scholarly journals ScienceIoT: Evolution of the Wireless Infrastructure of KREONET

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5852
Author(s):  
Cheonyong Kim ◽  
Joobum Kim ◽  
Ki-Hyeon Kim ◽  
Sang-Kwon Lee ◽  
Kiwook Kim ◽  
...  
Keyword(s):  
High Performance ◽  
Area Network ◽  
Distributed Data ◽  
Wide Area Network ◽  
Scientific Applications ◽  
Computing Platform ◽  
Distributed Data Processing ◽  
Research And Education ◽  
Education Network ◽  
Wireless Infrastructure

Here, we introduce the current stage and future directions of the wireless infrastructure of the Korea Research Environment Open NETwork (KREONET), a representative national research and education network in Korea. In 2018, ScienceLoRa, a pioneering wireless network infrastructure for scientific applications based on low-power wide-area network technology, was launched. Existing in-service applications in monitoring regions, research facilities, and universities prove the effectiveness of using wireless infrastructure in scientific areas. Furthermore, to support the more stringent requirements of various scientific scenarios, ScienceLoRa is evolving toward ScienceIoT by employing high-performance wireless technology and distributed computing capability. Specifically, by accommodating a private 5G network and an integrated edge computing platform, ScienceIoT is expected to support cutting-edge scientific applications requiring high-throughput and distributed data processing.

Evaluating the Effectiveness of Live Interactive Virtual Explorations Involving a Hard-to-Reach Native American Earth Lodge and a Pacific Island Volcanoes Site

2011 ◽  
Vol 16 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Kimberly Mann Bruch ◽  
Hans-Werner Braun ◽  
Susan Teel
Keyword(s):  
Native American ◽  
National Park ◽  
National Science Foundation ◽  
High Performance ◽  
National Park Service ◽  
Washington Dc ◽  
Historic Site ◽  
Park Service ◽  
Research And Education ◽  
Education Network

For several years, National Park Service scientists, historians, and educators have been working with National Science Foundation-funded High Performance Wireless Research and Education Network (HPWREN) researchers on developing, implementing, and evaluating Live Interactive Virtual Explorations (LIVE) at several sites. The LIVE activities utilize computers with headsets and microphones to link National Park Service sites with an array of audiences. The two case studies in this paper examine the effectiveness of LIVE activities that allow Washington, DC, inner-city youth to explore two hard-to-reach National Park Service sites: Knife River Indian Villages National Historic Site in North Dakota and the Hawaii Volcanoes National Park.

Live Interactive Virtual Explorations at a Southern California Native American Learning Center

2010 ◽  
Vol 12 (3) ◽  
pp. 62-74
Author(s):  
Kimberly Mann Bruch ◽  
Hans-Werner Braun ◽  
Susan Teel
Keyword(s):  
Native American ◽  
Case Studies ◽  
High Performance ◽  
Southern California ◽  
Pilot Project ◽  
Learning Center ◽  
Tribal Community ◽  
Advantages And Disadvantages ◽  
Research And Education ◽  
Education Network

For the past decade, researchers affiliated with the National Science Foundation-funded High Performance Wireless Research and Education Network (HPWREN) have been working with Native American education communities on an array of Internet-enabled activities, including the Live Interactive Virtual Explorations (LIVE) pilot project. One of the communities involved with the pilot LIVE project is the Pala Native American Learning Center, which is located in rural San Diego County, California. This paper discusses five case studies encompassing LIVE activities between Pala tribal community members and field scientists/educators throughout southern California. Using laptops equipped with off-the-shelf accessories and freeware, the five pilot case studies demonstrate the advantages and disadvantages of utilizing the LIVE concept for real-time distance education programs at rural Native American communities.

Banet — a local area network for distributed data processing

1984 ◽  
Vol 7 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Isamu Yoshida ◽  
Hajime Kishida ◽  
Haruaki Yamazaki
Keyword(s):  
Data Processing ◽  
Local Area Network ◽  
Local Area ◽  
Area Network ◽  
Distributed Data ◽  
Distributed Data Processing

scholarly journals Apache Nemo: A Framework for Optimizing Distributed Data Processing

2020 ◽  
Vol 38 (3-4) ◽  
pp. 1-31
Author(s):  
Won Wook Song ◽  
Youngseok Yang ◽  
Jeongyoon Eo ◽  
Jangho Seo ◽  
Joo Yeon Kim ◽  
...  
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Programming Model ◽  
Compiler Optimization ◽  
Ease Of Use ◽  
Distributed Data ◽  
Performance Improvements ◽  
Distributed Data Processing ◽  
Fine Control ◽  
High Level

Optimizing scheduling and communication of distributed data processing for resource and data characteristics is crucial for achieving high performance. Existing approaches to such optimizations largely fall into two categories. First, distributed runtimes provide low-level policy interfaces to apply the optimizations, but do not ensure the maintenance of correct application semantics and thus often require significant effort to use. Second, policy interfaces that extend a high-level application programming model ensure correctness, but do not provide sufficient fine control. We describe Apache Nemo, an optimization framework for distributed dataflow processing that provides fine control for high performance and also ensures correctness for ease of use. We combine several techniques to achieve this, including an intermediate representation of dataflow, compiler optimization passes, and runtime extensions. Our evaluation results show that Nemo enables composable and reusable optimizations that bring performance improvements on par with existing specialized runtimes tailored for a specific deployment scenario. Apache Nemo is open-sourced at https://nemo.apache.org as an Apache incubator project.

Conceptual scenarios for development of ground infrastructure for receiving mission payload data from a perspective Earth remote sensing satellite constellation

2021 ◽  
pp. 119-129
Author(s):  
Maksim ERESHKO ◽  
◽  
Andrey BORISOV
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
System Level ◽  
Area Network ◽  
Wide Area Network ◽  
Satellite Constellation ◽  
Ground Segment ◽  
System A ◽  
The Status ◽  
Further Development

In view of the considerable number of elements in space and ground segments of a heterogeneous space ERS system, a mechanism is required for developing its concepts with obtaining refined baseline data for determining measures to optimize the ERS ground segment configuration geography-wise and outfit receiving systems for receiving mission payload data from high-performance ERS satellites. The development trends for equipment and technologies for mission payload data are given, in particular the status of the high backbone network in order to determine possible locations for of a space ERS system. Indicators are introduced which the capabilities of a wide-area network of remote sensing ground transmitting ERS data rate optical segment elements systemically characterize data receiving stations. Based on the obtained data, system-level patterns were determined in the development of the ground segment for receiving the ERS mission payload data depending on the state of the ERS satellite constellation, driving further development of strategy for the ERS ground infrastructure.

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