly
important in many application domains, including geospatial problems in numerous fields …
important in many application domains, including geospatial problems in numerous fields …
Beyond the data deluge
Since at least Newton's laws of motion in the 17th century, scientists have recognized
experimental and theoretical science as the basic research paradigms for understanding …
experimental and theoretical science as the basic research paradigms for understanding …
Towards a big data system disaster recovery in a private cloud
V Chang - Ad hoc networks, 2015 - Elsevier
Disaster recovery (DR) plays a vital role in restoring the organization's data in the case of
emergency and hazardous accidents. While many papers in security focus on privacy and …
emergency and hazardous accidents. While many papers in security focus on privacy and …
Optimizing load balancing and data-locality with data-aware scheduling
Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …
for distributed task scheduling systems that have multiple schedulers making scheduling …
Architectural resilience in cloud, fog and edge systems: A survey
V Prokhorenko, MA Babar - IEEE Access, 2020 - ieeexplore.ieee.org
An increasing number of large-scale distributed systems are being built by incorporating
Cloud, Fog, and Edge computing. There is an important need of understanding how to …
Cloud, Fog, and Edge computing. There is an important need of understanding how to …
An overview of the open science data cloud
RL Grossman, Y Gu, J Mambretti, M Sabala… - Proceedings of the 19th …, 2010 - dl.acm.org
The Open Science Data Cloud is a distributed cloud based infrastructure for managing,
analyzing, archiving and sharing scientific datasets. We introduce the Open Science Data …
analyzing, archiving and sharing scientific datasets. We introduce the Open Science Data …
Managing scientific data
Managing scientific data Page 1 68 communications of the acm | june 2010 | vol. 53 | no. 6
contributed articles DATA-orienTeD sCienTifiC ProCesses depend on fast, accurate analysis of …
contributed articles DATA-orienTeD sCienTifiC ProCesses depend on fast, accurate analysis of …
Extreme data-intensive scientific computing
A Szalay - Computing in Science & Engineering, 2011 - ieeexplore.ieee.org
Scientific computing increasingly involves massive data; in astronomy, observations and
numerical simulations are on the verge of generating petabytes. This new, data-centric …
numerical simulations are on the verge of generating petabytes. This new, data-centric …
Beyond Amdahl's law: an objective function that links multiprocessor performance gains to delay and energy
Beginning with Amdahl's law, we derive a general objective function that links parallel
processing performance gains at the system level, to energy and delay in the subsystem …
processing performance gains at the system level, to energy and delay in the subsystem …