04451 Abstracts Collection -- Future Generation Grids

The Dagstuhl Seminar 04451 "Future Generation Grid" was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl from 1st to 5th November 2004. The focus of the seminar was on open problems and future challenges in the design of next generation Grid systems. A total of 45 participants presented their current projects, research plans, and new ideas in the area of Grid technologies. Several evening sessions with vivid discussions on future trends complemented the talks. This report gives an overview of the background and the findings of the seminar

Unattended network operations technology assessment study. Technical support for defining advanced satellite systems concepts

The results are summarized of an unattended network operations technology assessment study for the Space Exploration Initiative (SEI). The scope of the work included: (1) identified possible enhancements due to the proposed Mars communications network; (2) identified network operations on Mars; (3) performed a technology assessment of possible supporting technologies based on current and future approaches to network operations; and (4) developed a plan for the testing and development of these technologies. The most important results obtained are as follows: (1) addition of a third Mars Relay Satellite (MRS) and MRS cross link capabilities will enhance the network's fault tolerance capabilities through improved connectivity; (2) network functions can be divided into the six basic ISO network functional groups; (3) distributed artificial intelligence technologies will augment more traditional network management technologies to form the technological infrastructure of a virtually unattended network; and (4) a great effort is required to bring the current network technology levels for manned space communications up to the level needed for an automated fault tolerance Mars communications network

Estudo sobre processamento maciçamente paralelo na internet

Orientador: Marco Aurélio Amaral HenriquesTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de ComputaçãoResumo: Este trabalho estuda a possibilidade de aproveitar o poder de processamento agregado dos computadores conectados pela Internet para resolver problemas de grande porte. O trabalho apresenta um estudo do problema tanto do ponto de vista teórico quanto prático. Desde o ponto de vista teórico estudam-se as características das aplicações paralelas que podem tirar proveito de um ambiente computacional com um grande número de computadores heterogêneos fracamente acoplados. Desde o ponto de vista prático estudam-se os problemas fundamentais a serem resolvidos para se construir um computador paralelo virtual com estas características e propõem-se soluções para alguns dos mais importantes como balanceamento de carga e tolerância a falhas. Os resultados obtidos indicam que é possível construir um computador paralelo virtual robusto, escalável e tolerante a falhas e obter bons resultados na execução de aplicações com alta razão computação/comunicaçãoAbstract: This thesis explores the possibility of using the aggregated processing power of computers connected by the Internet to solve large problems. The issue is studied both from the theoretical and practical point of views. From the theoretical perspective this work studies the characteristics that parallel applications should have to be able to exploit an environment with a large, weakly connected set of computers. From the practical perspective the thesis indicates the fundamental problems to be solved in order to construct a large parallel virtual computer, and proposes solutions to some of the most important of them, such as load balancing and fault tolerance. The results obtained so far indicate that it is possible to construct a robust, scalable and fault tolerant parallel virtual computer and use it to execute applications with high computing/communication ratioDoutoradoEngenharia de ComputaçãoDoutor em Engenharia Elétric

Fault Tolerant Real Time Dynamic Scheduling Algorithm For Heterogeneous Distributed System

Fault-tolerance becomes an important key to establish dependability in Real Time Distributed Systems (RTDS). In fault-tolerant Real Time Distributed systems, detection of fault and its recovery should be executed in timely manner so that in spite of fault occurrences the intended output of real-time computations always take place on time. Hardware and software redundancy are well-known e ective methods for faulttolerance, where extra hard ware (e.g., processors, communication links) and software (e.g., tasks, messages) are added into the system to deal with faults. Performances of RTDS are mostly guided by eciency of scheduling algorithm and schedulability analysis are performed on the system to ensure the timing constrains. This thesis examines the scenarios where a real time system requires very little redundant hardware resources to tolerate failures in heterogeneous real time distributed systems with point-to-point communication links. Fault tolerance can be achieved by..

Evaluation of On-line Reconfiguration Techniques for a Distributed Avionic Middleware

On-board Computers are at the centre of space-faring systems. Commercial Of The Shelf (COTS) components provide higher performance but do not provide fault-tolerance mechanisms. To tackle this, the DLR utilises a distributed system of COTS components, that run a middleware called ScOSA. ScOSA manages nodes in a distributed system and, upon a node failure, mitigates the effects by reconfiguring the system to a configuration that excludes the failed node. An online algorithm was implemented in the middleware of ScOSA, designed as a combination of the online algorithms acquired during literature research. After defining specific requirements for the tailor-made online algorithm, it was tested on the target hardware and by using virtual nodes for its feasibility and scalability. It was compared with the offline situation on time and network usage. The design of an online algorithm for ScOSA proved to be feasible. It was not only capable of creating configurations dynamically but also provided scalability

Resiliency in numerical algorithm design for extreme scale simulations

This work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale Simulations’ held March 1–6, 2020, at Schloss Dagstuhl, that was attended by all the authors. Advanced supercomputing is characterized by very high computation speeds at the cost of involving an enormous amount of resources and costs. A typical large-scale computation running for 48 h on a system consuming 20 MW, as predicted for exascale systems, would consume a million kWh, corresponding to about 100k Euro in energy cost for executing 1023 floating-point operations. It is clearly unacceptable to lose the whole computation if any of the several million parallel processes fails during the execution. Moreover, if a single operation suffers from a bit-flip error, should the whole computation be declared invalid? What about the notion of reproducibility itself: should this core paradigm of science be revised and refined for results that are obtained by large-scale simulation? Naive versions of conventional resilience techniques will not scale to the exascale regime: with a main memory footprint of tens of Petabytes, synchronously writing checkpoint data all the way to background storage at frequent intervals will create intolerable overheads in runtime and energy consumption. Forecasts show that the mean time between failures could be lower than the time to recover from such a checkpoint, so that large calculations at scale might not make any progress if robust alternatives are not investigated. More advanced resilience techniques must be devised. The key may lie in exploiting both advanced system features as well as specific application knowledge. Research will face two essential questions: (1) what are the reliability requirements for a particular computation and (2) how do we best design the algorithms and software to meet these requirements? While the analysis of use cases can help understand the particular reliability requirements, the construction of remedies is currently wide open. One avenue would be to refine and improve on system- or application-level checkpointing and rollback strategies in the case an error is detected. Developers might use fault notification interfaces and flexible runtime systems to respond to node failures in an application-dependent fashion. Novel numerical algorithms or more stochastic computational approaches may be required to meet accuracy requirements in the face of undetectable soft errors. These ideas constituted an essential topic of the seminar. The goal of this Dagstuhl Seminar was to bring together a diverse group of scientists with expertise in exascale computing to discuss novel ways to make applications resilient against detected and undetected faults. In particular, participants explored the role that algorithms and applications play in the holistic approach needed to tackle this challenge. This article gathers a broad range of perspectives on the role of algorithms, applications and systems in achieving resilience for extreme scale simulations. The ultimate goal is to spark novel ideas and encourage the development of concrete solutions for achieving such resilience holistically.Peer Reviewed"Article signat per 36 autors/es: Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M. Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N. Gansterer, Luc Giraud, Dominik G ̈oddeke, Marco Heisig, Fabienne Jezequel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S. Quintana-Ortiz, Francesco Rizzi, Ulrich Rude, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thonnes, Andreas Wagner and Barbara Wohlmuth"Postprint (author's final draft