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Advances in Information Retrieval Theory [[electronic resource] ] : Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings / / edited by Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz
| Advances in Information Retrieval Theory [[electronic resource] ] : Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings / / edited by Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XVI, 386 p.) |
| Disciplina | 004 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Recuperació de la informació
Information storage and retrieval Artificial intelligence Data mining Database management Algorithms Application software Information Storage and Retrieval Artificial Intelligence Data Mining and Knowledge Discovery Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-642-04417-4 |
| Classificazione |
DAT 825f
SS 4800 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Is There Something Quantum-Like about the Human Mental Lexicon? -- Regular Papers -- Probably Approximately Correct Search -- PageRank: Splitting Homogeneous Singular Linear Systems of Index One -- Training Data Cleaning for Text Classification -- Semi-parametric and Non-parametric Term Weighting for Information Retrieval -- Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR -- Ordinal Regression Based Model for Personalized Information Retrieval -- Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models -- A Belief Model of Query Difficulty That Uses Subjective Logic -- “A term is known by the company it keeps”: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback -- An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model -- Time-Sensitive Language Modelling for Online Term Recurrence Prediction -- Score Distributions in Information Retrieval -- Modeling the Score Distributions of Relevant and Non-relevant Documents -- Modeling Expected Utility of Multi-session Information Distillation -- Specificity Aboutness in XML Retrieval -- An Effectiveness Measure for Ambiguous and Underspecified Queries -- An Analysis of NP-Completeness in Novelty and Diversity Ranking -- From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities -- Short Papers -- A Quantum-Based Model for Interactive Information Retrieval -- The Quantum Probability Ranking Principle for Information Retrieval -- Written Texts as Statistical Mechanical Problem -- What Happened to Content-Based Information Filtering? -- Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models -- Robust Word Similarity Estimation Using Perturbation Kernels -- Possibilistic Similarity Estimation and Visualization -- A New Measure of the Cluster Hypothesis -- Explaining User Performance in Information Retrieval: Challenges to IR Evaluation -- A Four-Factor User Interaction Model for Content-Based Image Retrieval -- Predicting Query Performance by Query-Drift Estimation -- What’s in a Link? From Document Importance to Topical Relevance -- Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links -- Optimizing WebPage Interest -- Posters -- The “Beautiful” in Information -- IR Evaluation without a Common Set of Topics -- An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification -- Less Is More: Maximal Marginal Relevance as a Summarisation Feature -- On the Notion of “An Information Need” -- A Logical Inference Approach to Query Expansion with Social Tags -- Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark -- Predicting the Usefulness of Collection Enrichment for Enterprise Search -- Ranking List Dispersion as a Query Performance Predictor -- Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification -- Batch-Mode Computational Advertising Based on Modern Portfolio Theory. |
| Record Nr. | UNISA-996465644303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Information Retrieval Theory : Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings / / edited by Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz
| Advances in Information Retrieval Theory : Second International Conference on the Theory of Information Retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 Proceedings / / edited by Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XVI, 386 p.) |
| Disciplina | 004 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Recuperació de la informació
Information storage and retrieval Artificial intelligence Data mining Database management Algorithms Application software Information Storage and Retrieval Artificial Intelligence Data Mining and Knowledge Discovery Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-642-04417-4 |
| Classificazione |
DAT 825f
SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Is There Something Quantum-Like about the Human Mental Lexicon? -- Regular Papers -- Probably Approximately Correct Search -- PageRank: Splitting Homogeneous Singular Linear Systems of Index One -- Training Data Cleaning for Text Classification -- Semi-parametric and Non-parametric Term Weighting for Information Retrieval -- Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR -- Ordinal Regression Based Model for Personalized Information Retrieval -- Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models -- A Belief Model of Query Difficulty That Uses Subjective Logic -- “A term is known by the company it keeps”: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback -- An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model -- Time-Sensitive Language Modelling for Online Term Recurrence Prediction -- Score Distributions in Information Retrieval -- Modeling the Score Distributions of Relevant and Non-relevant Documents -- Modeling Expected Utility of Multi-session Information Distillation -- Specificity Aboutness in XML Retrieval -- An Effectiveness Measure for Ambiguous and Underspecified Queries -- An Analysis of NP-Completeness in Novelty and Diversity Ranking -- From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities -- Short Papers -- A Quantum-Based Model for Interactive Information Retrieval -- The Quantum Probability Ranking Principle for Information Retrieval -- Written Texts as Statistical Mechanical Problem -- What Happened to Content-Based Information Filtering? -- Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models -- Robust Word Similarity Estimation Using Perturbation Kernels -- Possibilistic Similarity Estimation and Visualization -- A New Measure of the Cluster Hypothesis -- Explaining User Performance in Information Retrieval: Challenges to IR Evaluation -- A Four-Factor User Interaction Model for Content-Based Image Retrieval -- Predicting Query Performance by Query-Drift Estimation -- What’s in a Link? From Document Importance to Topical Relevance -- Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links -- Optimizing WebPage Interest -- Posters -- The “Beautiful” in Information -- IR Evaluation without a Common Set of Topics -- An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification -- Less Is More: Maximal Marginal Relevance as a Summarisation Feature -- On the Notion of “An Information Need” -- A Logical Inference Approach to Query Expansion with Social Tags -- Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark -- Predicting the Usefulness of Collection Enrichment for Enterprise Search -- Ranking List Dispersion as a Query Performance Predictor -- Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification -- Batch-Mode Computational Advertising Based on Modern Portfolio Theory. |
| Record Nr. | UNINA-9910483550303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Heron streaming : fundamentals, applications, operations, and insights / / Huijun Wu, Maosong Fu
| Heron streaming : fundamentals, applications, operations, and insights / / Huijun Wu, Maosong Fu |
| Autore | Wu Huijun (Writer on cloud computing) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (211 pages) : illustrations |
| Disciplina | 004.3 |
| Soggetto topico |
Information retrieval
Data mining Big data Information organization Recuperació de la informació Mineria de dades Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-60094-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Who This Book Is For -- How This Book Is Organized -- What You Need for This Book -- Typographical Conventions -- Acknowledgments -- Contents -- About the Authors -- Part I Heron Fundamentals -- 1 Stream Processing -- 1.1 Big Data Processing -- 1.1.1 Lambda Architecture -- 1.1.1.1 Batch Processing Layer -- 1.1.1.2 Stream Processing Layer -- 1.1.1.3 Serving Layer -- 1.1.2 Kappa Architecture -- 1.2 Big Data Stream Processing -- 1.3 From Apache Storm to Apache Heron (Incubating) -- 1.3.1 Motivation for Heron -- 1.3.2 Heron Design Goals -- 1.3.3 Join the Apache Heron (Incubating) Community -- 1.4 Stream Processing Tools -- 1.5 Summary -- References -- 2 Heron Basics -- 2.1 Topology Data Model -- 2.1.1 Topology -- 2.1.2 Spout -- 2.1.3 Bolt -- 2.1.4 Grouping -- 2.2 Heron Architecture and Components -- 2.2.1 Cluster-Level Components (Six Components) -- 2.2.1.1 Scheduler -- 2.2.1.2 State Manager -- 2.2.1.3 Uploader -- 2.2.1.4 Heron CLI -- 2.2.1.5 Heron Tracker -- 2.2.1.6 Heron UI -- 2.2.2 Topology-Level Components (Four Components) -- 2.2.2.1 Heron Instance -- 2.2.2.2 Stream Manager -- 2.2.2.3 Topology Master -- 2.2.2.4 Metrics Manager -- 2.3 Submission Process and Failure Handling -- 2.4 Submit the First Topology -- 2.4.1 Preparation -- 2.4.2 Install the Heron Client -- 2.4.3 Heron Example Topologies -- 2.4.4 Submit the Topology JAR File -- 2.4.5 Observe the Running Topology -- 2.5 Summary -- References -- 3 Study Heron Code -- 3.1 Code Languages -- 3.2 Requirements for Compiling -- 3.3 Prepare the Compiling Environment -- 3.4 Source Organization -- 3.4.1 Directory Organization -- 3.4.2 Bazel Perspective -- 3.5 Compile Heron -- 3.6 Examine Compiling Results -- 3.6.1 Examine the API -- 3.6.2 Examine Packages -- 3.7 Run Tests -- 3.7.1 Unit Test -- 3.7.2 Integration Test -- 3.8 Summary -- References.
