The growing desire among application providers for a cost model based on pay-per-use, combined with the need for a seamlessly integrated platform to manage the complex workflows of their applications, has spurred the ...
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ISBN:
(纸本)9798400704451
The growing desire among application providers for a cost model based on pay-per-use, combined with the need for a seamlessly integrated platform to manage the complex workflows of their applications, has spurred the emergence of a promising computing paradigm known as serverless computing. Although serverless computing was initially considered for cloud environments, it has recently been extended to other layers of the computing continuum, i.e., edge and fog. This extension emphasizes that the proximity of computational resources to data sources can further reduce costs and improve performance and energy efficiency. However, orchestrating the computing continuum in complex applicationworkflows, including a set of serverless functions, introduces new challenges. This paper investigates the opportunities and challenges introduced by serverless computing for workflow management systems (WMS) on the computing continuum. In addition, the paper provides a taxonomy of state-of-the-art WMSs and reviews their capabilities.
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to current quantum device limitations. software sim...
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ISBN:
(纸本)9798331541378
Researchers and industries are increasingly drawn to quantum computing for its computational potential. However, validating new quantum algorithms is challenging due to current quantum device limitations. software simulators are time and memory -intensive, making hardware emulators an attractive alternative. This article introduces a digital architecture, designed to emulate quantum computing on low -tier Field -Programmable Gate Arrays (FPGAs), supporting Clifford+T and rotational gate sets. It simplifies and accelerates quantum algorithm verification using a RISC -like structure and efficiently handling sparse quantum gates. A dedicated compiler translates OpenQASM 2.0 into RISC -like instructions. The architecture is validated against the Qiskit state vector simulator, successfully emulating sixteen qubits on a Xilinx Kria KV260 SoM.
Ever since software development, bug free software is major challenge to all software industry. Both software developers and testers require ongoing enhancements to their development and testing processes to deliver h...
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The rapid advancement of 5G technology has significantly increased energy consumption, underscoring the need for advanced energy management solutions. Proactive energy management, which relies on accurate predictions ...
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ISBN:
(纸本)9798350361261;9798350361278
The rapid advancement of 5G technology has significantly increased energy consumption, underscoring the need for advanced energy management solutions. Proactive energy management, which relies on accurate predictions of network load to enable timely adaptive actions, emerges as a key strategy in addressing this challenge. In this study, we introduce a refined approach to forecasting traffic load in 5G networks, emphasizing the integration of statistical and temporal feature engineering. This methodology is aimed at capturing the intricate spatial and temporal patterns inherent in network data, thereby enhancing prediction accuracy. Leveraging an existing dataset comprising measurements from 1,000 base stations, we enriched this dataset with a set of derived features that reflect both temporal dynamics and load characteristics. Utilizing this enriched dataset, we trained and validated a suite of predictive models. Our findings reveal a notable improvement in the accuracy of traffic load predictions, outperforming standard baseline models. This underscores the effectiveness of our feature engineering approach in refining the predictive capabilities of models, paving the way for more efficient and proactive energy management in 5G networks.
The proceedings contain 5 papers. The topics discussed include: software testing of generative ai systems: challenges and opportunities;future of softwareengineering@ICSE 2023;large language models for software engin...
ISBN:
(纸本)9798350324969
The proceedings contain 5 papers. The topics discussed include: software testing of generative ai systems: challenges and opportunities;future of softwareengineering@ICSE 2023;large language models for softwareengineering: survey and open problems;softwareengineering for data intensive scalable computing and heterogeneous computing;and technical debt management: the road ahead for successful software delivery.
The current quantum landscape is characterised by a wide variety of quantum computers, each with unique capabilities and limitations. Despite its rapid advancement, this field is still in its early stages and lacks es...
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ISBN:
(纸本)9798331541378
The current quantum landscape is characterised by a wide variety of quantum computers, each with unique capabilities and limitations. Despite its rapid advancement, this field is still in its early stages and lacks essential softwareengineering principles such as resilience and customisability by design. To provide developers with a quantum technology stack that embeds these principles by design, we propose leveraging the heterogeneity of existing quantum computers. Specifically, we introduce a novel distribution methodology, termed shot-wise, to distribute the quantum computation workload of a single circuit execution (i.e., its shots) across multiple quantum computers. This shot-wise methodology is highly customisable, allowing for the embedding of user-specific and scenario-specific requirements into the distribution process. Requirements can be expressed through constraints, such as the geographical location of the QPUs, and their architecture, or ensuring or avoiding specific combinations of QPUs and quantum providers. Additionally, requirements can be defined by one or more objective functions to be minimised or maximised, such as reducing waiting time, computation cost, or energy footprint. By also combining constraints and objective functions, our shot-wise methodology enhances flexibility and improves the overall resilience of quantum computations against potential quantum computer failures. Preliminary results indicate that this approach offers error rates comparable to, or lower than, those of single-device execution even in all the tested scenarios with different numbers of qubits, families of circuits and number of QPUs to distribute the shots.
Traditional Trusted computing is mainly implemented in the form of boards, chips, etc., and the requirements of hardware modification have greatly limited the widely use of trusted computing. To cope with the dilemma,...
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The pioneering research on message passing for Java (MPJ) which started after 1995 provided a crucially important framework and programming environment for parallel and distributed computing with Java. This framework ...
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ISBN:
(纸本)9798350340754
The pioneering research on message passing for Java (MPJ) which started after 1995 provided a crucially important framework and programming environment for parallel and distributed computing with Java. This framework resulted in an industry standard specification and a novel MPJ-based hierarchical development methodology for a new generation of large-scale distributed systems. The invention of a novel component-based model and methodology for rapid distributed software development and execution based on the MPJ work and achievements are the core contributions presented in this paper. Based on the high-performance Java component-based model, concepts and research results, grid, cloud, and extreme-scale computing represent a fundamental shift in the delivery of information technology services that has permanently changed the computing landscape.
To realize the effectiveness and real-time of computing power scheduling of power grid cloud platform, this paper proposes a load forecasting and computing power scheduling method of power grid cloud platform based on...
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With growing network service demands, rational and efficient multi-domain resource allocation is paramount. Research aims to develop intelligent Traffic engineering (TE) algorithms that can dynamically allocate resour...
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ISBN:
(纸本)9798350386066;9798350386059
With growing network service demands, rational and efficient multi-domain resource allocation is paramount. Research aims to develop intelligent Traffic engineering (TE) algorithms that can dynamically allocate resources, adapt to changing conditions, and meet user needs. TE algorithms based on software-Defined Networking (SDN) have proven effective for this goal by leveraging the centralized control plane and programmable data plane of SDN. This enables flexible and dynamic optimization of routing and resource allocation across multiple domains to meet traffic demands. However, domains operated by different service providers may exhibit non-cooperative behavior due to conflicts of interest and competition. Some domains may act selfishly by hiding bandwidth or exaggerating inter-domain requests to reserve more resources for themselves. This complicates TE design as algorithms can no longer assume universal cooperation in multi-domain networks. Game theory provides a framework to model competition between domains through behaviors like request forwarding, dropping and study cooperation strategies. This paper presents GameTE, a game-theoretic distributed TE algorithm for multi-domain SDN environments without trusted relationships between domains. By incorporating incentives and punishments, our algorithm suppresses selfish behaviors and promotes efficient resource utilization. Evaluation results demonstrate that GameTE is effective in curbing deception, enhancing resource sharing between domains, and improving overall network performance compared to baseline schemes.
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