Future Directions in Distributed Computing: Research and Position Papers
Every year we witness acceleration in the availability, deployment, and use of distributed applications. However building increasingly sophisticated applications for extant and emerging networked systems continues to be challenging for several reasons: – Abstract models of computation used in distributed systems research often do not fully capture the limitations and the unpredictable nature of realistic distributed computing platforms; – Fault-tolerance and efficiency of computation are difficult to combine when the c- puting medium is subject to changes, asynchrony, and failures; – Middleware used for constructing distributed software does not provide services most suitable for sophisticated distributed applications; – Middleware services are specified informally and without precise guarantees of e- ciency, fault-tolerance, scalability, and compositionality; – Specification of distributed deployment of software systems is often left out of the development process; – Finally, there persists an organizational and cultural gap between engineering groups developing systems in a commercial enterprise, and research groups advancing the scientific state-of-the-art in academic and industrial settings. The objectives of this book are: (1) to serve as a motivation for defining future research programs in distributed computing, (2) to help identify areas where practitioners and engineers on the one hand and scientists and researchers on the other can improve the state of distributed computing through synergistic efforts, and (3) to motivate graduate students interested in entering the exciting research field of distributed computing.
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Future Directions in Distributed Computing: Research and Position Papers
Every year we witness acceleration in the availability, deployment, and use of distributed applications. However building increasingly sophisticated applications for extant and emerging networked systems continues to be challenging for several reasons: – Abstract models of computation used in distributed systems research often do not fully capture the limitations and the unpredictable nature of realistic distributed computing platforms; – Fault-tolerance and efficiency of computation are difficult to combine when the c- puting medium is subject to changes, asynchrony, and failures; – Middleware used for constructing distributed software does not provide services most suitable for sophisticated distributed applications; – Middleware services are specified informally and without precise guarantees of e- ciency, fault-tolerance, scalability, and compositionality; – Specification of distributed deployment of software systems is often left out of the development process; – Finally, there persists an organizational and cultural gap between engineering groups developing systems in a commercial enterprise, and research groups advancing the scientific state-of-the-art in academic and industrial settings. The objectives of this book are: (1) to serve as a motivation for defining future research programs in distributed computing, (2) to help identify areas where practitioners and engineers on the one hand and scientists and researchers on the other can improve the state of distributed computing through synergistic efforts, and (3) to motivate graduate students interested in entering the exciting research field of distributed computing.
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Future Directions in Distributed Computing: Research and Position Papers

Future Directions in Distributed Computing: Research and Position Papers

Future Directions in Distributed Computing: Research and Position Papers

Future Directions in Distributed Computing: Research and Position Papers

Paperback(2003)

$54.99 
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Overview

Every year we witness acceleration in the availability, deployment, and use of distributed applications. However building increasingly sophisticated applications for extant and emerging networked systems continues to be challenging for several reasons: – Abstract models of computation used in distributed systems research often do not fully capture the limitations and the unpredictable nature of realistic distributed computing platforms; – Fault-tolerance and efficiency of computation are difficult to combine when the c- puting medium is subject to changes, asynchrony, and failures; – Middleware used for constructing distributed software does not provide services most suitable for sophisticated distributed applications; – Middleware services are specified informally and without precise guarantees of e- ciency, fault-tolerance, scalability, and compositionality; – Specification of distributed deployment of software systems is often left out of the development process; – Finally, there persists an organizational and cultural gap between engineering groups developing systems in a commercial enterprise, and research groups advancing the scientific state-of-the-art in academic and industrial settings. The objectives of this book are: (1) to serve as a motivation for defining future research programs in distributed computing, (2) to help identify areas where practitioners and engineers on the one hand and scientists and researchers on the other can improve the state of distributed computing through synergistic efforts, and (3) to motivate graduate students interested in entering the exciting research field of distributed computing.

Product Details

ISBN-13: 9783540009122
Publisher: Springer Berlin Heidelberg
Publication date: 07/29/2003
Series: Lecture Notes in Computer Science , #2584
Edition description: 2003
Pages: 226
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Practical Impact of Group Communication Theory.- On the Impact of Academic Distributed Systems Research on Industrial Practice.- Using Error-Correcting Codes to Solve Distributed Agreement Problems: A Future Direction in Distributed Computing?.- Lower Bounds for Asynchronous Consensus.- Designing Algorithms for Dependent Process Failures.- Comparing the Atomic Commitment and Consensus Problems.- Open Questions on Consensus Performance inWell-Behaved Runs.- Challenges in Evaluating Distributed Algorithms.- Towards Robust Optimistic Approaches.- Towards a Practical Approach to Confidential Byzantine Fault Tolerance.- Modeling Complexity in Secure Distributed Computing.- Communication and Data Sharing for Dynamic Distributed Systems.- Dissecting Distributed Computations.- Ordering vs Timeliness: Two Facets of Consistency?.- WAIF:Web of Asynchronous Information Filters.- The Importance of Aggregation.- Dynamic Lookup Networks.- The Surprising Power of Epidemic Communication.- Topology-Aware Routing in Structured Peer-to-Peer Overlay Networks.- Uncertainty and Predictability: Can They Be Reconciled?.- Fuzzy Group Membership.- Toward Self-Organizing, Self-Repairing and Resilient Distributed Systems.- Dynamically Provisioning Distributed Systems to Meet Target Levels of Performance, Availability, and Data Quality.- Database Replication Based on Group Communication: Implementation Issues.- The Evolution of Publish/Subscribe Communication Systems.- Naming and Integrity: Self-Verifying Data in Peer-to-Peer Systems.- Spread Spectrum Storage with Mnemosyne.- Replication Strategies for Highly Available Peer-to-Peer Storage.- A Data-Centric Approach for Scalable State Machine Replication.- Scaling Optimistic Replication.- Building a Bridge between Distributed Systems Theory and Commercial Practice.- Holistic Operations in Large-Scale Sensor Network Systems: A Probabilistic Peer-to-Peer Approach.- Challenges in Making Pervasive Systems Dependable.- Towards Dependable Networks of Mobile Arbitrary Devices - Diagnosis and Scalability.- Technology Challenges for the Global Real-Time Enterprise.- Middleware for Supporting Inter-organizational Interactions.- Hosting of Libre Software Projects: A Distributed Peer-to-Peer Approach.- System Support for Pervasive Applications.- Technology Challenges for the Global Real-Time Enterprise.- Middleware for Supporting Inter-organizational Interactions.- Hosting of Libre Software Projects: A Distributed Peer-to-Peer Approach.- System Support for Pervasive Applications.
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