1.

Record Nr.

UNISA996465634903316

Titolo

Frontiers of Combining Systems [[electronic resource] ] : 7th International Symposium, FroCoS 2009, Trento, Italy, September 16-18, 2009, Proceedings / / edited by Silvio Ghilardi, Roberto Sebastiani

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009

ISBN

3-642-04222-8

Edizione

[1st ed. 2009.]

Descrizione fisica

1 online resource (X, 383 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 5749

Classificazione

DAT 706f

SS 4800

Disciplina

004n/a

Soggetti

Artificial intelligence

Computers

Mathematical logic

Computer logic

Software engineering

Algorithms

Artificial Intelligence

Theory of Computation

Mathematical Logic and Formal Languages

Logics and Meanings of Programs

Software Engineering

Algorithm Analysis and Problem Complexity

Kongress.

Trient (2009)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Invited Talks -- Building SMT-Based Software Model Checkers: An Experience Report -- Combining Nonmonotonic Knowledge Bases with External Sources -- Combining Description Logics, Description Graphs, and Rules -- Combining Equational Reasoning -- Technical Papers -- Superposition Modulo Linear Arithmetic SUP(LA) -- Unification Modulo Homomorphic Encryption -- Argument Filterings and Usable Rules for



Simply Typed Dependency Pairs -- DL-Lite with Temporalised Concepts, Rigid Axioms and Roles -- Runtime Verification Using a Temporal Description Logic -- Axiomatization and Completeness of Lexicographic Products of Modal Logics -- Automating Theories in Intuitionistic Logic -- Taming the Complexity of Temporal Epistemic Reasoning -- Putting ABox Updates into Action -- A Declarative Agent Programming Language Based on Action Theories -- Termination Modulo Combinations of Equational Theories -- Combinations of Theories for Decidable Fragments of First-Order Logic -- Products of Modal Logics with Diagonal Constant Lacking the Finite Model Property -- Improving Coq Propositional Reasoning Using a Lazy CNF Conversion Scheme -- Combining Instance Generation and Resolution -- Data Structures with Arithmetic Constraints: A Non-disjoint Combination -- Efficient Combination of Decision Procedures for MUS Computation -- Learning to Integrate Deduction and Search in Reasoning about Quantified Boolean Formulas -- Combining Theories with Shared Set Operations.

Sommario/riassunto

This book constitutes the refereed proceedings of the 7th International Symposium on Frontiers of Combining Systems, FroCoS 2007, held in Trento, Italy, September 16-18, 2009. The 20 revised full papers presented were carefully reviewed and selected. The papers are organized in topical sections on combinations of logics, theories, and decision procedures; constraint solving and programming; combination issues in rewriting and programming as well as in logical frameworks and theorem proving systems.



2.

Record Nr.

UNINA9911020355303321

Autore

Zink Michael <1970->

Titolo

Scalable video on demand : adaptive Internet-based distribution / / Michael Zink

Pubbl/distr/stampa

Hoboken, N.J., : J. Wiley & Sons, c2005

ISBN

9781118691182

1118691180

9780470022702

0470022701

9780470022696

0470022698

Descrizione fisica

1 online resource (292 p.)

Disciplina

006.7

Soggetti

Streaming technology (Telecommunications)

Video-on-demand

Internet television

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. [233]-244) and index.

Nota di contenuto

Cover; Title Page; Contents; List of Figures; List of Tables; About the Author; Acknowledgements; Acronyms; 1 Introduction; 1.1 Why Scalable Internet Video on Demand Systems?; 1.2 What is the Goal of this Book?; 1.3 Outline of this Book; 1.4 Who is this Book for?; 2 Scalable Adaptive Streaming Architecture; 2.1 Distributed Systems; 2.2 Replication; 2.2.1 Server-initiated Replication; 2.2.2 Client-initiated Caching; 2.3 Video Distribution System Terminology; 2.3.1 Origin Server; 2.3.2 Proxy Cache; 2.3.3 Cache Replacement; 2.3.4 Client; 2.3.5 Logical Overlay; 2.3.6 Video Object

2.3.7 Video on Demand (VoD)2.4 Architecture; 2.4.1 A Snapshot of Today's Internet Infrastructure; 2.4.2 Advantages of Caching; 2.4.3 VoD without Scalable Adaptive Streaming; 2.4.4 System Scalability; 2.4.5 Content Scalability; 2.4.6 Combining System and Content Scalability; 2.4.7 VoD with Scalable Adaptive Streaming Support; 2.5 Scenario for Scalable Adaptive Streaming; 2.6 An Example Application for Scalable Adaptive Streaming; 3 Towards a Scalable Adaptive Streaming



Architecture; 3.1 Products; 3.2 Standardization; 3.2.1 IETF; 3.2.2 DVB and DAVIC

3.3 Content Scalability-Scalable Encoded Video3.3.1 Hierarchically Layer-encoded Video; 3.3.2 Fine Granularity Scalability; 3.3.3 Multiple Description Coding; 3.3.4 Comparison of Layered Encoding Approaches; 3.4 Congestion Control-TCP-friendliness; 3.4.1 The Window-based Approach; 3.4.2 The Rate-based Approach; 3.5 Adaptive Streaming-Streaming Layer-encoded Video without Caches; 3.6 System Scalability-Caches; 3.6.1 Partial Caching of Video Objects; 3.6.2 Time-based Partial Caching; 3.6.3 Bandwidth-based Partial Caching; 3.6.4 Disadvantages of Partial Video Caching

3.7 Reliable Transport into Caches3.8 Cache Clusters; 4 Quality Variations in Layer-encoded Video; 4.1 What is the Relation between Objective and Subjective Quality?; 4.2 Quality Metrics for Video; 4.2.1 Existing Work on Quality Metrics for Layer-encoded Video; 4.2.2 Objective Video Quality Assessment; 4.3 Test Environment; 4.3.1 Layer-encoded Video Format-SPEG; 4.3.2 Test Generation-Full Control; 4.3.3 Measurement Method-Stimulus Comparison; 4.3.4 Test Application-Enforcing Time Constraints; 4.4 Experiment; 4.4.1 Scenario; 4.4.2 Candidates; 4.4.3 Procedure; 4.4.4 Layer Patterns; 4.5 Results

4.5.1 Same Number of Segments4.5.2 Different Number of Segments; 4.5.3 Sequence Size and Quality; 4.6 The Spectrum; 4.6.1 Comparison of the Spectrum with the Subjective Assessment Results and the PSNR; 4.7 Implications for MDC and FGS; 4.7.1 MDC; 4.7.2 FGS; 4.8 Summary; 5 Retransmission Scheduling; 5.1 Motivation; 5.1.1 Retransmission Time; 5.1.2 Retransmission Focus; 5.1.3 Scheduling Goals; 5.2 Optimal Retransmission Scheduling; 5.3 Heuristics for Retransmission Scheduling; 5.4 Viewer-centric Retransmission Scheduling; 5.4.1 Window-based Lowest Layer First (W-LLF)

5.4.2 Unrestricted Priority-based Heuristics

Sommario/riassunto

In recent years, the proliferation of available video content and the popularity of the Internet have encouraged service providers to develop new ways of distributing content to clients. Increasing video scaling ratios and advanced digital signal processing techniques have led to Internet Video-on-Demand applications, but these currently lack efficiency and quality. Scalable Video on Demand: Adaptive Internet-based Distribution examines how current video compression and streaming can be used to deliver high-quality applications over the Internet. In addition to analysing the problems