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.

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

2021 ◽  
pp. 140-150
Author(s):  
Maksim V. ERESHKO ◽  
Andrey V. BORISOV
Keyword(s):  
Remote Sensing ◽  
High Performance ◽  
Growth Strategy ◽  
System Level ◽  
Current Status ◽  
Earth Remote Sensing ◽  
High Data ◽  
Ground Segment ◽  
Space Infrastructure ◽  
Orbital Constellation

The paper addresses the problem of cooperative development of ground space infrastructure and orbital constellation of Earth remote sensing spacecraft (ERS). In view of the considerable number of elements in space and ground segments of a heterogenous space ERS system, a mechanism is required for developing its concepts involving acquiring updated inputs for determining measures to optimize the ERS ground segment configuration geography-wise and outfit receiving systems for receiving the mission payload data from high-performance ERS spacecraft. The paper describes trends in the development of equipment and technologies for transmitting ERS mission payload data, in particular, the current status of the high data rate optical backbone network in order to determine possible locations for ERS Ground Segment elements. It introduces indicators which provide system-level characterization of the capabilities for a distributed network of 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 orbital constellation, driving further development of growth strategy for the ERS ground space infrastructure. Key words: Earth remote sensing, concept, mission payload data, receiving system, data reception station.

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.

scholarly journals Fault Tolerance Based Load Balancing Approach for Web Resources in Cloud Environment

2019 ◽  
Vol 17 (2) ◽  
pp. 225-232 ◽  
Author(s):  
Anju Shukla ◽  
Shishir Kumar ◽  
Harikesh Singh
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Resource Selection ◽  
High Performance ◽  
Low Cost ◽  
Area Network ◽  
Wide Area Network ◽  
Task Execution ◽  
Index Value

Cloud computing consists group of heterogeneous resources scattered around the world connected through the network. Since high performance computing is strongly interlinked with geographically distributed service to interact with each other in wide area network, Cloud computing makes the architecture consistent, low-cost, and well-suited with concurrent services. This paper presents a fault tolerance load balancing technique based on resource load and fault index value. The proposed technique works in two phases: resource selection and task execution. The resource selection phase selects the suitable resource for task execution. A resource with least resource load and fault index value is selected for task execution. Further task execution phase sets checkpoints at various intervals for saving the task state periodically. The checkpoints are set at various intervals based on resource fault index. When a task is executed on a resource, fault index value of selected resource is updated accordingly. This reduces the checkpoint overhead by avoiding unnecessary placements of checkpoints. The proposed model is validated on CloudSim and provides improved performance in terms of response time, makespan, throughput and checkpoint overhead in comparison to other state-of-the-art methods.

scholarly journals Performance of LoRaWAN for Handling Telemetry and Alarm Messages in Industrial Applications

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3061 ◽  
Author(s):  
Francisco Helder C. dos Santos Filho ◽  
Plínio S. Dester ◽  
Elvis M. G. Stancanelli ◽  
Paulo Cardieri ◽  
Pedro H. J. Nardelli ◽  
...  
Keyword(s):  
High Reliability ◽  
Industrial Applications ◽  
System Level ◽  
Industrial Plant ◽  
Area Network ◽  
Wide Area Network ◽  
System Level Simulation ◽  
Random Events ◽  
Strict Requirement ◽  
Allocation Strategies

This paper analyzes the feasibility of the coexistence of telemetry and alarm messages employing Long-Range Wide-Area Network (LoRaWAN) technology in industrial environments. The regular telemetry messages come from periodic measurements from the majority of sensors while the alarm messages come from sensors whose transmissions are triggered by rarer (random) events that require highly reliable communication. To reach such a strict requirement, we propose here strategies of allocation of spreading factor, by treating alarm and regular (telemetry) messages differently. The potential of such allocation strategies has also been investigated under retransmission and diversity of gateways. Both indoor industrial plant and open-field scenarios are investigated. We compare the proposed solution with a benchmark scenario—where no alarm is considered—by using system level simulation. Our results show that it is possible to achieve high reliability with reasonably low delay for the alarm messages without significantly affecting the performance of the regular links.

Characterization of Wide Area Network Computing

2000 ◽  
Author(s):  
Christopher J. Freitas ◽  
Derrick B. Coffin ◽  
Richard L. Murphy
Keyword(s):  
Message Passing ◽  
High Performance ◽  
Local Area ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Network Computing ◽  
Distributed Parallel Computing ◽  
International Border

Abstract Distributed parallel computing using message-passing techniques on Networks of Workstations (NOW) has achieved widespread use in the context of Local Area Networks (LAN). Recently, the concept of Grid-based computing using Wide Area Networks (WAN) has been proposed as a general solution to distributed high performance computing. The use of computers and resources at different geographic locations connected by a Wide Area Network and executing a real application introduces additional variables that potentially complicate the efficient use of these resources. Presented here are the results of a study that begins to characterize the performance issues of a WAN-based NOW, connecting resources that span an international border.

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