As a cutting-edge technology of low-altitude Artificial Intelligence of Thing (AIoT), UAV object detection significantly enhances the surveillance services capabilities of low-altitude AIoT. However, the difficulty of...
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In this paper we present dETI, the next generation of the Electronic Tool Integration (ETI) platform, an open platform for the interactive experimentation with and coordination of heterogeneous software tools via the ...
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We propose an aggressive version of model-driven development (AMDD) 1, which moves most of the recurring problems of compatibility and consistency of software (mass-) construction and customization from the coding and...
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We propose an aggressive version of model-driven development (AMDD) 1, which moves most of the recurring problems of compatibility and consistency of software (mass-) construction and customization from the coding and integration level to the modelling level. AMDD requires a complex preparation of adequate settings, supporting the required automation. However, the effort to create these settings can be easily paid off by immense cost reductions in software mass-construction and maintenance. In fact, besides reducing the costs, AMDD will also lead towards a kind of normed software development, making software engineering a true engineering activity.
Considering the privacy challenges of secure storage and controlled flow,there is an urgent need to realize a decentralized ecosystem of private blockchain for cyberspace.A collaboration dilemma arises when the partic...
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Considering the privacy challenges of secure storage and controlled flow,there is an urgent need to realize a decentralized ecosystem of private blockchain for cyberspace.A collaboration dilemma arises when the participants are self-interested and lack feedback of complete *** blockchains have similar faults,such as trustlessness,single-factor consensus,and heavily distributed ledger,preventing them from adapting to the heterogeneous and resource-constrained Internet of *** this paper,we develop the game-theoretic design of a two-sided rating with complete information feedback to stimulate collaborations for private *** design consists of an evolution strategy of the decision-making network and a computing power network for continuously verifiable *** formulate the optimum rating and resource scheduling problems as two-stage iterative games between participants and *** theoretically prove that the Stackelberg equilibrium exists and the group evolution is ***,we propose a multi-stage evolution consensus with feedback on a block-accounting workload for metadata *** continuously validate a block,the metadata of the optimum rating,privacy,and proofs are extracted to store on a lightweight ***,to increase resource utilization,surplus computing power is scheduled flexibly to enhance security by ***,the evaluation results show the validity and efficiency of our model,thereby solving the collaboration dilemma in the private blockchain.
Efficient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid envir...
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In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various project...
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In this paper, a reputation-based Grid workflow scheduling algorithm is proposed to counter the effect of inherent unreliability and temporal characteristics of computing resources in large scale, decentralized Grid o...
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Dependability of complex systems is a critical system-level issue, which is still insufficiently tackled today. We propose the adoption of an aggressive model-driven development paradigm (AMDD) to adequately capture g...
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Dependability of complex systems is a critical system-level issue, which is still insufficiently tackled today. We propose the adoption of an aggressive model-driven development paradigm (AMDD) to adequately capture globally scoped issues like interoperability and compatibility. AMDD moves most of the recurring problems of compatibility and consistency of a system's design, implementation and evolution from the coding and integration level to the modeling level. In particular it enables an economical treatment of cross-system issues. This approach has proven useful already for the design, realization and test of complex distributed applications. In this paper we discuss the potential and benefits of AMDD and present examples where it is already adopted
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