Service convergence using MPLS multiservice networks

2005 ◽  
Vol 43 (6) ◽  
pp. 152-159 ◽  
Author(s):  
M. Bocci ◽  
M. Aissaoui ◽  
D. Watkinson
Keyword(s):  
Multiservice Networks ◽  
Service Convergence

Integrating and managing converged multiservice networks

2005 ◽  
Vol 10 (1) ◽  
pp. 139-156 ◽  
Author(s):  
Nikhil B. Shah ◽  
Sukant K. Mohapatra
Keyword(s):  
Multiservice Networks

scholarly journals POWER FOR PROCESSING APPLICATION FLOWS AND QUEUE SIZES IN MASS SERVICE SYSTEMS

T-Comm ◽  
2020 ◽  
Vol 14 (9) ◽  
pp. 10-16
Author(s):  
Boris Ya. Lichtzinder ◽  
◽  
Igor A. Blatov ◽  
Keyword(s):  
Queuing Theory ◽  
Load Factor ◽  
Cyclic Process ◽  
Variable Component ◽  
Strongly Correlated ◽  
Processing Application ◽  
Conditional Average ◽  
Multiservice Networks ◽  
Processing Power ◽  
Average Size

The classical queuing theory studies time series processing under the assumption of sampling independence. However, the traffic of modern multiservice networks is usually strongly correlated and the methods of classical theory do not work. In this paper, we consider the cyclic process of queuing, conditional and unconditional mutual correlations. Conditional average values of queues are considered. The concept of processing power of the flow of applications in queuing systems (QS) is introduced. It is shown that the variable component of the indicated power is determined by the change in the load factor and corresponds to the conditional average size of the queue of applications in the QS.

scholarly journals Sensor-as-a-Service: Convergence of Sensor Analytic Point Solutions (SNAPS) and Pay-A-Penny-Per-Use (PAPPU) Paradigm as a Catalyst for Democratization of Healthcare in Underserved Communities

Diagnostics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 22 ◽  
Author(s):  
Victoria Morgan ◽  
Lisseth Casso-Hartmann ◽  
David Bahamon-Pinzon ◽  
Kelli McCourt ◽  
Robert G. Hjort ◽  
...  
Keyword(s):  
Low Income ◽  
Economically Disadvantaged ◽  
Technology Development ◽  
Point Of Care ◽  
Diagnostic Tools ◽  
Marginalized Communities ◽  
Community Environment ◽  
Service Convergence ◽  
The Social

In this manuscript, we discuss relevant socioeconomic factors for developing and implementing sensor analytic point solutions (SNAPS) as point-of-care tools to serve impoverished communities. The distinct economic, environmental, cultural, and ethical paradigms that affect economically disadvantaged users add complexity to the process of technology development and deployment beyond the science and engineering issues. We begin by contextualizing the environmental burden of disease in select low-income regions around the world, including environmental hazards at work, home, and the broader community environment, where SNAPS may be helpful in the prevention and mitigation of human exposure to harmful biological vectors and chemical agents. We offer examples of SNAPS designed for economically disadvantaged users, specifically for supporting decision-making in cases of tuberculosis (TB) infection and mercury exposure. We follow-up by discussing the economic challenges that are involved in the phased implementation of diagnostic tools in low-income markets and describe a micropayment-based systems-as-a-service approach (pay-a-penny-per-use—PAPPU), which may be catalytic for the adoption of low-end, low-margin, low-research, and the development SNAPS. Finally, we provide some insights into the social and ethical considerations for the assimilation of SNAPS to improve health outcomes in marginalized communities.

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