Numerous operating systems have been designed to manage and control system resources with large and complicated features, so they need high security protection. However, previous security applications can not provide ...
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Cloud computing provides an efficient way to expose computing capabilities as sophisticated services that can be accessed remotely. It eliminates the need for organizations to maintain extensive infrastructures. Paral...
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In cloud computing environment, it is common for a multi-component application to be deployed into the IT infrastructure on demand. Although the Application Component Placement Problem or ACP has been studied both in ...
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Nowadays, one of the most important goals of data center management is to maximize their profit by minimizing power consumption and service-level agreement (SLA) violations of hosted applications. System dynamics make...
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This paper presents an algorithm that coordinates mobile robots to find the desired targets without depending on precise global information. We compare the abstract solution space in PSO and physical environment that ...
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This paper presents an algorithm that coordinates mobile robots to find the desired targets without depending on precise global information. We compare the abstract solution space in PSO and physical environment that robots will explore. According to similarities and differences between them, we introduce a PSO-inspired search algorithm to guide robots to complete the search mission. Moreover, a novel method based on Cartesian geometry for unifying relative coordinate systems will be adopted to improve system's robustness and efficiency.
This paper considers the problem of optimal relay placement for urban monitoring in wireless vehicular networks. The placement of relays is greatly impacted by vehicle distribution and mobility, which makes it difficu...
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ISBN:
(纸本)9781612842325
This paper considers the problem of optimal relay placement for urban monitoring in wireless vehicular networks. The placement of relays is greatly impacted by vehicle distribution and mobility, which makes it difficult to determine the optimal locations. We theoretically prove that the relay placement problem (RPP) is NP-hard even when the vehicle traces are assumed as a priori knowledge. We first propose an approximate algorithm for the RPP with given vehicle traces (D-RPP). This algorithm is proved to achieve an approximation ratio of (1-1/e), where e is the natural logarithm base. To solve the RPP without a priori knowledge about future vehicle traces (N-RPP), we first show that there is strong regularity with vehicle mobility by entropy analysis. Then, we propose an algorithm for solving the N-RPP, which exploits regularity extracted from historical traces. Extensive simulations based on real trace datasets show that the D-RPP algorithm produces performance close to the optimum. keywords-wireless vehicular networks, wireless relays, optimal placement, approximation algorithms.
In the wireless network, the throughput decreases rapidly with increasing the number of nodes while using single-channel communication simultaneously. Using multi-channel schemes is a solution of boosting throughput. ...
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In the wireless network, the throughput decreases rapidly with increasing the number of nodes while using single-channel communication simultaneously. Using multi-channel schemes is a solution of boosting throughput. In this paper, we present a protocol implementation, utilizing multiple channels in an autonomous multi-robot system which consists of several simple physical robots, in order to improve throughput. Each robot equipped with a single 802.15.4 radio transceiver which provides 16 channels for use. Our schemes employ a common control-channel and data channels. A simple approach based on RTS / CTS message at control-channel is used to dynamically allocate channels for robots in such distributed network. Some practical experiments were done to check whether control channel congestion can occur when the proposed protocols implemented in our robot systems. As a result, the proposed multi-channel protocol can provide a relatively stable and higher throughput than that obtained by using the CSMA with a single-channel, with increasing the number of simultaneous sending robots.
Limited wireless communication devices carried by individuals make up human contact-based network. Such network often suffers from intermittent connectivity. This fact decreases successful ratio of information spreadi...
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Limited wireless communication devices carried by individuals make up human contact-based network. Such network often suffers from intermittent connectivity. This fact decreases successful ratio of information spreading and prolongs data delivery process. To get good performance on delivery ratio and transmission delay, providing effective data dissemination algorithm among large-scale human contact-based network is very important. In this paper, we develop an Improved Content-based Data Dissemination algorithm, which efficiently resolves data dissemination as data sources and interested receivers are agnostic of each other. In our algorithm, nodes exchange information according to respective interests with each other, simultaneously, exploit gathered history neighbor interests to dynamically adjust the probability of requesting messages not of interest to themselves and make distributed decisions on whether storing messages or not to benefit other nodes. Compared with the Epidemic algorithm and Opportunistic Content-Based Dissemination algorithm, simulation results have confirmed that our algorithm obtains the highest delivery ratio and almost the lowest transmission delay, as the buffer size and bandwidth are restricted.
The method of using DBT (dynamic binary translation) to execute the source ISAs binary code on target platforms has been perplexed by low overhead for many years. GPU as a many-core processor has tremendous computatio...
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