Shared resource

About: Shared resource is a research topic. Over the lifetime, 7536 publications have been published within this topic receiving 123491 citations. The topic is also known as: network share.

On Localized Application-Driven Topology Control for Energy-Efficient Wireless Peer-to-Peer File Sharing

Abstract: Wireless peer-to-peer (P2P) file sharing is widely envisioned as one of the major applications of ad hoc networks in the near future. This trend is largely motivated by the recent advances in high-speed wireless communication technologies and high traffic demand for P2P file sharing applications. To achieve the ambitious goal of realizing a practical wireless P2P network, we need a scalable topology control protocol to solve the neighbor discovery problem and network organization problem. Indeed, we believe that the topology control mechanism should be application driven in that we should try to achieve an efficient connectivity among mobile devices in order to better serve the file sharing application. We propose a new protocol, which consists of two components, namely, adjacency set construction (ASC) and community-based asynchronous wakeup (CAW). Our proposed protocol is shown to be able to enhance the fairness and provide an incentive mechanism in wireless P2P file sharing applications. It is also capable of increasing the energy efficiency.

Network Performance Analysis

Abstract: The book presents some key mathematical tools for the performance analysis of communication networks and computer systems. Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service. This book introduces the main results of queuing theory that are useful for analyzing the performance of these systems. These mathematical tools are key to the development of robust dimensioning rules and engineering methods. A number of examples illustrate their practical interest.

A distributed operating network and method for using and implementing same

Abstract: A distributed operating network is disclosed where an operating kernel is commonly installed on all DPUs in the operating network interconnected with at least one interconnecting network where the computer includes remote user DPUs and servers where the servers comprise a server system. The server system includes an application repository, user registration, identification and verification routines, accounting and billing routines, user activity tracking routines and timekeeping routines. Each DPU has access to all application software on the operating network which can be used on a time of use based billing system and the kernel is expanded with selected applications and needed dynamic routines for optimal performance on the requesting DPU which allows the DPU to be minimally configured. Additional hardware is available to all remote DPUs on a time use base billing system as well as distributed computing and resource sharing.

Resource Allocation and Basestation Placement in Cellular Networks With Wireless Powered UAVs

Abstract: In this correspondence, we focus on a UAV-assisted downlink cellular network, where a UAV serves as an aerial basestation (BS) and is powered by a wireless charging station located on the ground, and jointly optimize resource allocation and BS placement to maximize the common throughput for two resource sharing schemes: time division multiple access (TDMA) and frequency division multiple access (FDMA). Through alternate optimization, resource allocation and BS placement are separately optimized to iteratively improve the common throughput. For resource allocation, we derive the closed-form solutions for both TDMA and FDMA. For BS placement, we resort to successive convex optimization that iteratively maximizes a lower bound. Results show that with the proposed optimal resource allocation and BS placement, resource can be fully utilized and the aerial BS's location can be properly adjusted such that it significantly outperforms a baseline strategy, by which resource is equally shared among ground users. Moreover, it is also observed that the FDMA scheme outperforms the TDMA scheme due to longer effective transmission duration.

Towards real-time multi-sensor information retrieval in Cloud Robotic System

Abstract: Cloud Robotics is currently driving interest in both academia and industry. It allows different types of robots to share information and develop new skills even without specific sensors. They can also perform intensive tasks by combining multiple robots with a cooperative manner. Multi-sensor data retrieval is one of the fundamental tasks for resource sharing demanded by Cloud Robotic system. However, many technical challenges persist, for example Multi-Sensor Data Retrieval (MSDR) is particularly difficult when Cloud Cluster Hosts accommodate unpredictable data requested by multi robots in parallel. Moreover, the synchronization of multi-sensor data mostly requires near real-time response of different message types. In this paper, we describe a MSDR framework which is comprised of priority scheduling method and buffer management scheme. It is validated by assessing the quality of service (QoS) model in the sense of facilitating data retrieval management. Experiments show that the proposed framework achieves better performance in typical Cloud Robotics scenarios.