scholarly journals Evaluating the Impact of Data Transfer Time in Contact-Based Messaging Applications

2015 ◽  
Vol 19 (10) ◽  
pp. 1814-1817 ◽  
Author(s):  
Enrique Hernandez-Orallo ◽  
Jorge Herrera-Tapia ◽  
Juan-Carlos Cano ◽  
Carlos T. Calafate ◽  
Pietro Manzoni
2007 ◽  
Vol 2007 ◽  
pp. 1-9 ◽  
Author(s):  
Peter Počta ◽  
Peter Kortiš ◽  
Martin Vaculík

This paper describes measurements of the impact of background traffic on speech quality in an environment of WLANs (IEEE 802.11). The simulated background traffic consists of three types of current traffics in telecommunication networks such as data transfer service, multimedia streaming service, and Web service. The background traffic was generated by means of the accomplished Distributed Internet Traffic Generator (D-ITG). The impact of these types of traffic and traffic load on speech quality using the test sequence and speech sequences is the aim of this paper. The assessment of speech quality is carried out by means of the accomplished Perceptual Evaluation of Speech Quality (PESQ) algorithm. The proposal of a new method for improved detection of the critical conditions in wireless telecommunication networks from the speech quality point of view is presented in this paper. Conclusion implies the next application of the method of improved detection of critical conditions for the purpose of algorithms for link adaptation from the speech quality point of view in an environment of WLANs. The primary goal of these algorithms is improving speech quality in the VoWLAN connections, which are established in the competent link.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Tzu-Ching Wu ◽  
Navdeep Sangha ◽  
Feryal N Elorr ◽  
Edgar Olivas ◽  
Christy M Ankrom ◽  
...  

Background: The transfer process for patients with large vessel occlusions from a community hospital to an intra-arterial therapy (IAT)-capable center often involves multiple teams of physicians and administrative personnel, leading to delays in care. Objective We compared time metrics for spoke drip-and-ship telemedicine (TM) patients transferred for IAT to comprehensive stroke centers (CSC) in two different health systems: Kaiser Permanente (KP) with an integrated health care system of spokes and a 50 mile range using ambulances for transfer vs UTHealth (UTH), where patients are transferred by helicopter from varying health systems ranging up to 200 miles from the hub. Methods: We retrospectively identified patients in the KP and UTH networks transferred from TM spokes to the CSC (KP—6 spokes and UTH -17 spokes). From 9/15 to 4/16, a total of 79 TM patients (KP-28 patients, UTH-51 patients) were transferred to the respective hubs for evaluation of IAT. Baseline clinical data, transfer, and IAT metrics were abstracted. Results: On average, it takes ~90 minutes for a TM patient to arrive at the CSC hub once accepted by the transfer center. Patients in the KP Network arrive at the hub faster than UTH patients, but IAT metrics/outcomes are comparable. Over 50% of the patients did not undergo IAT on hub arrival mostly due to lack of clot on CTA (20/45) or symptom improvement (9/45). Conclusion: In two large, yet different TM networks, the transfer time from spoke to hub needs to be shortened. Areas for improvement include spoke arrival to transfer acceptance and transfer acceptance to hub arrival. A prospective study is underway to develop best practice time parameters for this complex process of identifying and transferring patients eligible for IAT.


1999 ◽  
Vol 23 (1B) ◽  
pp. 117-127
Author(s):  
R. Lykins ◽  
M. Ramalingam ◽  
B. Donovan ◽  
E. Durkin ◽  
J. Beam

A computerized analytical program is being developed to help investigate the impact of power system requirements on aircraft performance. The program has an user interface that operates in MS-EXCEL, linking several subsystems analysis programs for execution and data transfer in the power systems analysis. The program presently includes an encoded propulsion engine cycle code, which allows the inspection of power extraction effects on engine performance. To validate the results of the encoded engine program, a study was conducted to investigate the separate effects of shaft power extraction and pneumatic bleed. The selected engine cycle was that for a standard tactical fighter, with a flight condition of varied altitude (sea level to 40,000 ft) and constant Mach Number (0.9). As expected the resultant data showed that the engine performance was more sensitive to pneumatic bleed than to shaft power extraction. The paper’s efficiency comparisons between shaft power and bleed air power helps indicate the higher efficiency for the power system of a more-electric type aircraft. Present efforts on the analytical interface are to incorporate a fuel thermal management analysis capability.


2014 ◽  
Vol 685 ◽  
pp. 306-309
Author(s):  
Hao Wang ◽  
Ze Yu Han

Visible light communication technology is a emerging wireless and optical communication technology developed after invention and application of white LED.In this paper, we have a research based on indoor visible light communication system of lighting white LED,discuss of the visible light communication channel characteristics,detailedly analysis of the indoor visible light communication link. This paper focuses on the modulation and demodulation method applied to visible light communication. In the past visible light communication is mainly used off keying modulation,however, the data transfer speed is limited due to the influence of ISI .This paper presents a solution based on OFDM modulation and demodulation, to reduce the impact brought from inter-symbol string under high data transfer speed.Based on data analysis and computer simulation,the program presented in this paper can be used as indoor lighting and high-speed data transmission.Finally, give scheme to achieve visible light communication modulation and demodulation,provide a theoretical basis for further experiments.


2014 ◽  
Vol 37 ◽  
pp. 321-334 ◽  
Author(s):  
Javid Taheri ◽  
Albert Y. Zomaya ◽  
Howard Jay Siegel ◽  
Zahir Tari

Author(s):  
X. Tan ◽  
L. Di ◽  
M. Deng ◽  
A. Chen ◽  
Z. Sun ◽  
...  

Flooding caused serious losses in China in the past two decades; therefore, responding to and mitigating the impact of flooding is a task of critical importance. The traditional flood response process is usually very time-consuming and labor-intensive. The Service-Oriented Architecture (SOA)-based flood response is a method with low efficiency due to the large volume of geospatial data transfer, and this method cannot meet the real-time requirement of a rapid response to flooding. This paper presents an Agent- and Cloud-supported geospatial service aggregation to obtain a more efficient geospatial service system for the response to flooding. The architecture of this method is designed and deployed on the Cloud environment, and the flooding response prototype system is built on the Amazon AWS Cloud to demonstrate that the proposed method can avoid transferring large volumes of geospatial data or Big Spatial Data. Consequently, this method is able to achieve better performance than that of the SOA-based method.


2019 ◽  
Vol 20 (2) ◽  
pp. 237-258
Author(s):  
Avinash Kaur ◽  
Pooja Gupta ◽  
Manpreet Singh

Scientific Workflow is a composition of both coarse-grained and fine-grained computational tasks displaying varying execution requirements. Large-scale data transfer is involved in scientific workflows, so efficient techniques are required to reduce the makespan of the workflow. Task clustering is an efficient technique used in such a scenario that involves combining multiple tasks with shorter execution time into a single cluster to be executed on a resource. This leads to a reduction of scheduling overheads in scientific workflows and thus improvement of performance. However available task clustering methods involve clustering the tasks horizontally without the consideration of the structure of tasks in a workflow. We propose hybrid balanced task clustering algorithm that uses the parameter of impact factor of workflows along with the structure of workflow. According to this technique, tasks can be considered for clustering either vertically or horizontally based on the value of the impact factor. This minimizes the system overheads and the makespan for execution of a workflow. A simulation based evaluation is performed on real workflows that shows the proposed algorithm is efficient in recommending clusters. It shows improvement of 5-10\% in makespan time of workflow depending on the type of workflow used.


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