The International Conference on Cloud Computing and Scalable Data Analytics (ICCCSDA - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Data Analytics.
These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.
Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.
Submit Your AbstractInternational Conference on Cloud Computing and Scalable Data Analytics (ICCCSDA - 27) 设有多个分会主题,涵盖重要研究领域、前沿趋势与跨学科创新成果。
各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。
每个分会主题均经过精心设置,旨在促进知识共享、学术合作与深入研讨,并与联合国可持续发展目标(SDGs)保持一致。
提交摘要The session tracks of International Conference on Cloud Computing and Scalable Data Analytics (ICCCSDA - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.
本次会议的分会主题通过科研、合作与知识交流,支持以下联合国可持续发展目标。
Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。
This track focuses on the latest advancements in cloud computing technologies that enhance business operations. Participants will explore case studies and frameworks that demonstrate the integration of cloud solutions in various industries.
SDG 8
SDG 9
SDG 17
This session will delve into scalable analytics methodologies designed to handle large datasets effectively. Researchers will present novel algorithms and architectures that optimize data processing and analysis.
SDG 9
SDG 12
SDG 13
This track examines the role of distributed systems in modern data storage solutions. Discussions will include challenges and strategies for ensuring data integrity and accessibility across distributed environments.
SDG 9
SDG 11
SDG 16
This session will highlight the significance of parallel processing techniques in enhancing computational efficiency within cloud platforms. Participants will discuss frameworks and tools that facilitate parallel execution of data-intensive tasks.
SDG 9
SDG 12
SDG 13
This track focuses on the convergence of edge computing and IoT analytics, emphasizing real-time data processing at the network edge. Presenters will share insights on optimizing data flow and analytics in IoT ecosystems.
SDG 9
SDG 11
SDG 12
This session will explore the integration of machine learning algorithms within cloud-based data analytics frameworks. Attendees will learn about innovative applications and the challenges of deploying machine learning in cloud environments.
SDG 9
SDG 12
SDG 17
This track addresses the architectural considerations necessary for achieving high-performance computing in cloud infrastructures. Discussions will include design patterns and best practices for optimizing resource utilization.
SDG 9
SDG 12
SDG 13
This session will focus on the security challenges associated with cloud-based data analytics. Experts will discuss risk management strategies and the implementation of security measures to protect sensitive data.
SDG 9
SDG 16
SDG 17
This track emphasizes the importance of real-time analytics in facilitating timely decision-making processes. Participants will explore tools and techniques that enable organizations to leverage real-time data insights.
SDG 9
SDG 11
SDG 16
This session will cover effective data integration strategies for cloud platforms, focusing on the seamless flow of information across various systems. Presenters will share methodologies that enhance data interoperability and accessibility.
SDG 9
SDG 12
SDG 17
This track examines the role of workflow automation in streamlining cloud-based analytics processes. Attendees will learn about tools and frameworks that facilitate automated data processing and reporting.
SDG 9
SDG 12
SDG 16
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