Self-star Properties in Complex Information Systems: Conceptual and Practical FoundationsOzalp Babaoglu Springer Science & Business Media, 2005. gada 24. maijs - 445 lappuses Information systems can be complex due to numerous factors including scale, decentralization, heterogeneity, mobility, dynamism, bugs and failures. Depl- ing, operating and maintaining such systems can be not only very di'cult, but also very costly. A ?urry of recent activity has been directed at this pr- lem, and future information systems are envisioned as self-con'guring, se- organizing, self-managingandself-repairing.Collectively, wecalltheseproperties self- properties. This book is a "spin-o?" of a by-invitation-only Bertinoro workshop on se- propertiesincomplexsystemswhichwasheldinsummer2004inBertinoro, Italy. The Self-star workshop brought together researchers and practitioners from d- ferent disciplines and with di'erent backgrounds to discuss complex information systems.Thethemeoftheworkshopwastoidentifytheconceptualandpractical foundationsformodeling, analyzingandachievingself- propertiesindistributed and networked systems. Partly based on these discussions, we solicited papers from the workshop participants and a set of invitees for this book. We sought original contributions in which authors explicitly take a position concerningrequirements, usefulness, potentialandlimitations oftechnologies for self- properties of complex systems. This position needed to be founded on - search results that were put clearly in context with respect to the position sta- ment. We strongly encouraged visionary statements, thought-provoking ideas, and exploratory results that will help the reader form her or his own opinions on the importance of self- properties in current and future complex information systems. |
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The Selfstar Vision | 1 |
Evolving Fractal Gene Regulatory Networks for Graceful Degradation | 21 |
Shared Problems | 36 |
Self Topology Control in Wireless Multihop Ad Hoc Communication | 49 |
Emergent Consensus in Decentralised Systems Using Collaborative | 63 |
PeertoPeer Algorithms | 79 |
An Emergent | 81 |
An Algorithmic View | 97 |
Fundamentals of Dynamic Decentralized Optimization in Autonomic | 204 |
Selfawareness vs Selforganization | 219 |
Supporting Self | 260 |
Requirements Models | 273 |
An Efficient Platform for the Construction of Autonomic | 291 |
The TOTA Approach | 307 |
Towards Selfmanaging QoSEnabled PeertoPeer Systems | 325 |
Design and Analysis of a Bioinspired Search Algorithm for Peer | 358 |
Selfawareness | 112 |
On the Use of Online Analytic Performance Models in Selfmanaging | 128 |
PredictionBased Software Availability Enhancement | 143 |
Making Selfadaptation an Engineering Reality | 160 |
An Online Control Framework for Designing Selfoptimizing Computing | 174 |
Selfmanagement of Systems Through Automatic Restart | 189 |
Multifaceted Simultaneous Load Balancing in DHTBased | 373 |
Robust LocalityAware Lookup Networks | 392 |
PowerAware Distributed Protocol for a Connectivity Problem | 403 |
Selfmanagement of Virtual Paths in Dynamic Networks | 417 |
Examples and Prospects | 433 |
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