Implementing reliable event streams in large systems via distributed data flows and recursive delegation

2009 ◽  
Author(s):  
Krzysztof Ostrowski ◽  
Ken Birman ◽  
Danny Dolev ◽  
Chuck Sakoda
Keyword(s):  
Distributed Data ◽  
Data Flows ◽  
Large Systems

scholarly journals Aesthetic Archives

2016 ◽  
Vol 41 (1) ◽  
pp. 11-23
Author(s):  
Michael Takeo Magruder ◽  
Jeremy Pilcher
Keyword(s):  
New Media ◽  
Real Time ◽  
Emerging Technologies ◽  
Distributed Data ◽  
Time Data ◽  
The Real ◽  
New Media Art ◽  
Data Flows ◽  
Real Time Data ◽  
Visual Artist

Michael Takeo Magruder, visual artist and researcher, discusses his digital and new media art and practice with Jeremy Pilcher, lawyer and academic, whose research engages with the intersection of art and law. Takeo's work asks viewers to question their relationship both to and within the real-time data flows generated by emerging technologies and the implications these have for archives. His art concerns the way institutions use such systems to create narratives that structure societies. This conversation discusses how Takeo's practice invites us, as individuals, to critically reflect on the implications of the stories that are both told to and about us by using gathered and distributed data.

Bi-objective Traffic Optimization in Geo-distributed Data Flows

2019 ◽  
Vol 16 ◽  
pp. 36-48 ◽  
Author(s):  
Anna-Valentini Michailidou ◽  
Anastasios Gounaris
Keyword(s):  
Distributed Data ◽  
Data Flows ◽  
Traffic Optimization

Adaptive rerouting of data flows in distributed data Centers

2017 ◽  
Vol 52 ◽  
pp. 505-509 ◽  
Author(s):  
Vyacheslav Koryachko ◽  
Dmitry Perepelkin ◽  
Maria Ivanchikova
Keyword(s):  
Data Centers ◽  
Distributed Data ◽  
Data Flows

Composition of engineering web services with distributed data-flows and computations

2005 ◽  
Vol 19 (1) ◽  
pp. 25-42 ◽  
Author(s):  
David Liu ◽  
Jun Peng ◽  
Kincho H. Law ◽  
Gio Wiederhold ◽  
Ram D. Sriram
Keyword(s):  
Web Services ◽  
Distributed Data ◽  
Data Flows

scholarly journals TNT: A Tactical Network Test platform to evaluate military systems over ever-changing scenarios

2021 ◽  
Author(s):  
Paulo H. Rettore ◽  
Johannes Loevenich ◽  
Roberto Rigolin F. Lopes ◽  
Peter Sevenich
Keyword(s):  
Distributed Data ◽  
Military Operations ◽  
Test Scenario ◽  
Test Methodology ◽  
Data Flows ◽  
Test Platform ◽  
User Data ◽  
Military Systems ◽  
Network Metrics ◽  
The Military

This paper addresses the challenge of testing military systems and applications over different communication scenarios with both network conditions and user data flows changing independently. We assume that systems developed to handle ever-changing communication scenarios are more likely to be reliable and robust during real military operations. Therefore, we propose the Tactical Network Test (TNT) platform to automate the evaluation of military systems and applications over real military radios using a reproducible test methodology. TNT has four main goals (i) the creation of QoS-constrained data flows; (ii) the execution of models to change network conditions; (iii) a performance evaluation of a military system over ever-changing conditions; and (iv) the monitoring and performing data analysis. Our platform was used to execute experiments in a VHF network by sending uniformly distributed data flows during seven different communication scenarios, either generated by a stochastic model or mobility models. The experimental results are used to discuss the military system's performance by quantitative analysis using network metrics and the test scenario characterization through mobility metrics.

scholarly journals TNT: A Tactical Network Test platform to evaluate military systems over ever-changing scenarios

2021 ◽  
Author(s):  
Paulo H. Rettore ◽  
Johannes Loevenich ◽  
Roberto Rigolin F. Lopes ◽  
Peter Sevenich
Keyword(s):  
Distributed Data ◽  
Military Operations ◽  
Test Scenario ◽  
Test Methodology ◽  
Data Flows ◽  
Test Platform ◽  
User Data ◽  
Military Systems ◽  
Network Metrics ◽  
The Military

This paper addresses the challenge of testing military systems and applications over different communication scenarios with both network conditions and user data flows changing independently. We assume that systems developed to handle ever-changing communication scenarios are more likely to be reliable and robust during real military operations. Therefore, we propose the Tactical Network Test (TNT) platform to automate the evaluation of military systems and applications over real military radios using a reproducible test methodology. TNT has four main goals (i) the creation of QoS-constrained data flows; (ii) the execution of models to change network conditions; (iii) a performance evaluation of a military system over ever-changing conditions; and (iv) the monitoring and performing data analysis. Our platform was used to execute experiments in a VHF network by sending uniformly distributed data flows during seven different communication scenarios, either generated by a stochastic model or mobility models. The experimental results are used to discuss the military system's performance by quantitative analysis using network metrics and the test scenario characterization through mobility metrics.

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