Part II Write Heron Topologies -- 4 Migrate Storm Topology to Heron -- 4.1 Prepare the Storm Topology Code -- 4.1.1 Examine the Storm Topology Code -- 4.1.2 Examine the Storm Flux Code -- 4.2 Migrate the Storm Topology Code to a HeronTopology Project -- 4.2.1 Adjust the Topology Java Code -- 4.2.2 Adjust the Project File pom.xml -- 4.2.2.1 Add Dependency -- 4.2.2.2 Build with Dependencies -- 4.2.3 Compile the Topology JAR File -- 4.3 Migrate Storm Flux to Heron ECO -- 4.4 Summary -- References -- 5 Write Topology Code -- 5.1 Before Writing Code -- 5.1.1 Design Topology -- 5.1.2 Choose a Heron API -- 5.2 Write Topology in Java -- 5.2.1 Code the Topology -- 5.2.1.1 Code Main -- 5.2.1.2 Code Spout -- 5.2.1.3 Code Bolt -- 5.2.2 Understand Tuple Flow -- 5.2.2.1 How Tuple Is Constructed -- 5.2.2.2 How Tuple Is Routed -- 5.3 Write Topology in Python -- 5.3.1 Code Main -- 5.3.2 Code Spout -- 5.3.3 Code Bolt -- 5.3.4 Compile and Run -- 5.4 Summary -- Reference -- 6 Heron Topology Features -- 6.1 Delivery Semantics -- 6.1.1 At-Least-Once -- 6.1.2 Effectively-Once -- 6.1.2.1 Requirements for Effectively-Once -- 6.1.2.2 Exactly-Once Versus Effectively-Once -- 6.1.2.3 Stateful Topologies -- 6.1.2.4 Implement Effectively-Once -- 6.2 Windowing -- 6.2.1 Windowing Concepts -- 6.2.2 Windowing Example -- 6.3 Summary -- Reference -- 7 Heron Streamlet API -- 7.1 Streamlet API Concepts -- 7.1.1 Streamlets -- 7.1.2 Operations -- 7.2 Write a Processing Graph with the Java Streamlet API -- 7.2.1 Sources -- 7.2.2 Sinks -- 7.2.3 Transform: Filter, Map, FlatMap -- 7.2.4 Partitioning -- 7.2.5 Clone and Union -- 7.2.6 Reduce by Key and Window -- 7.2.7 Join -- 7.2.8 Configuration -- 7.3 Write a Processing Graph with the Python Streamlet API -- 7.3.1 Source Generator -- 7.3.2 Processing Graph Construction -- 7.4 Write a Processing Graph with the Scala Streamlet API. 7.4.1 Install sbt -- 7.4.2 Source Directory -- 7.4.3 Compose Processing Graph -- 7.4.4 Examine the JAR File -- 7.5 Summary -- References -- Part III Operate Heron Clusters -- 8 Manage a Topology -- 8.1 Install Heron Client -- 8.1.1 What Is Inside heron-core.tar.gz -- 8.1.2 YAML Configuration -- 8.2 Run Topology -- 8.2.1 Topology Life Cycle -- 8.2.2 Submit Topology -- 8.2.3 Observe the Topology Running Status -- 8.3 Explore the ``heron'' Command -- 8.3.1 Common Arguments and Optional Flags -- 8.3.2 Explore ``heron submit'' Options -- 8.3.3 Kill Topology -- 8.3.4 Activate and Deactivate Topology -- 8.3.5 Restart Topology -- 8.3.6 Update Topology -- 8.4 Summary -- References -- 9 Manage Multiple Topologies -- 9.1 Install Heron Tools -- 9.2 Heron Tracker -- 9.3 Heron UI -- 9.4 Heron Explorer -- 9.5 Summary -- Reference -- Part IV Heron Insights -- 10 Explore Heron -- 10.1 Heron Processes -- 10.1.1 Java Processes -- 10.1.2 C++ Processes -- 10.1.3 Python Processes -- 10.2 State Manager -- 10.3 Heron Scheduler -- 10.3.1 Three Plans: Logical, Packing, and Physical -- 10.3.2 Restart Dead Processes -- 10.4 Data Flow -- 10.4.1 Capture Packets -- 10.4.2 Communication Primitive -- 10.5 Metrics System -- 10.5.1 File Sink -- 10.5.2 MetricsCache Manager Sink and TopologyMaster Sink -- 10.6 Summary -- 11 Extending the Heron Metrics Sink -- 11.1 Time Series -- 11.2 Metrics Category -- 11.3 Customize a Metrics Sink -- 11.3.1 Metrics Sink SPI -- 11.3.2 Metrics Sink Configuration -- 11.4 MySQL Metrics Sink -- 11.4.1 Implement IMetricsSink -- 11.4.2 Configure the Metrics Sink -- 11.4.3 Observe Metrics -- 11.5 Summary -- Reference -- 12 Extending Heron Scheduler -- 12.1 Scheduler SPI -- 12.1.1 ILauncher and IScheduler Work Together -- 12.1.2 ILauncher -- 12.1.3 IScheduler -- 12.2 Timeout Scheduler -- 12.2.1 Timeout Launcher -- 12.2.1.1 Prepare Container. 