Sheneela Naz

Work place: Centre of Research in Networks & Telecom, Mohammad Ali Jinnah University Islamabad, Pakistan

E-mail: shahneela.cs@gmail.com

Website:

Research Interests: Computational Engineering, Real-Time Computing, Information Retrieval, Multimedia Information System

Biography

Shahneela Naz: Research scholar at department of computer science, M. A. Jinnah University Islamabad Pakistan. Her research area includes Clustering Classification, Semantic engineering, Text retrieval, Adaptive Real-time Video Multicast Techniques, Layered Video Multicast, Multimedia protocols, Routing and Multimedia Streaming.

Author Articles
A Framework for Real-Time Resource Allocation in IP Multimedia Subsystem Network

By Muhammad Naeem Sheneela Naz Saira Gillani

DOI: https://doi.org/10.5815/ijcnis.2013.03.04, Pub. Date: 8 Mar. 2013

IMS (IP Multimedia Subsystem) is designed to provide multiple-services and can be accessed from any access network. With the advent of new multimedia services; user requirement also changed and required delay tolerant services from the service providers. The new multimedia services demands the restrictions on network parameters and this can be achieved by analyzing the traffic flow from the core as well as access network capabilities. As access and core IMS network are independent of each other and does not exchange user SLA with each other. In this paper we proposed framework based on Session border controller (SBC) that proactively monitored the traffic statistics as well as interact with access network operator for getting user's SLA and reserve resources accordingly. We are also proposing alterations in SIP invite and re-invite message to incorporate requested information. These alterations will be useful in ensuring availability of user's handset capabilities to IMS core network.

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Performance Evaluation of Index Schemes for Semantic Cache

By Sheneela Naz Muhammad Naeem Amir Qayyum

DOI: https://doi.org/10.5815/ijitcs.2013.04.05, Pub. Date: 8 Mar. 2013

In last decade of computing, a growing popularity for semantic cache schemes has been observed. Numerous techniques have been proposed for improved performance of semantic cache. Semantic cache is aimed towards reducing the network traffic load with the ability to address some queries without contacting the server. Semantic cache overcomes the limitations of previous page-caching and tuple-cache techniques. A prime concern of semantic cache includes query processing (query response-time) and cache management. The efficiency of semantic cache can be improved by using semantic indexing sachems. Semantic indexing sachems are segment based and hierarchical semantic indexing scheme. Both these sachems can improve the efficiency of query processing and cache management. In this paper, we have performed the evaluation of index schemes for Semantic Cache through the experimental study. Evaluations of these schemes are available in literature but experimental study is not available. Through this experiment, we have highlighted which technique is most suited in what kind of scenario.

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Other Articles