Pricing the quality of differentiated services for media-oriented real-time applications: A multi-attribute negotiation approach

2008 ◽  
Vol 52 (18) ◽  
pp. 3373-3391 ◽  
Author(s):  
Marco Comuzzi ◽  
Chiara Francalanci ◽  
Paolo Giacomazzi
Keyword(s):  
Real Time ◽  
Differentiated Services ◽  
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

scholarly journals Hierarchical Edge Computing

2019 ◽  
Vol 26 (1) ◽  
pp. 146-169
Author(s):  
Ruslan L. Smeliansky
Keyword(s):  
Real Time ◽  
Mobile Communication ◽  
Communication Technologies ◽  
Edge Computing ◽  
New Paradigm ◽  
Computing Paradigm ◽  
Guaranteed Quality ◽  
Real Time Applications ◽  
New Applications

The computing paradigm based on the giant-like DC is replaced by a new paradigm. The urgency of this shift is caused by the requirements of new applications that actively use video, real-time interactivity, new mobile communication technologies, which today cannot be implemented without the usage of cloud computing and virtualization based on SDN&NFV technologies. The presentation considers the requirements dictated by these applications, outlines the architecture of this new paradigm which we call Hierarchical Edge Computing (HEC). Attention is focused on the fact that all these applications are distributed, become more and more real-time applications and require guaranteed quality of service in the networking operation. The main scientific problems that need to be solved for implementing this new paradigm are discussed.

scholarly journals A Proposed Non Linear Block Based Approach for Image De-Noising Using Wavelet

2013 ◽  
Vol 5 (3) ◽  
pp. 226-231
Author(s):  
Tajinder Singh ◽  
Rajeev Bedi ◽  
S.K Gupta
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Noise Power ◽  
Blocking Artifacts ◽  
Linear Threshold ◽  
Non Linear ◽  
Real Time Applications ◽  
Block Based

Coding of images or processing of images has played a momentous role in the success of digital communications and multimedia. Coding plays a major role is 3D mobile generation. The image processing methods have been exploited through the years to improve the quality of digital images. In the image processing system De-noising based coding is used extensively. As we know that, in low bit rate applications, the blocking artifacts problem arises, which severely reduce the visual quality of the image. Reducing blocking artifacts is essential to render the compressed visual data acceptable to the viewer. So, to detect and reduce noise from the image is a major task. So removing the noise from original signal is still a challenging problem for researchers. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. For real-time applications like television, photo-phone, etc. it is essential to reduce the noise power as much as possible and to retain the fine details and the edges in the image as well. Moreover, it is very important to have very low computational complexity so that the filtering operation is performed in a short time for online and real-time applications. The main focus of this paper is first to define an algorithm and based on that a non linear threshold filter is described which not only preserve the actual image structures in the presence of different types of noises (Salt & peepers, Speckle and Gaussian Noise) as well as it provide better  PSNR, MSE, MAE, & Time Complexity than others Classical algorithms.

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