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.

Impact of resource sharing on performance and performance prediction: a survey

Abstract: Multi-core processors are increasingly considered as execution platforms for embedded systems because of their good performance/ energy ratio However, the interference on shared resources poses several problems It may severely reduce the performance of tasks executed on the cores, and it increases the complexity of timing analysis and/or decreases the precision of its results In this paper, we survey recent work on the impact of shared buses, caches, and other resources on performance and performance prediction

Symbiotic Networks: Towards a New Level of Cooperation Between Wireless Networks

Abstract: In the future, many wireless networks, serving diverse applications, will co-exist in the same environment. Today, wireless networks are mostly optimized in a rather opportunistic and/or selfish way: optimizations methods only use a local view of the network and environment, as they try to achieve the best performance within its own network. The optimizations are very often limited to a single layer and cooperation between networks is only happening through the use of gateways. In this paper, we suggest an alternative paradigm for supporting cooperation between otherwise independent networks, called `symbiotic networking'. This new paradigm can take many forms, such as sharing of network resources, sharing of nodes for communal routing purposes and sharing of (networking) services. Instead of optimizing network parameters within the individual networks, symbiotic networking solutions operate across network boundaries. Parameters are optimized between the networks and communal protocols are developed, leading to a more global optimization of the scarce network resources. In this paper, we describe several scenarios which can profit from symbiotic networking and illustrate a strategy for supporting networking protocols which can operate across network boundaries. Ultimately, through the disappearance of network boundaries and the introduction of cross-layer/cross-node/cross-network cooperation, symbiotic networks takes the notion of cooperation to a new level, paving the way for a true network symbiosis.

A Reinforcement Learning Framework for Dynamic Resource Allocation: First Results.

Abstract: This paper addresses the problem of dynamic resource allocation among multiple entities sharing a common set of resources. A solution approach is presented based on combining the reinforcement learning methodology with function approximation architectures. An implementation of this approach in Solaris 10 demonstrated a robust near-optimal performance on a simple problem of transferring CPUs among resource partitions so as to match the stochastically changing workload in each partition, both for large and small CPU migration costs

Mobile Clouds: Exploiting Distributed Resources in Wireless, Mobile and Social Networks

Abstract: Includes a preface written by Professor Leonard Kleinrock, Distinguished Professor of Computer Science, UCLA, USAThis book discusses and explores the concept of mobile cloud, creating an inspiring research space for exploiting opportunistic resource sharing, and covering from theoretical research approaches to the development of commercially profitable ideas. A mobile cloud is a cooperative arrangement of dynamically connected communication nodes sharing opportunistic resources. In this book, authors provide a comprehensive and motivating overview of this rapidly emerging technology. The book explores how distributed resources can be shared by mobile users in very different ways and for various purposes. The book provides many stimulating examples of resource-sharing applications. Enabling technologies for mobile clouds are also discussed, highlighting the key role of network coding. Mobile clouds have the potential to enhance communications performance, improve utilization of resources and create flexible platforms to share resources in very novel ways. Energy efficient aspects of mobile clouds are discussed in detail, showing how being cooperative can bring mobile users significant energy saving. The book presents and discusses multiple examples of mobile clouds applications, based on both existing commercial initiatives as well as proof-of-concept test-beds. Visions and prospects are also discussed, paving the way for further development. As mobile networks and social networks become more and more reliant on each other, the concept of resource sharing takes a wider and deeper meaning, creating the foundations for a global real-time multidimensional resource pool, the underlying infrastructure for shareconomy. Above all, this is an inspiring book for anyone who is concerned about the future of wireless and mobile communications networks and their relationship with Social networks. Key Features:Provides fundamental ideas and promising concepts for exploiting opportunistic cooperation and cognition in wireless and mobile networksGives clear definitions of mobile clouds from different perspectivesAssociates mobile and wireless networks with social networks, creating a vast fertile ground for novel developments in both research and practical applicationsConsiders research directions, emerging trends and visionsThis book is an excellent resource for wireless/networking researchers in industry and academia, students and mobile phone programmers. Managers interested in new technology developments, service providers, network operators, and those working in the gaming industry will also find the book insightful.

Two-echelon collaborative multi-depot multi-period vehicle routing problem

Abstract: Collaboration among logistics operators offers an effective way to improve customer service and freight transportation efficiency. One form of collaboration is the sharing of logistics resources (e.g., delivery vehicles). Existing studies on collaboration and resource sharing have not sufficiently accounted for the time frame within which collaboration happens, and they mostly assume that collaboration among logistics operators occurs in a single time period. This study addresses the issue of collaboration across multiple time periods, in which logistics resources can be shared between different service time periods, by formulating and solving a two-echelon collaborative multi-depot multi-period vehicle routing problem (2E-CMDPVRP). The 2E-CMDPVRP is formulated as a multi-objective integer programming model that minimizes logistics operational costs, service waiting times, and number of vehicles in multiple service periods. A hybrid heuristic algorithm with three-dimensional k-means clustering and improved reference point-based non-dominated sorting genetic algorithm-III (IR-NSGA-III) is proposed to solve the multi-objective optimization model. Comparative analysis results show that the proposed IR-NSGA-III outperforms existing algorithms in terms of the minimization of logistics operational costs, service waiting times, and number of vehicles. The minimum costs remaining saving method and strictly monotonic path selection principle are combined to determine the best profit allocation schemes and the optimal coalition sequences. An empirical case study of a multi-depot multi-period logistics network in Chongqing, China, is used to validate the proposed model and solution algorithm. Results suggest that the proposed collaborative mechanism with multi-depot and multi-period resource sharing can improve the degree of synchronization within a collaborative logistics network, and thus contribute to sustainable development of urban logistics distribution networks.