12.2.1.2 Launch by Service -- 12.2.1.3 Launch by Library -- 12.2.2 Timeout Scheduler -- 12.2.2.1 Abstract Parent Class -- 12.2.2.2 Service Mode -- 12.2.2.3 Library Mode -- 12.2.2.4 Service Mode Versus Library Mode -- 12.3 Summary -- 13 Heron Is Evolving -- 13.1 Dhalion and Health Manager -- 13.1.1 Dhalion -- 13.1.2 Health Manager -- 13.2 Deploy Mode (API Server) -- 13.3 Cloud-Native Heron -- 13.4 Summary -- Reference -- Index. |
| Record Nr. | UNINA-9910485028003321 |
Wu Huijun (Writer on cloud computing)
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Heron streaming : fundamentals, applications, operations, and insights / / Huijun Wu, Maosong Fu
| Heron streaming : fundamentals, applications, operations, and insights / / Huijun Wu, Maosong Fu |
| Autore | Wu Huijun (Writer on cloud computing) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (211 pages) : illustrations |
| Disciplina | 004.3 |
| Soggetto topico |
Information retrieval
Data mining Big data Information organization Recuperació de la informació Mineria de dades Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-60094-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Who This Book Is For -- How This Book Is Organized -- What You Need for This Book -- Typographical Conventions -- Acknowledgments -- Contents -- About the Authors -- Part I Heron Fundamentals -- 1 Stream Processing -- 1.1 Big Data Processing -- 1.1.1 Lambda Architecture -- 1.1.1.1 Batch Processing Layer -- 1.1.1.2 Stream Processing Layer -- 1.1.1.3 Serving Layer -- 1.1.2 Kappa Architecture -- 1.2 Big Data Stream Processing -- 1.3 From Apache Storm to Apache Heron (Incubating) -- 1.3.1 Motivation for Heron -- 1.3.2 Heron Design Goals -- 1.3.3 Join the Apache Heron (Incubating) Community -- 1.4 Stream Processing Tools -- 1.5 Summary -- References -- 2 Heron Basics -- 2.1 Topology Data Model -- 2.1.1 Topology -- 2.1.2 Spout -- 2.1.3 Bolt -- 2.1.4 Grouping -- 2.2 Heron Architecture and Components -- 2.2.1 Cluster-Level Components (Six Components) -- 2.2.1.1 Scheduler -- 2.2.1.2 State Manager -- 2.2.1.3 Uploader -- 2.2.1.4 Heron CLI -- 2.2.1.5 Heron Tracker -- 2.2.1.6 Heron UI -- 2.2.2 Topology-Level Components (Four Components) -- 2.2.2.1 Heron Instance -- 2.2.2.2 Stream Manager -- 2.2.2.3 Topology Master -- 2.2.2.4 Metrics Manager -- 2.3 Submission Process and Failure Handling -- 2.4 Submit the First Topology -- 2.4.1 Preparation -- 2.4.2 Install the Heron Client -- 2.4.3 Heron Example Topologies -- 2.4.4 Submit the Topology JAR File -- 2.4.5 Observe the Running Topology -- 2.5 Summary -- References -- 3 Study Heron Code -- 3.1 Code Languages -- 3.2 Requirements for Compiling -- 3.3 Prepare the Compiling Environment -- 3.4 Source Organization -- 3.4.1 Directory Organization -- 3.4.2 Bazel Perspective -- 3.5 Compile Heron -- 3.6 Examine Compiling Results -- 3.6.1 Examine the API -- 3.6.2 Examine Packages -- 3.7 Run Tests -- 3.7.1 Unit Test -- 3.7.2 Integration Test -- 3.8 Summary -- References.
