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ARM '19 : proceedings of the 2019 18th Workshop on Adaptive and Reflexive Middleware : December 9-13, 2019, Davis, CA, USA / / Association for Computing Machinery ; sponsored by ACM in cooperation with IFIP and Usenix
ARM '19 : proceedings of the 2019 18th Workshop on Adaptive and Reflexive Middleware : December 9-13, 2019, Davis, CA, USA / / Association for Computing Machinery ; sponsored by ACM in cooperation with IFIP and Usenix
Pubbl/distr/stampa New York : , : The Association for Computing Machinery, , 2019
Descrizione fisica 1 online resource (ii, 19 pages) : illustrations
Disciplina 005.713
Collana ACM international conference proceedings series
Soggetto topico Middleware
Self-adaptive software
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Committee -- Adaptive Mediation for Data Exchange in IoT Systems -- Service Resilience Framework for Enhanced End-to-End Service Quality -- AFIrM: An Adaptive Functional Middleware -- Author index.
Record Nr. UNINA-9910412111703321
New York : , : The Association for Computing Machinery, , 2019
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ARM 2015 : proceedings of the 14th Workshop on Adaptive and Reflective Middleware : collocated with ACM/IFIP/USENIX Middleware 2015 : December 8, 2015, Vancouver, Canada / / workshop co-chairs, Nikolaos Georgantas and Aniruddha Gokhale
ARM 2015 : proceedings of the 14th Workshop on Adaptive and Reflective Middleware : collocated with ACM/IFIP/USENIX Middleware 2015 : December 8, 2015, Vancouver, Canada / / workshop co-chairs, Nikolaos Georgantas and Aniruddha Gokhale
Pubbl/distr/stampa New York : , : ACM, , 2015
Descrizione fisica 1 online resource (55 pages)
Disciplina 005.713
Soggetto topico Middleware
Adaptive computing systems
ISBN 1-4503-3733-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Adaptive and Reflective Middleware 2015
Proceedings of the 14th International Workshop on Adaptive and Reflective Middleware
Record Nr. UNINA-9910376542903321
New York : , : ACM, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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ARM 2016 : the 15th Workshop on Adaptive and Reflective Middleware : colocated with ACM/IFIP/USENIX Middleware 2016, 12th-16th December 2016, Trento, Italy / / sponsors, Association for Computing Machinery, IFIP, USENIX the Advanced Computing System Association
ARM 2016 : the 15th Workshop on Adaptive and Reflective Middleware : colocated with ACM/IFIP/USENIX Middleware 2016, 12th-16th December 2016, Trento, Italy / / sponsors, Association for Computing Machinery, IFIP, USENIX the Advanced Computing System Association
Pubbl/distr/stampa New York : , : ACM, , 2016
Descrizione fisica 1 online resource (40 pages)
Disciplina 005.713
Soggetto topico Middleware
Adaptive computing systems
ISBN 1-4503-4662-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Adaptive and Reflective Middleware 2016
Proceedings of the 15th International Workshop on Adaptive and Reflective Middleware
Record Nr. UNINA-9910376428803321
New York : , : ACM, , 2016
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Dns and bind / Paul Albitz, Cricket Liu
Dns and bind / Paul Albitz, Cricket Liu
Autore Albitz, Paul
Edizione [3rd ed.]
