Real time regional mobility energy feature approximation‐based secure routing for improved quality of service in MANET

Рассмотрены принципы обеспечения заданного уровня качества обслуживания QoS в беспроводных сетях, позволяющие достигнуть устойчивого функционирования программных приложений реального времени за счет тонкой настройки приоритезации генерируемого ими трафика. Основное внимание уделяется механизму управления доступом на основе конкуренции и контролируемого доступа, а также их расширениям. Затронуты вопросы инкапсуляции базовых механизмов управления в решения более высоких уровней EDCA и TXOP. Приведены расчетные значения соответствующих параметров. The principles of ensuring a given level of quality of QoS service in wireless networks are considered, which allow achieving the stable functioning of real-time software applications by fine-tuning the prioritization of the traffic generated by them. The main focus is on the competition-based access control mechanism and controlled access, as well as their extensions. The issues of encapsulation of basic control mechanisms in solutions of higher levels of EDCA and TXOP are touched upon. The calculated values of the corresponding parameters are given.

Download Full-text

Quality of Service for non-real-time Internet applications

Telecommunications Quality of Service Management ◽

10.1049/pbte048e_ch12 ◽

2011 ◽

pp. 211-228

Keyword(s):

Quality Of Service ◽

Real Time ◽

Internet Applications

Download Full-text

Data Storage in Cloud Based Real-Time Environments

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Achieving Real-Time in Distributed Computing ◽

10.4018/978-1-60960-827-9.ch013 ◽

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.

Download Full-text