This research investigates the novel application of Dynamic Game Balancing (DGB) techniques in the context of a hybrid chess-survival roguelike game, a unique combination of genres not widely explored in previous stud...
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This paper demonstrates how deep learning algorithms detect and mitigate distributed denial of service (DDoS) threats. DDoS attacks jeopardize network security, causing substantial disruptions and economic harm. A maj...
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To enhance the market competitiveness of enterprises in the context of sustainable development, an intelligent technology-based green marketing decision support system is constructed. Methods such as multi-source data...
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In order to solve the issues/problems existing in the current public health emergency management system in China, such as imperfect cross-sectoral collaborative management model, incomplete emergency response mechanis...
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This paper introduces an automated grading system for mangoes, enhancing efficiency and accuracy compared to human-based methods. The system uses the Lion Assisted Firefly Algorithm (LA-FF) to extract the best feature...
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This paper first conducted preliminary research through questionnaire survey, literature research, field research and other methods, and then established the campus landscape evaluation index system by *** on Likert s...
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The purpose of this study is to investigate the factors that influence Sahel e-government service quality in Kuwait. The study is using a quantitative approach where a questionnaire was developed to collect data. The ...
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Latency-sensitive applications, such as online gaming, require that the conditions of networks from the server to each client are almost the same to achieve fairness. Traditionally, the servers are always set fixedly ...
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ISBN:
(纸本)9789819608072;9789819608089
Latency-sensitive applications, such as online gaming, require that the conditions of networks from the server to each client are almost the same to achieve fairness. Traditionally, the servers are always set fixedly in certain locations and only the nearby clients can connect, which is not fair to some far-away clients. To tackle the fairness issue, the emerging cloud computing or sky computing is a potential solution, where the server cannot be fixed anymore. Hence, we design LibraCloud, a novel server selection and allocation mechanism for latency-sensitive applications, using globally distributed cloud infrastructure. LibraCloud aims to select the fairest server rather than the best one. By defining a fairness indicator and dynamically utilizing multiple clouds, it overcomes the limitations of traditional fixed servers. To validate LibraCloud, we conduct experiments using 85 probes to simulate clients and 13 data centers for server selection. Assuming 20 distributed clients, 78.8% of the experimental cases show that LibraCloud selects the fairest server, significantly outperforming random selection or fixed three-server mechanisms.
In recent years, the rapid development of the Internet of Things (IoT) has made fault tolerance is important for maintaining service quality and system availability. Fault tolerance Quality of service (QoS) provisioni...
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service computing has been widely adopted in most applications. Blockchain as a service (BaaS) is a recent offering by major service computing providers to facilitate the adoption of blockchain technology and address ...
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ISBN:
(纸本)9789819608072;9789819608089
service computing has been widely adopted in most applications. Blockchain as a service (BaaS) is a recent offering by major service computing providers to facilitate the adoption of blockchain technology and address the implementation challenges faced by developers. This has significantly boosted blockchain use in different areas/domains such as supply chain management and healthcare. This surge in adoption has created a demand for effective data query mechanisms on blockchain platforms. However, current solutions have not adequately addressed the need to query data privately while ensuring data integrity, especially when blockchain is offered as a service. To this end, this paper proposes a query language, called pQLB, for blockchain systems that ensure both confidentiality of query inputs and integrity of query results. Additionally, pQLB enables SQL-like queries over the blockchain data by introducing relational data semantics into the existing blockchain database. pQLB has applied the recent cryptography primitive, namely the function secret sharing (FSS), to achieve the confidentiality property. To support integrity, we extended the traditional FSS setting in such a way that integrity of FSS results can be efficiently verified. To the best of our knowledge, pQLB is the first query model designed for blockchain with the support for confidentiality, integrity, and SQL-like queries.
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