Workshop 15: Distributed Systems and Algorithms
Programme Committee:
General Chair. Ernst Mayr
(TU Munich, Germany),
mayr@informatik.tu-muenchen.de
Local Chair. Pavlos Spirakis
(CTI, Greece)
spirakis@cti.gr
Vice Chair. Friedemann Mattern
(Technical University of Darmstadt, Germany)
mattern@informatik.TU-Darmstadt.de
Vice Chair. Marios Mavronicolas
(University of Cyprus, Cyprus)
mavronic@turing.cs.ucy.ac.cy
Description:
Interprocessor communication has become fast enough that
distributed systems can be used to solve highly parallel problems in
addition to more traditional distributed problems (such as
client-server applications). These distributed systems range from a
local area network of homogeneous workstations to coordinated
heterogenous workstations and supercomputers. Algorithmic and
architectural solutions to problems from the fields of distributed and
parallel processing (as well as new solutions) can often be applied or
adapted to these kinds of systems. Typical examples are
implementations of shared memory abstractions on top of
message-passing systems, scheduling parallel applications on
distributed heterogeneous systems, mechanism and abstractions for
fault tolerance, and algorithms to provide elementary system functions
and services. This workshop aims at these and other themes mentioned
below. Presentations of distributed applications (e.g., databases,
cooperative processing, metacomputing, real-time issues) that
illustrate pertinent concepts are also welcome. We generally encourage
papers that emphasize the junction between distributed computing and
parallelism.
Topics of interest include:
- paradigms and mechanisms for communication and cooperation
- distributed and heterogenous computing (metacomputing) programming models
- techniques and formal models for the design and analysis of distributed systems
- system support for applications on distributed-memory machines
- system support and infrastructures for heterogenous distributed applications
- architectures and structuring mechanisms for parallel and distributed systems
- scalability and performance aspects