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Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …
pervasiveness of compute and data have resulted in the proliferation of edge applications …
The ocean observatories initiative
The Ocean Observatories Initiative (OOI) is an integrated network that enables scientific
investigation of interlinked physical, chemical, biological and geological processes …
investigation of interlinked physical, chemical, biological and geological processes …
Gapprox: using gallup approach for approximation in big data processing
Abstract As Big Data processing often takes a long time and needs a lot of resources,
sampling and approximate computing techniques may be used to generate a desired …
sampling and approximate computing techniques may be used to generate a desired …
SAIR: significance-aware approach to improve QoR of big data processing in case of budget constraint
Nowadays, a wide range of enterprises are faced with big data processing in different
domains such as transaction operations, business calculations and analytical computations …
domains such as transaction operations, business calculations and analytical computations …
Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure
Large scientific facilities provide researchers with instrumentation, data, and data products
that can accelerate scientific discovery. However, increasing data volumes coupled with …
that can accelerate scientific discovery. However, increasing data volumes coupled with …
Challenges in designing edge-based middlewares for the Internet of Things: A survey
The Internet of Things paradigm connects edge devices via the Internet enabling them to be
seamlessly integrated with a wide variety of applications. In recent years, the number of …
seamlessly integrated with a wide variety of applications. In recent years, the number of …
An edge-aware autonomic runtime for data streaming and in-transit processing
One of the major endeavors of modern cyberinfrastructure (CI) is to carry content produced
on remote data sources, such as sensors and scientific instruments, and to deliver it to end …
on remote data sources, such as sensors and scientific instruments, and to deliver it to end …
Platforms for edge computing and internet of things applications: A survey
The Internet of Things fosters an emerging class of analytics that connects sensors, vehicles,
industries, and consumers through the internet to enable scientific and industrial …
industries, and consumers through the internet to enable scientific and industrial …
Programming and Managing Data-driven Applications Between the Edge and the Cloud
EG Renart - 2020 - search.proquest.com
Due to the proliferation of the Internet of Things (IoT), the number of devices connected to
the Internet is growing. These devices are generating large volumes of data at the edge of …
the Internet is growing. These devices are generating large volumes of data at the edge of …
Scheduling edge and in-transit computing resources for stream processing applications
AR Zamani Zadeh Najari - 2019 - rucore.libraries.rutgers.edu
Combining IoT and Cloud computing capability enables the creation of smart environments
that can respond to real-time events, by (a) combining services offered by multiple …
that can respond to real-time events, by (a) combining services offered by multiple …