In this work a four terminal Gaussian network composed of a source, a destination, an eavesdropper and a jammer relay is studied. The jammer relay does not hear the source transmission. It assists the eavesdropper and aims to decrease the achievable secrecy rates. The source, on the other hand, aims to increase the achievable secrecy […]
Archives for December 2011
Research on Cloud Computing Application in the Peer-to-Peer Based Video-on-Demand Systems
In the peer-to-peer based video-on-demand systems, when the number of users online reaches a certain scale, It will greatly influence the bandwidth and the speed of response server when the number of online users reaches a certain scale. At the same time, there are so many video resources and sometimes the base number of users […]
Towards Realizable, Low-Cost Broadcast Systems for Dynamic Environments
A main design issue in a wireless data broadcasting system is to choose between push-based and pull-based logic: The former is used as a low-cost solution, while the latter is preferred when performance is of utmost importance. Therefore, the most significant advantage of a push system is the minimal cost. This fact implies that hardware […]
Integrating Visual Saliency and Consistency for Re-Ranking Image Search Results
In this paper, we propose a new algorithm for image re-ranking in web image search applications. The proposed method focuses on investigating the following two mechanisms: 1) Visual consistency. In most web image search cases, the images that closely related to the search query are visually similar. These visually consistent images which occur most frequently […]
Weather data sharing system: an agent-based distributed data management
Severe weather causes human disasters. The most useful way to decrease a national disaster is by building more atmospheric sensing equipments to monitor the climate change. The data produced by these sensing equipments are of a huge amount and play an important role for weather prediction. Moreover, new sensing equipments enrich weather data. Everyday terabyte […]
An improved ant algorithm for grid scheduling problem using biased initial ants
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput […]
SOAP Processing Performance and Enhancement
Web Services (WS) provide a comprehensive solution for representing, discovering and invoking services in a variety of environments, including SOA (Service Oriented Architectures) and grid computing systems. At the core of WS lie a number of XML-based standards, such as SOAP, that have ensured WS extensibility, transparency, and interoperability. Nonetheless, there is an increasing demand […]
Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work […]
Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications
Cloud computing is gaining acceptance in many IT organizations, as an elastic, flexible, and variable-cost way to deploy their service platforms using outsourced resources. Unlike traditional utilities where a single provider scheme is a common practice, the ubiquitous access to cloud resources easily enables the simultaneous use of different clouds. In this paper, we explore […]
Adaptive grid risk-sensitive filter for non-linear problems
A novel adaptive grid-based method has been proposed for risk-sensitive state estimation in non-linear non-Gaussian problems. The algorithm, which is based on point-mass approximation, is called the adaptive grid risk-sensitive filter (AGRSF). Although risk-sensitive estimators have been known to be robust compared to their risk-neutral counterparts, the implementation of risk-sensitive filters (RSFs) is almost impossible […]