A new quality of service metric for hard/soft real-time applications

2004 ◽  
Author(s):  
Shaoxiong Hua ◽  
Gang Qu
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Real Time Applications

Data Storage in Cloud Based Real-Time Environments

2011 ◽  
pp. 236-258
Author(s):  
Sai Narasimhamurthy ◽  
Malcolm Muggeridge ◽  
Stefan Waldschmidt ◽  
Fabio Checconi ◽  
Tommaso Cucinotta
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Data Storage ◽  
Storage System ◽  
Cloud Environment ◽  
Last Mile ◽  
Service Oriented ◽  
Real Time Applications ◽  
Direct Applicability

The service oriented infrastructures for real-time applications (“real-time clouds1”) pose certain unique challenges for the data storage subsystem, which indeed is the “last mile” for all data accesses. Data storage subsystems typically used in regular enterprise environments have many limitations which impedes direct applicability for such clouds, particularly in their ability to provide Quality of Service (QoS) for applications. Provision of QoS within storage is possible through a deeper understanding of the behaviour of the storage system under a variety of conditions dictated by the application and the network infrastructure. We intend to arrive at a QoS mechanism for data storage keeping in view the important parameters that come into play for the storage subsystem in a soft real-time cloud environment.

scholarly journals Energy efficiency and quality of service optimization for constant bit rate real-time applications in 802.11 networks

2012 ◽  
Vol 14 (6) ◽  
pp. 583-595 ◽  
Author(s):  
Juan Jimenez ◽  
Rafael Estepa ◽  
Antonio Estepa ◽  
Francisco R. Rubio ◽  
Fabio Gómez-Estern
Keyword(s):  
Energy Efficiency ◽  
Quality Of Service ◽  
Real Time ◽  
Bit Rate ◽  
802.11 Networks ◽  
Constant Bit Rate ◽  
Real Time Applications ◽  
Service Optimization

Multicast of Multimedia Data

2008 ◽  
pp. 1781-1788
Author(s):  
Christos Bouras ◽  
Apostolos Gkamas ◽  
Dimitris Primpas ◽  
Kostas Stamos
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Heterogeneous Network ◽  
Multimedia Data ◽  
The Other ◽  
The Internet ◽  
Service Guarantees ◽  
Tcp Friendly ◽  
Real Time Applications

The heterogeneous network environment that Internet provides to real time applications as well as the lack of sufficient QoS (Quality of Service) guarantees, many times forces applications to embody adaptation schemes in order to work efficiently. In addition, any application that transmits data over the Internet should have a friendly behaviour towards the other flows that coexist in today’s Internet and especially towards the TCP flows that comprise the majority of flows. We define as TCP friendly flow, a flow that consumes no more bandwidth than a TCP connection, which is traversing the same path with that flow (Pandhye 1999).

Multicast of Multimedia Data

2008 ◽  
pp. 316-322
Author(s):  
Christos Bouras ◽  
Apostolos Gkamas ◽  
Dimitris Primpas ◽  
Kostas Stamos
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Heterogeneous Network ◽  
Multimedia Data ◽  
The Other ◽  
The Internet ◽  
Service Guarantees ◽  
Tcp Friendly ◽  
Real Time Applications

The heterogeneous network environment that Internet provides to real time applications as well as the lack of sufficient QoS (Quality of Service) guarantees, many times forces applications to embody adaptation schemes in order to work efficiently. In addition, any application that transmits data over the Internet should have a friendly behaviour towards the other flows that coexist in today’s Internet and especially towards the TCP flows that comprise the majority of flows. We define as TCP friendly flow, a flow that consumes no more bandwidth than a TCP connection, which is traversing the same path with that flow (Pandhye 1999).

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