Part II Write Heron Topologies -- 4 Migrate Storm Topology to Heron -- 4.1 Prepare the Storm Topology Code -- 4.1.1 Examine the Storm Topology Code -- 4.1.2 Examine the Storm Flux Code -- 4.2 Migrate the Storm Topology Code to a HeronTopology Project -- 4.2.1 Adjust the Topology Java Code -- 4.2.2 Adjust the Project File pom.xml -- 4.2.2.1 Add Dependency -- 4.2.2.2 Build with Dependencies -- 4.2.3 Compile the Topology JAR File -- 4.3 Migrate Storm Flux to Heron ECO -- 4.4 Summary -- References -- 5 Write Topology Code -- 5.1 Before Writing Code -- 5.1.1 Design Topology -- 5.1.2 Choose a Heron API -- 5.2 Write Topology in Java -- 5.2.1 Code the Topology -- 5.2.1.1 Code Main -- 5.2.1.2 Code Spout -- 5.2.1.3 Code Bolt -- 5.2.2 Understand Tuple Flow -- 5.2.2.1 How Tuple Is Constructed -- 5.2.2.2 How Tuple Is Routed -- 5.3 Write Topology in Python -- 5.3.1 Code Main -- 5.3.2 Code Spout -- 5.3.3 Code Bolt -- 5.3.4 Compile and Run -- 5.4 Summary -- Reference -- 6 Heron Topology Features -- 6.1 Delivery Semantics -- 6.1.1 At-Least-Once -- 6.1.2 Effectively-Once -- 6.1.2.1 Requirements for Effectively-Once -- 6.1.2.2 Exactly-Once Versus Effectively-Once -- 6.1.2.3 Stateful Topologies -- 6.1.2.4 Implement Effectively-Once -- 6.2 Windowing -- 6.2.1 Windowing Concepts -- 6.2.2 Windowing Example -- 6.3 Summary -- Reference -- 7 Heron Streamlet API -- 7.1 Streamlet API Concepts -- 7.1.1 Streamlets -- 7.1.2 Operations -- 7.2 Write a Processing Graph with the Java Streamlet API -- 7.2.1 Sources -- 7.2.2 Sinks -- 7.2.3 Transform: Filter, Map, FlatMap -- 7.2.4 Partitioning -- 7.2.5 Clone and Union -- 7.2.6 Reduce by Key and Window -- 7.2.7 Join -- 7.2.8 Configuration -- 7.3 Write a Processing Graph with the Python Streamlet API -- 7.3.1 Source Generator -- 7.3.2 Processing Graph Construction -- 7.4 Write a Processing Graph with the Scala Streamlet API. 7.4.1 Install sbt -- 7.4.2 Source Directory -- 7.4.3 Compose Processing Graph -- 7.4.4 Examine the JAR File -- 7.5 Summary -- References -- Part III Operate Heron Clusters -- 8 Manage a Topology -- 8.1 Install Heron Client -- 8.1.1 What Is Inside heron-core.tar.gz -- 8.1.2 YAML Configuration -- 8.2 Run Topology -- 8.2.1 Topology Life Cycle -- 8.2.2 Submit Topology -- 8.2.3 Observe the Topology Running Status -- 8.3 Explore the ``heron'' Command -- 8.3.1 Common Arguments and Optional Flags -- 8.3.2 Explore ``heron submit'' Options -- 8.3.3 Kill Topology -- 8.3.4 Activate and Deactivate Topology -- 8.3.5 Restart Topology -- 8.3.6 Update Topology -- 8.4 Summary -- References -- 9 Manage Multiple Topologies -- 9.1 Install Heron Tools -- 9.2 Heron Tracker -- 9.3 Heron UI -- 9.4 Heron Explorer -- 9.5 Summary -- Reference -- Part IV Heron Insights -- 10 Explore Heron -- 10.1 Heron Processes -- 10.1.1 Java Processes -- 10.1.2 C++ Processes -- 10.1.3 Python Processes -- 10.2 State Manager -- 10.3 Heron Scheduler -- 10.3.1 Three Plans: Logical, Packing, and Physical -- 10.3.2 Restart Dead Processes -- 10.4 Data Flow -- 10.4.1 Capture Packets -- 10.4.2 Communication Primitive -- 10.5 Metrics System -- 10.5.1 File Sink -- 10.5.2 MetricsCache Manager Sink and TopologyMaster Sink -- 10.6 Summary -- 11 Extending the Heron Metrics Sink -- 11.1 Time Series -- 11.2 Metrics Category -- 11.3 Customize a Metrics Sink -- 11.3.1 Metrics Sink SPI -- 11.3.2 Metrics Sink Configuration -- 11.4 MySQL Metrics Sink -- 11.4.1 Implement IMetricsSink -- 11.4.2 Configure the Metrics Sink -- 11.4.3 Observe Metrics -- 11.5 Summary -- Reference -- 12 Extending Heron Scheduler -- 12.1 Scheduler SPI -- 12.1.1 ILauncher and IScheduler Work Together -- 12.1.2 ILauncher -- 12.1.3 IScheduler -- 12.2 Timeout Scheduler -- 12.2.1 Timeout Launcher -- 12.2.1.1 Prepare Container. 