Pubbl/distr/stampa Sebastopol (Ca.) : O' Reilly, c1998
Descrizione fisica xvii, 482 p. : ill. ; 24 cm
Disciplina 005.713
Altri autori (Persone) Liu, Cricket
Soggetto non controllato Dati nei sistemi di elaborazione - Programmi
Domin name system - Internet
ISBN 1-56592-512-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990001484000403321
Albitz, Paul  
Sebastopol (Ca.) : O' Reilly, c1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Eudora : la posta elettronica via Internet / Luca Baglivo
Eudora : la posta elettronica via Internet / Luca Baglivo
Autore Baglivo, Luca <1966- >
Pubbl/distr/stampa Milano : Apogeo, 1995
Descrizione fisica VIII, 179 p. ; 24 cm
Disciplina 005.713
Collana Telematica
Soggetto non controllato Elaboratori elettroniciProgramma EudoraPosta elettronica
ISBN 88-7303-140-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNIPARTHENOPE-000019236
Baglivo, Luca <1966- >  
Milano : Apogeo, 1995
Materiale a stampa
Lo trovi qui: Univ. Parthenope
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Guida all'automazione dell'amministrazione di microsoft windows server 2003 / Don Jones
Guida all'automazione dell'amministrazione di microsoft windows server 2003 / Don Jones
Autore Jones, Don
Pubbl/distr/stampa [Segrate] : Mondadori informatica, 2006
Descrizione fisica XXXVIII, 429 p. ; 24 cm + Cd Rom
Disciplina 005.713
Collana Resource kit
Soggetto non controllato Sistema operativo
Windows sever 2003
ISBN 88-04-54214-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNIPARTHENOPE-000007718
Jones, Don  
[Segrate] : Mondadori informatica, 2006
Materiale a stampa
Lo trovi qui: Univ. Parthenope
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How to cheat at managing Windows small business server 2003 [electronic resource] / Susan Snedaker
How to cheat at managing Windows small business server 2003 [electronic resource] / Susan Snedaker
Autore Snedaker, Susan
Pubbl/distr/stampa Rockland, MA : Syngress
Descrizione fisica xxiv, 471 p. : ill. ; 24 cm.
Disciplina 005.713
Soggetto topico Client/server computing
Soggetto genere / forma Electronic books.
ISBN 9781932266801
1932266801
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Installing Windows Small Business Server 2003 Upgrading to Windows Small Business Server 2003 Securing Windows Small Business Server 2003 Connecting to the Internet Configuring Remote Access Activating Your Server and Adding Client Licenses Adding a Printer and Configuring a Fax Adding Users and Computers Managing Messaging in Windows Small Business Server 2003 Configuring Outlook Web Access Configuring Windows SharePoint Services Managing Client Computers Managing Users and Groups Managing Remote Web Workplace Configuring Monitoring and Alerts Protecting Against Data Loss Identifying Troubleshooting Tools.
Record Nr. UNISALENTO-991003260479707536
Snedaker, Susan  
Rockland, MA : Syngress
Risorse elettroniche
Lo trovi qui: Univ. del Salento
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Integrating UNIX and PC network operating systems : NetWare, AppleTalk and LAN manageron UNIX / William Lund
Integrating UNIX and PC network operating systems : NetWare, AppleTalk and LAN manageron UNIX / William Lund
Autore Lund, William
Pubbl/distr/stampa Upper Sadle River (N.J.) : Prentice Hall, copyr. 1996
Disciplina 005.713
Soggetto non controllato reti di elaboratori
unix (sistema operativo)
ISBN 0-13-207374-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990000158860203316
Lund, William  
Upper Sadle River (N.J.) : Prentice Hall, copyr. 1996
Materiale a stampa
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Kafka Troubleshooting in Production : Stabilizing Kafka Clusters in the Cloud and On-Premises
Kafka Troubleshooting in Production : Stabilizing Kafka Clusters in the Cloud and On-Premises
Autore Eldor Elad
Edizione [1st ed.]
