Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Thilina Buddhika"'
Autor:
Daniel Rammer, Matthew Malensek, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara
Publikováno v:
IEEE Transactions on Big Data. 8:213-228
Fueled by the proliferation of IoT devices and increased adoption of sensing environments the collection of spatiotemporal data has exploded in recent years. Disk based storage systems provide reliable archives but are far too slow for efficient anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd940ddd071e48e352dc4ee5948c7863
https://doi.org/10.1109/tbdata.2019.2939834
https://doi.org/10.1109/tbdata.2019.2939834
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:2005-2020
Voluminous, time-series data streams originating in continuous sensing environments pose data ingestion and processing challenges. We present a holistic methodology centered around data sketching to address both challenges. We introduce an order-pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94e83bfc08d844342df999043b65439d
https://doi.org/10.1109/tpds.2021.3055265
https://doi.org/10.1109/tpds.2021.3055265
Publikováno v:
ACM Transactions on Internet of Things. 2:1-31
Voluminous time-series data streams produced in continuous sensing environments impose challenges pertaining to ingestion, storage, and analytics. In this study, we present a holistic approach based on data sketching to address these issues. We propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84795489a70c300ab4cc673a04699405
https://doi.org/10.1145/3450767
https://doi.org/10.1145/3450767
Publikováno v:
BDCAT
The growth in observational data volumes over the past decade has occurred alongside a need to make sense of the phenomena that underpin them. Visualization is a key component of the data wrangling process that precedes the analyses that informs thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22a244eea88d5b52a8940ece2fa85b6e
https://doi.org/10.1109/bdcat50828.2020.00003
https://doi.org/10.1109/bdcat50828.2020.00003
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 28:3553-3569
Data Streams occur naturally in several observational settings and often need to be processed with a low latency. Streams pose unique challenges: they have no preset lifetimes, the traffic on these streams may be bursty, and data arrival rates on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c79d6864c8c2dbd7e2fd9c5697e49ea
https://doi.org/10.1109/tpds.2017.2723403
https://doi.org/10.1109/tpds.2017.2723403
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 29:2552-2566
Networked observational devices have proliferated in recent years, contributing to voluminous data streams from a variety of sources and problem domains. These streams often have a spatiotemporal component and include multidimensional features of int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::238906de3d32688a5bed32130ba95298
https://doi.org/10.1109/tkde.2017.2734661
https://doi.org/10.1109/tkde.2017.2734661
Publikováno v:
IEEE BigData
There has been an exponential growth in data volumes in several domains. Often these voluminous datasets encompass a large number of features. Fitting models to such high-dimensional, voluminous data allows us to understand phenomena and inform decis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c20de38bf1023ed44312eb0e3f0d3a9
https://doi.org/10.1109/bigdata.2018.8622279
https://doi.org/10.1109/bigdata.2018.8622279
Autor:
Indrakshi Ray, Thilina Buddhika
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db6af0bddef425cf5d361285aa93d001
https://doi.org/10.1007/978-1-4899-7993-3_331-3
https://doi.org/10.1007/978-1-4899-7993-3_331-3
Autor:
Thilina Buddhika, Shrideep Pallickara
Publikováno v:
IPDPS
Improvements in miniaturization and networking capabilities of sensors have contributed to the proliferation of Internet of Things (IoT) and continuous sensing environments. Data streams generated in such settings must keep pace with generation rates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c630c5a80e8e37679fb7d26629c6d2
https://doi.org/10.1109/ipdps.2016.43
https://doi.org/10.1109/ipdps.2016.43
Publikováno v:
SPIE Proceedings.
Battlefield monitoring involves collecting streaming data from different sources, transmitting the data over a heterogeneous network, and processing queries in real-time in order to respond to events in a timely manner. Nodes in these networks differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96ee13426c920fe568ff40a692d7ed1e
https://doi.org/10.1117/12.2053934
https://doi.org/10.1117/12.2053934