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Documents authored by Iosup, Alexandru

Document
DOI: 10.4230/DagRep.15.4.79
Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact (Dagstuhl Seminar 25171)

Authors: Alexandru Iosup, Ana Lucia Varbanescu, Hannes Voigt, and Jože Rožanec

Published in: Dagstuhl Reports, Volume 15, Issue 4 (2025)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 25171, "Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact". Motivated by the need to tackle the challenges that massive and complex data production and consumption bring to our interconnected, digital world, this seminar focused on large-scale graph processing as a systematic approach to transform these challenges into opportunities. Graphs provide a universal mathematical abstraction for such data, and they already influence various sectors - such as logistics, drug discovery, or fraud detection. However, we have only begun to realize their potential. Nevertheless, the benefits of graph processing could be canceled out by the rapid increase in data scale and diversity, as well as the increasing complexity in developing, executing, and sharing graph-based algorithms and workflows. The emerging field of graph processing systems promises to tackle these challenges. To make such systems effective and efficient, and facilitate their adoption, we need holistic approaches to cope with data transformation and ingestion, workload and system dynamics, high-tier graph programming and co-design with the platform, the emerging computing continuum, and domain-specific needs, among others. Our seminar explored the symbiosis of graph systems, machine learning, and network science by bringing together researchers, developers, and practitioners actively working on these topics with a focus on graphs. The seminar featured a mix of invited talks, expert panels, and focused discussion groups. The report documents these different elements, summarizes the main findings, and identifies the open problems and challenges that we will tackle next as a joint community.
Cite as

Alexandru Iosup, Ana Lucia Varbanescu, Hannes Voigt, and Jože Rožanec. Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact (Dagstuhl Seminar 25171). In Dagstuhl Reports, Volume 15, Issue 4, pp. 79-91, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{iosup_et_al:DagRep.15.4.79,
  author =	{Iosup, Alexandru and Varbanescu, Ana Lucia and Voigt, Hannes and Ro\v{z}anec, Jo\v{z}e},
  title =	{{Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact (Dagstuhl Seminar 25171)}},
  pages =	{79--91},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{15},
  number =	{4},
  editor =	{Iosup, Alexandru and Varbanescu, Ana Lucia and Voigt, Hannes and Ro\v{z}anec, Jo\v{z}e},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.4.79},
  URN =		{urn:nbn:de:0030-drops-252708},
  doi =		{10.4230/DagRep.15.4.79},
  annote =	{Keywords: digital continuum choreography, graph processing optimization, machine learning on graphs, massive graphs, sustainable distributed graph processing}
}
Document
DOI: 10.4230/DagRep.11.4.34
Serverless Computing (Dagstuhl Seminar 21201)

Authors: Cristina Abad, Ian T. Foster, Nikolas Herbst, and Alexandru Iosup

Published in: Dagstuhl Reports, Volume 11, Issue 4 (2021)

Abstract
In the backbone of our digital society, cloud computing enables an efficient, utility-like ecosystem of developing, composing, and providing software services. Responding to a trend to make cloud computing services more accessible, fine-grained, and affordable, serverless computing has gained rapid adoption in practice, and garnered much interest from both industry and academia. However successful, serverless computing manifests today the opportunities and challenges of emerging technology: a rapidly growing field but scattered vision, plenty of new technologies but no coherent approach to design solutions from them, many simple applications but no impressive advanced solution, the emergence of a cloud continuum (resources from datacenters to the edge) but no clear path to leverage it efficiently, and overall much need but also much technical complexity. Several related but disjoint fields, notably software and systems engineering, parallel and distributed systems, and system and performance analysis and modeling, aim to address these opportunities and challenges. Excellent collaboration between these fields in the next decade will be critical in establishing serverless computing as a viable technology. We organized this Dagstuhl seminar to bring together researchers, developers, and practitioners across disciplines in serverless computing, to develop a vision and detailed answers to the timely and relevant, open challenges related to the following topics: - Topic 1: design decisions for serverless systems, platforms, and ecosystems, - Topic 2: software engineering of serverless applications, but also systems, platforms, and ecosystems - Topic 3: applications and domain requirements for serverless computing, - Topic 4: evaluation of serverless solutions, and beyond (privacy, cyber-physical systems, etc.). In this document, we report on the outcomes of Dagstuhl Seminar 21201 "Serverless Computing" by integrating diverse views and synthesizing a shared vision for the next decade of serverless computing.
Cite as

Cristina Abad, Ian T. Foster, Nikolas Herbst, and Alexandru Iosup. Serverless Computing (Dagstuhl Seminar 21201). In Dagstuhl Reports, Volume 11, Issue 4, pp. 34-93, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{abad_et_al:DagRep.11.4.34,
  author =	{Abad, Cristina and Foster, Ian T. and Herbst, Nikolas and Iosup, Alexandru},
  title =	{{Serverless Computing (Dagstuhl Seminar 21201)}},
  pages =	{34--93},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{4},
  editor =	{Abad, Cristina and Foster, Ian T. and Herbst, Nikolas and Iosup, Alexandru},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.11.4.34},
  URN =		{urn:nbn:de:0030-drops-147982},
  doi =		{10.4230/DagRep.11.4.34},
  annote =	{Keywords: Cloud computing, Cloud continuum, data-driven, design patterns, DevOps, experimentation, model-driven, serverless computing, simulation, software architecture, systems management, vision}
}
Document
DOI: 10.4230/DagRep.9.12.1
Big Graph Processing Systems (Dagstuhl Seminar 19491)

Authors: Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt

Published in: Dagstuhl Reports, Volume 9, Issue 12 (2020)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19491 "Big Graph Processing Systems". We are just beginning to understand the role graph processing could play in our society. Data is not just getting bigger, but, crucially, also more connected. Exploring, describing, predicting, and explaining real- and digital-world phenomena is increasingly relying on abstractions that can express interconnectedness. Graphs are such an abstraction. They can model naturally the complex relationships, interactions, and interdependencies between objects. However, after initial success, graph processing systems are struggling to cope with the new scale, diversity, and other real-world needs. The Dagstuhl Seminar 19491 aims to addresses the question: How could the next decade look like for graph processing systems? To identify the opportunities and challenges of graph processing systems over the next decade, we met in December 2019 with circa 40 high-quality and diverse researchers for the Dagstuhl Seminar on Big Graph Processing Systems. A main strength of this seminar is the combination of the data management and large-scale systems communities. The seminar was successful, and addressed in particular topics around graph processing systems: ecosystems, abstractions and other fundamental theory, and performance.
Cite as

Angela Bonifati, Alexandru Iosup, Sherif Sakr, and Hannes Voigt. Big Graph Processing Systems (Dagstuhl Seminar 19491). In Dagstuhl Reports, Volume 9, Issue 12, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@Article{bonifati_et_al:DagRep.9.12.1,
  author =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  title =	{{Big Graph Processing Systems (Dagstuhl Seminar 19491)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Bonifati, Angela and Iosup, Alexandru and Sakr, Sherif and Voigt, Hannes},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.12.1},
  URN =		{urn:nbn:de:0030-drops-120098},
  doi =		{10.4230/DagRep.9.12.1},
  annote =	{Keywords: Abstractions, Big Data, Big Graph, data management, Ecosystems, graph processing, Performance, systems, Theory}
}
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