Pubbl/distr/stampa Berkeley, CA : , : Apress L. P., , 2023
Descrizione fisica 1 online resource (229 pages)
Disciplina 005.713
Soggetto topico Big data
Cloud computing
ISBN 1-4842-9490-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Storage Usage in Kafka: Challenges, Strategies, and Best Practices -- How Kafka Runs Out of Disk Space -- A Retention Policy Can Cause Data Loss -- Configuring a Retention Policy for Kafka Topics -- Managing Consumer Lag and Preventing Data Loss -- Handling Bursty Data Influx from Producers -- Balancing Consumer Throttling and Avoiding Unintended Lag -- Understanding Daily Traffic Variations and Their Impact on Data Retention -- Ensuring Batch Duration Compliance with Topic Retention to Avoid Data Loss -- Adding Storage to Kafka Clusters -- When the Cluster Is On-Prem -- Scaling Up -- Scaling Out -- When the Cluster Is in the Cloud -- EBS Disks -- NVME Disks (Ephemeral Disks) -- Strategies and Considerations for Extended Retention in Kafka Clusters -- Calculating Storage Capacity Based on Time-Based Retention -- Retention Monitoring -- Data Skew in Partitions -- Message Rate Into Topic -- Don't Write to the / Mount Point -- Summary -- Chapter 2: Strategies for Aggregation, Data Cardinality, and Batching -- Balancing Message Distribution and Aggregation for Optimal Kafka Performance -- Tuning Parameters to Increase Throughput and Reduce Latency -- Optimizing Producer and Broker Performance: The Impact of Tuning linger.ms and batch.size in Kafka -- Understanding Compression Rate -- The Effect of Data Cardinality on Producers, Consumers, and Brokers -- Defining Data Cardinality -- Effects of High Data Cardinality -- Reducing Cardinality Level and Distribution -- Duplicating Data to Reduce Latency -- Summary -- Chapter 3: Understanding and Addressing Partition Skew in Kafka -- Skew of Partition Leaders vs. Skew of Partition Followers -- Potential Problems with Brokers That Host Many Partition Leaders.
Message Rate (or Incoming Bytes Rate) -- Number of Consumers Consuming the Topic -- Number of Producers Producing to the Topic -- Follower (Replica) Skew in the Broker -- Number of In-Sync Replicas in the Broker -- Checking for an Imbalance of Partition Leaders -- Reassigning Partitions to Achieve an Even Distribution -- Data Distribution Among Disks -- Summary -- Chapter 4: Dealing with Skewed and Lost Leaders -- When Partitions Lose Their Leadership -- ZooKeeper -- The Network Interface Card (NIC) -- Should Leader Skew Always Be Solved? -- When There Is High Traffic -- When There Is a Large Number of Consumers/Producers -- Understanding Leader Skew -- Summary -- Chapter 5: CPU Saturation in Kafka: Causes, Consequences, and Solutions -- CPU Saturation -- CPU Usage Types -- Causes of High CPU User Times -- Causes of High CPU System Times -- Example of Kafka Brokers with High CPU %us and %sy -- Causes of High CPU Wait Times -- Causes of High CPU System Interrupt Times -- The Effect of Compacted Topics with High Retention on Disk and CPU Use -- What Is Log Compaction? -- Real Production Issues Due to Log Compaction -- The Number of Consumers per Topic vs. CPU Use -- Summary -- Chapter 6: RAM Allocation in Kafka Clusters: Performance, Stability, and Optimization Strategies -- Adding RAM to a Kafka Cluster -- The Strategic Role of RAM Over CPU and Disks -- Cloud vs. On-Prem RAM Expansion: Considerations and Constraints -- Adding RAM to the Cloud -- Adding RAM to On-Prem Kafka Clusters -- Enhancing Kafka's Performance: The Benefits of Increasing Broker RAM -- Performance Boost -- Disk I/O Reduction -- Throughput Enhancement -- Latency Reduction -- Understanding the Linux Page Cache -- Page Cache in Kafka: Accelerating Writes and Reads -- Balancing Performance and Reliability: Kafka's Page Cache Utilization.
