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Distributed Systems

Almost every computing system nowadays is distributed, ranging from multi-core laptops to Internet-scale services; understanding the principles of distributed computing is hence important for the design and engineering of modern computing systems.  Fundamental issues that arise in reliable and efficient distributed systems include developing adequate methods for modeling failures and synchrony assumptions, determining precise performance bounds on implementations of concurrent data structures, capturing the trade-off between consistency and efficiency, and demarcating the frontier of feasibility in distributed computing.

For example, popular Internet services and applications such as CNN.com, YouTube, Facebook, Skype, BitTorrent attract millions of users every day, and only by the effective load-balancing and collaboration of many thousand machines, an acceptable Quality-of-Service/Quality-of-Experience can be guaranteed. While distributed systems promise a good scalability as well as a high robustness, they pose challenging research problems, such as: How to design robust and scalable distributed architectures and services? How to coordinate access to a shared resource, e.g., by electing a leader? Or how to provide incentives for cooperation in an open, collaborative distributed system?

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Selected Publications

A Distributed and Oblivious Heap
Zitatschlüssel SS-DOH-09
Autor Scheideler, Christian and Schmid, Stefan
Buchtitel 36th International Colloquium on Automata, Languages and Programming (ICALP)
Seiten 571–582
Jahr 2009
ISBN 978-3-642-02929-5
ISSN 0302-9743
DOI http://dx.doi.org/10.1007/978-3-642-02930-1_47
Ort Rhodes, Greece
Adresse Berlin / Heidelberg, Germany
Jahrgang 5556
Monat July
Verlag Springer
Serie Lecture Notes in Computer Science (LNCS)
Zusammenfassung This paper shows how to build and maintain a distributed heap which we call SHELL. In contrast to standard heaps, our heap is oblivious in the sense that its structure only depends on the nodes currently in the network but not on the past. This allows for fast join and leave operations which is desirable in open distributed systems with high levels of churn and frequent faults. In fact, a node fault or departure can be fixed in SHELL in a constant number of communication rounds, which significantly improves the best previous bound for distributed heaps. SHELL has interesting applications. First, we describe a robust distributed information system which is resilient to Sybil attacks of arbitrary scale. Second, we show how to organize heterogeneous nodes of arbitrary non-uniform capabilities in an overlay network such that the paths between any two nodes do not include nodes of lower capacities. This property is useful, e.g., for streaming. All these features can be achieved without sacrificing scalability: our heap has a de Bruijn like topology with node degree O(log^2 n) and network diameter O(log n), n being the total number of nodes in the system.
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