Towards Differential Query Services in Cost-Efficient Clouds Abstract?Cloud computing as an emerging technology trend is expected to reshape the advances in information technology. In a cost-efficient cloud environment, a user can tolerate a certain degree of delay while retrieving information from the cloud to reduce costs.< Final Year Projects > In this paper, we address…
Towards Distributed Optimal Movement Strategy for Data Gathering in Wireless Sensor Networks Abstract? We address how to design a distributed movement strategy for mobile collectors, which can be either physical mobile agents or query/collector packets periodically launched by the sink, to achieve successful data gathering in wireless sensor networks. Formulating the problem as general random…
Towards E ective Bug Triage with Software Data Reduction Techniques Abstract? Towards Effective Bug Triage with Software Data Reduction Techniques. Software companies spend over 45 percent of cost in dealing with software bugs. An inevitable step of fixing bugs is bug triage, which aims to correctly assign a developer to a new bug. To decrease…
Towards Effective Bug Triage with Software Data Reduction Techniques Abstract? Towards Effective Bug Triage with Software Data Reduction Techniques. Software companies spend over 45 percent of cost in dealing with software bugs. An inevitable step of fixing bugs is bug triage, which aims to correctly assign a developer to a new bug. To decrease the…
Towards Information Diffusion in Mobile Social Networks Abstract? Towards Information Diffusion in Mobile Social Networks. The emerging of mobile social networks opens opportunities for viral marketing. However, before fully utilizing mobile social networks as a platform for viral marketing, many challenges have to be addressed. In this paper, we address the < Final Year Projects...
Towards Online Shortest Path Abstract?Towards Online Shortest Path, The online shortest path problem aims at computing the shortest path based on live traffic circumstances. This is very important in modern car navigation systems as it helps drivers to make sensible decisions. To our best knowledge, there is no efficient system/solution that can offer affordable costs…
Towards Online Shortest Path Computation Abstract?Towards Online Shortest Path Computation. The online shortest path problem aims at computing the shortest path based on live traffic circumstances. This is very important in modern car navigation systems as it helps drivers to make sensible decisions. To our best knowledge, there is no efficient system/solution that can offer…
Towards Privacy Preserving Publishing of Set-valued Data on Hybrid Cloud Abstract? Towards Privacy Preserving Publishing of Set-valued Data on Hybrid Cloud. Storage as a service has become an important paradigm in cloud computing for its great flexibility and economic savings. However, the development is hampered by data privacy concerns: data owners no longer physically possess…
Towards Privacy-Preserving Storage and Retrieval in Multiple Clouds Abstract? Towards Privacy-Preserving Storage and Retrieval in Multiple Clouds.Cloud computing is growing exponentially, whereby there are now hundreds of cloud service providers (CSPs) of various sizes. While the cloud consumers may enjoy cheaper data storage and computation offered in this multi-cloud environment, they are also in face…
Towards the Scheduling of Access Requests In Cloud Storage Abstract?In recent years, cloud computing has emerged as an enabling technology, in which virtual machine migration and dynamic resource allocation is one of the hot issues. During the migration of virtual machine, access requests from end users coming constantly. So how to schedule these requests to…
Towards Trustworthy Resource Scheduling in Clouds Abstract? Towards Trustworthy Resource Scheduling in Clouds. Managing the allocation of cloud virtual machines at physical resources is a key requirement for the success of clouds. Current implementations of cloud schedulers do not consider the entire cloud infrastructure neither do they consider the overall user and infrastructure properties. This…
Tracking Human Under Occlusion Based on Adaptive Multiple Kernels With Projected Gradients Abstract?Tracking Human Under Occlusion Based on Adaptive Multiple Kernels With Projected Gradients. Kernel based trackers have been proven to be a promising approach for video object tracking. The use of a single kernel often suffers from occlusion since the available visual information is…