Conferences  >  Informatics  >  Distributed, Edge and Cloud Computing

USENIX Association

SREcon is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. Our purpose is to be inclusive as we bring together ideas representative of our diverse community, whether its members are focusing on a global scale, launching new products and ideas for a small business, or pivoting their approach to unite software and systems engineering. SREcon challenges both those new to the profession as well as those who have been involved in it for decades. The conference has a culture of critical thought, deep technical insights, continuous improvement, and innovation.

Software Engineering,    Algorithms and Data Structures

USENIX Association

Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University

2024 9th International Conference on Big Data and Computing (ICBDC 2024) will be held during May 24-26, 2024 in Bangkok, Thailand . ICBDC 2024 is mainly organized by Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University.

Email: Dunn@iact.net

Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud and Big Data for Internet of Things (IoT); Computing, scheduling and resource management for sustainability; Government and Industrial Experiences for Cloud and Big Data; Green Computing and Networking Technologies for Cloud and Big Data;

The South Asia Institute of Science and Engineering

We sincerely invite you to participate 2024 8th International Conference on Cloud and Big Data Computing. It will be held at Oxford Brookes University, Oxford, United Kingdom during August 15-17, 2024.

Ms. Vera Lee;     Email: brandon@saise.org

Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud computing and semantic web technologies; Cloud Computing Techniques for Big Data Analysis; Cloud Solution Design Patterns; Cloud for Enterprise Business Transformation;

CIRM – Centre International de Rencontres Mathématiques

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

In modern computational systems, the need to handle large-scale inputs imposes interesting computational challenges. Two such challenges are (1) the need to distribute the computation over multiple units, and (2) the dynamic nature of the input, which may undergo changes over time. A particular class of problems studied in these settings is when the input to the computational task is a huge graph. The field of dynamic graph algorithms addresses efficiently processing edge/vertex insertions/deletions in the input graph. In distributed graph algorithms, the input resides across multiple machines, and the goal is to solve the problem while minimizing the number of rounds of communication. Both of these rich research areas have been extensively studied since at least the 1980’s. We know of efficient algorithms for a large variety of tasks, such as shortest paths problems, coloring, subgraph finding, symmetry breaking, approximations, and many more. However, there are still fundamental problems with no known efficient solutions in some of these models, and even more where the exact complexity of computation is yet to be determined. In the recent years, a number of influential works show how transferring ideas from one of these models to the other provides progress on some of the long-lasting open problems. The goal of this Dagstuhl Seminar is to build a bridge between the two research communities of dynamic graph algorithms and distributed computing, by working together on joint research frontiers.

High Performance Computing, Supercomputing, Parallel Computing,    Scientific Computing and Data Science