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.

Secure and flexible framework for decentralized social network services

Abstract: The rapid growth of the volume of user-generated contents in online social networks has raised many privacy concerns, mainly due to the data exploitation operated by providers. In order to address this problem, the idea of supporting social network services with open peer-to-peer systems has gained ground very recently. Nevertheless, the development of social network applications on decentralized layers involves several new security and design issues. In this paper we define an architectural model which embeds user identity management in a DHT overlay, providing a very robust and flexible support for any identity-based application. Important features for social applications like reputation management, modular expandability of the application suite and discretionary access control to shared resources can be easily implemented on our framework.

Opportunistic resource sharing between devices

Abstract: Techniques for opportunistic resource sharing between mobile devices are described. A method comprises identifying a set of homogeneous device resources implemented by multiple devices based in part on resource configuration information received by a wireless transceiver, selecting a shared homogeneous device resource of one of the multiple devices to share between the multiple devices, and sending shared configuration information to identify the shared homogeneous device resource and a share role for each of the multiple devices. Other embodiments are described and claimed.

Enabling Intelligent IoCV Services at the Edge for 5G Networks and Beyond

Abstract: The Fifth Generation (5G) communication technology has paved the way for intelligent and diversified Internet of Connected Vehicles (IoCV) services that meet stringent Quality of Service (QoS) requirements Both Artificial Intelligence (AI) and Blockchain are playing and will continue to play an imperative role in providing secure and decentralized resource sharing to solve complex and time-sensitive problems at the edge The integration of both those techniques will enhance the performance of smart vehicular services, especially in beyond 5G (B5G) networks Ensuring secure transactions in complex autonomous network architectures is an immense challenge This article addresses computational, storage, connectivity and intelligence concerns using a collaborative approach to engage multiple Internet of Things (IoT) nodes such as connected- vehicles, drones and mobile devices for the provisioning of QoS-optimal complex service compositions in autonomous mobile networks Continuous and fast compositions emerge using decentralized decisions and interactions with diversified neighboring nodes with the aid of reinforcement learning Blockchain is used to ensure that nodes interact with each other verifiably and record transactions without the need for trusted intermediaries We assess whether having an AI-enabled blockchain collaborative composition solution improves service availability and delivery of smart city vehicular services

Method and system for controlling access to a shared resource in a data processing system utilizing dynamically-determined weighted pseudo-random priorities

Abstract: A method and system for controlling access to a shared resource in a data processing system are described. According to the method, a number of requests for access to the resource are generated by a number of requestors that share the resource. Each of the requestors is dynamically associated with a priority weight in response to events in the data processing system. The priority weight indicates a probability that the associated requestor will be assigned a highest current priority. Each requester is then assigned a current priority that is determined substantially randomly with respect to previous priorities of the requestors. In response to the current priorities of the requestors, a request for access to the resource is granted.

G-Grid: a class of scalable and self-organizing data structures for multi-dimensional querying and content routing in p2p networks

Abstract: Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabilities, over autonomous and heterogeneous peers. Yet, most current P2P systems only support rudimentary query and content routing over a single data attribute, such as the file-sharing applications popularized in Napster, Gnutella and so forth. Full-fledged applications in distributed data management and grid computing demand more complex functionality, including querying and content routing over multiple attributes. In this paper we present a class of scalable and self-organizing multi-dimensional distributed data structures able to efficiently perform range queries in totally decentralized dynamic P2P environments. These structures are not imposed a priori over the network of peers. Rather, they emerge from the independent interactions of autonomous peers. They are also adaptive to unanticipated changes in the network topology. This robustness property expands their range of usefulness to many application areas such as mobile ad-hoc networks.