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.

Motor vehicle resource sharing system and method

Abstract: Disclosed is a motor vehicle resource sharing system. The motor vehicle resource sharing system comprises a management system which is a data processing and coordination center of the motor vehicle resource sharing system and is coupled to other modules in a communication mode, a vehicle file database, a vehicle renting pricing and expense settlement system, a vehicle renter information reading system, a self-service terminal and an information inquiry and booking system. According to the motor vehicle resource sharing system, motor vehicle resources in the society are placed into the unified sharing allocation, the mode that a plurality of users or families share a group of vehicles is achieved, the resources are shared, congestion and parking difficulties are effectively relieved, the better life index of citizens is improved, and the carbon emission of the whole society is effectively reduced.

Competitive Resource Sharing Based on Game Theory in Cooperative Relay Networks

Abstract: This letter considers the problem of resource sharing among a relay and multiple user nodes in cooperative transmission networks. We formulate this problem as a sellers' market competition and use a noncooperative game to jointly consider the benefits of the relay and the users. We also develop a distributed algorithm to search the Nash equilibrium, the solution of the game. The convergence of the proposed algorithm is analyzed. Simulation results demonstrate that the proposed game can stimulate cooperative diversity among the selfish user nodes and coordinate resource allocation among the user nodes effectively.

Reciprocal resource fairness: towards cooperative multiple-resource fair sharing in IaaS clouds

Abstract: Resource sharing in virtualized environments have been demonstrated significant benefits to improve application performance and resource/energy efficiency. However, resource sharing, especially for multiple resource types, poses several severe and challenging problems in pay-as-you-use cloud environments, such as sharing incentive, free-riding, lying and economic fairness. To address those problems, we propose Reciprocal Resource Fairness (RRF), a novel resource allocation mechanism to enable fair sharing multiple types of resource among multiple tenants in new-generation cloud environments. RRF implements two complementary and hierarchical mechanisms for resource sharing: inter-tenant resource trading and intra-tenant weight adjustment. We show that RRF satisfies several highly desirable properties to ensure fairness. Experimental results show that RRF is promising for both cloud providers and tenants. Compared to existing cloud models, RRF improves virtual machine (VM) density and cloud providers' revenue by 2.2X. For tenants, RRF improves application performance by 45% and guarantees 95% economic fairness among multiple tenants.

Resource sharing system of set-top boxes

Abstract: The present invention is directed to a resource sharing system of set-top boxes. The set-top boxes are arranged in a network. The resources of each set-top box in the network are potentially available to another set-top box in the network that has run out of resources. When a user needs a tuner resource, the set-top box determines if it has a local tuner available. If not, the set-top box attempts to use the tuner of another set-top box in the network. In one embodiment all of the tuners in the network are pooled together and used as a global resource of tuners for all of the set-tops. Alternatively, if a set-top box runs out of resource space on a storage device, it attempts to use the storage device on another set-top box before deleting shows locally to make room for the new show.

VectorTrust: trust vector aggregation scheme for trust management in peer-to-peer networks

Abstract: With emerging Internet-scale open content and resource sharing, social networks, and complex cyber-physical systems, trust issues become prominent. Conventional trust mechanisms are inadequate at addressing trust issues in decentralized open environments. In this paper, we propose a trust vector based trust management scheme called VectorTrust for aggregation of distributed trust scores. Leveraging a Bellman---Ford based algorithm for fast and lightweight trust score aggregation, VectorTrust features localized and distributed concurrent communication. Built on a trust overlay network in a peer-to-peer network, a VectorTrust-enabled system is decentralized by nature and does not rely on any centralized server or centralized trust aggregation. We design, implement, and analyze trust rating, trust aggregation, and trust management strategies. To evaluate the performance, we design and implement a VectorTrust simulator (VTSim) in an unstructured P2P network. The analysis and simulation results demonstrate the efficiency, accuracy, scalability, and robustness of VectorTrust scheme. On average, VectorTrust converges faster and involves less complexity than most existing trust schemes. VectorTrust remains robust and tolerant to malicious peers and malicious behaviors. With dynamic growth of P2P network scales and topology complexities, VectorTrust scales well with reasonable overheads (about O(lg?N) communication overheads) and fast convergence speed (about O(log? D N) iterations).