Design, implementation, and evaluation of highly available distributed call processing systems

2002 ◽  
Author(s):  
K. Murakami ◽  
R.W. Buskens ◽  
R. Ramjee ◽  
Yow-Jian Lin ◽  
T.E. LaPorta
Keyword(s):  
Call Processing

Emergency call processing and survival from out-of-hospital ventricular fibrillation

Resuscitation ◽  
2005 ◽  
Vol 67 (1) ◽  
pp. 89-93 ◽  
Author(s):  
Markku Kuisma ◽  
James Boyd ◽  
Taneli Väyrynen ◽  
Jukka Repo ◽  
Maria Nousila-Wiik ◽  
...  
Keyword(s):  
Ventricular Fibrillation ◽  
Emergency Call ◽  
Call Processing

Service Features and Call Processing Plan

1969 ◽  
Vol 48 (8) ◽  
pp. 2713-2764 ◽  
Author(s):  
Robert J. Andrews ◽  
John J. Driscoll ◽  
John A. Herndon ◽  
Philip C. Richards ◽  
L. Ralph Roberts
Keyword(s):  
Call Processing

9-1-1 EMS Process in the Loma Prieta Earthquake

1992 ◽  
Vol 7 (4) ◽  
pp. 348-358 ◽  
Author(s):  
Charles C. Thiel ◽  
James E. Schneider ◽  
Donald Hiatt ◽  
Michael E. Durkin
Keyword(s):  
Life Support ◽  
Advanced Life Support ◽  
Medical Emergency ◽  
Santa Cruz ◽  
Loma Prieta Earthquake ◽  
Emergency Response System ◽  
Normal Number ◽  
Call Processing ◽  
Loma Prieta ◽  
Very High

AbstractThe Santa Cruz County 9-1-1 emergency response system was taxed severely with over 1,000 calls during the first seven hours following the Loma Prieta earthquake. It remained functional and responsive, making 229 ambulance runs in the 72-hour period following the earthquake. Initially, the demand was very high compared to normal, but decreased to slightly greater than normal levels during the second day. A fewer than normal number of advanced life support transports were required, and the number of vehicular accident cases were fewer than normal following the earthquake. The 9-1-1 center adopted an abbreviated procedure and only attempted to determine if the call was a medical emergency and the location for dispatch. During the initial emergency period, there were an unusually low proportion of transports and an unusually high number of cases in which the patient was not located. The medical system in Santa Cruz County was able to accommodate the injury load: the health care system was extensive; its three community hospitals were not damaged severely; and there was light demand.Based on this experience, a revised 9-1-1 emergency medical services (EMS) procedure is recommended for disaster periods: 1) the dispatcher inquires whether the patient can be transported by other means; 2) the caller is asked to explain the need for an ambulance in order to assign a priority to the request; and 3) the caller is asked to cancel the call if there no longer is a need. This procedure is expected to improve disaster management of limited ambulance resources during and following a disaster, while maintaining rapid call processing.

Sengupta's invariant relationship and its application to waiting time inference

1997 ◽  
Vol 34 (03) ◽  
pp. 795-799 ◽  
Author(s):  
Hiroshi Toyoizumi
Keyword(s):  
Waiting Time ◽  
Sojourn Time ◽  
Time Distribution ◽  
Service Process ◽  
Switching Systems ◽  
Waiting Time Distribution ◽  
Call Processing ◽  
Virtual Waiting Time ◽  
Fifo Queue ◽  
Invariant Relationship

This paper presents a new proof of Sengupta's invariant relationship between virtual waiting time and attained sojourn time and its application to estimating the virtual waiting time distribution by counting the number of arrivals and departures of a G/G/1 FIFO queue. Since this relationship does not require any parametric assumptions, our method is non-parametric. This method is expected to have applications, such as call processing in communication switching systems, particularly when the arrival or service process is unknown.

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