12.2.1.2 Launch by Service -- 12.2.1.3 Launch by Library -- 12.2.2 Timeout Scheduler -- 12.2.2.1 Abstract Parent Class -- 12.2.2.2 Service Mode -- 12.2.2.3 Library Mode -- 12.2.2.4 Service Mode Versus Library Mode -- 12.3 Summary -- 13 Heron Is Evolving -- 13.1 Dhalion and Health Manager -- 13.1.1 Dhalion -- 13.1.2 Health Manager -- 13.2 Deploy Mode (API Server) -- 13.3 Cloud-Native Heron -- 13.4 Summary -- Reference -- Index. |
| Record Nr. | UNISA-996466544503316 |
|
Wu Huijun (Writer on cloud computing)
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information retrieval and natural language processing : a graph theory approach / / Sheetal S. Sonawane, Parikshit N. Mahalle and Archana S. Ghotkar
| Information retrieval and natural language processing : a graph theory approach / / Sheetal S. Sonawane, Parikshit N. Mahalle and Archana S. Ghotkar |
| Autore | Sonawane Sheetal S. |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (186 pages) |
| Disciplina | 025.04 |
| Collana | Studies in Big Data |
| Soggetto topico |
Information retrieval
Natural language processing (Computer science) Graph theory Recuperació de la informació Tractament del llenguatge natural (Informàtica) Teoria de grafs |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9994-1
981-16-9995-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743695603321 |
|
Sonawane Sheetal S.
|
||
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information retrieval and natural language processing : a graph theory approach / / Sheetal S. Sonawane, Parikshit N. Mahalle and Archana S. Ghotkar
| Information retrieval and natural language processing : a graph theory approach / / Sheetal S. Sonawane, Parikshit N. Mahalle and Archana S. Ghotkar |
| Autore | Sonawane Sheetal S. |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (186 pages) |
| Disciplina | 025.04 |
| Collana | Studies in Big Data |
| Soggetto topico |
Information retrieval
Natural language processing (Computer science) Graph theory Recuperació de la informació Tractament del llenguatge natural (Informàtica) Teoria de grafs |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-9994-1
981-16-9995-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996549469403316 |
|
Sonawane Sheetal S.
|
||
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Journal of internet services and applications
| Journal of internet services and applications |
| Pubbl/distr/stampa | Berlin, : Springer, 2010- |
| Descrizione fisica | 1 online resource |
| Altri autori (Persone) | BlairGordon <1959-> |
| Soggetto topico |
TCP/IP (Computer network protocol)
Internet Internet - Security measures Xarxes d'ordinadors Programari d'aplicació Recuperació de la informació |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 1869-0238 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
J internet serv appl
JISA |
| Record Nr. | UNISA-996210249203316 |
| Berlin, : Springer, 2010- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