Monitoring Page Cache Usage Using the Cachestat Tool -- Lack of RAM and its Effect on Disks -- Optimize Kafka Disks When the Cluster Lacks RAM -- Use SSDs Instead of HDDs -- Distribute Logs Across Disks -- Tune OS Disk Scheduling Algorithm -- Adjust Kafka's Disk Flush Policies -- Enable Log Compression -- Enable OS Page Cache -- Monitor Disk Usage and I/O -- A Lack of RAM Can Cause Disks to Reach IOPS Saturation -- Optimize Kafka in Terms of RAM Allocation -- Set vm.swappiness to the Minimum Possible Value -- Increase the File Descriptor Limits -- Increase the Limit of Memory-Mapped Files -- GIVE at Least 32GB RAM to Your Kafka Brokers -- Monitor Garbage Collection Times Closely -- Tuning JVM Options -- Using Appropriate Instance Types When Deploying on a Cloud Platform -- Balancing Topics and Partitions Across Brokers -- Dealing with Garbage Collection (GC) and Out-Of-Memory (OOM) -- Latency Spikes -- Resource Utilization -- System Stability -- Impact on ZooKeeper Heartbeat -- Measuring Kafka Memory Usage -- The Crucial Role of RAM: Lessons from a Non-Kafka Cluster -- Summary -- Chapter 7: Disk I/O Overload in Kafka: Diagnosing and Overcoming Challenges -- Disk Performance Metrics -- Detecting Whether Disks Cause Latency in Kafka Brokers, Consumers, or Producers -- How Kafka Reads and Writes to the Disks -- Writes -- Reads -- Disk Performance Detection -- Data Skew in the Scope of a Single Broker -- Data Skew in the Scope of a Kafka Cluster -- Consumer Lag from a Specific Broker -- Slow (Faulty) Disk -- Real Production Issue: Detecting a Faulty Broker Using Disk Performance Metrics -- Discussion -- The Effect of Too Many disk.io Threads -- Discussion -- Looking at Disk Performance the Whole Time vs. During Peak Time Only -- Discussion -- The Effect of disk.io Threads on Broker, Producer, and Consumer Performance -- Request Queue Size.
Produce Latency -- Number of JVM Threads -- Number of Context Switches -- CPU User Time, System Time, and Normalized Load Average -- Discussion -- Summary -- Chapter 8: Disk Configuration: RAID 10 vs. JBOD -- RAID 10 and JBOD Terminology -- RAID 0 (aka Stripe Set) -- RAID 1 (aka Mirror Set) -- RAID 1+0 (aka RAID 10) -- Comparing RAID 10 and JBOD -- Disk Failure -- Data Skew -- Storage Use -- Pros and Cons of RAID 10 and JBOD -- Performance of Write Operations -- Storage Usage -- Disk Failure Tolerance -- Considering the Maintenance Burden of Disk Failure in On-Premises Clusters -- Disk Health Monitoring -- Frequency of Replacing Disks -- Kafka Availability During Disk Replacement -- Balancing the Data Between the Disks in the Broker -- JBOD -- RAID 10 -- Managing Disk Health in Kafka Clusters with JBOD Configuration -- Summary -- Chapter 9: A Deep Dive Into Producer Monitoring -- Producer Metrics -- Network I/O Rate Metric -- When Network I/O Rate Is High -- When Network I/O Rate Is Low -- Importance of the Network I/O Rate Metric -- Record Queue Time Metric -- When Record Queue Time Is High -- When Record Queue Time Is Low -- Mitigating a High Record Queue Time -- Importance of the Record Queue Time Metric -- Output Bytes Metric -- When Output Bytes Is High -- When Output Bytes Is Low -- Mitigating the Output Bytes Value -- Importance of the Output Bytes Metric -- Input Bytes Metric -- The Difference Between Output Bytes and Input Bytes -- Average Batch Size Metric -- When Average Batch Size Is High -- When Average Batch Size Is Low -- Mitigating the Average Batch Size Metric -- Importance of the Average Batch Size Metric -- Buffer Available Bytes Metric -- When Buffer Available Bytes Is High -- When Buffer Available Bytes Is Low -- Mitigating the Buffer Available Bytes Metric -- Importance of the Buffer Available Bytes Metric.
Request Latency (Avg/Max) Metrics -- When Request Latency Is High -- When Request Latency Is Low -- Mitigating the Request Latency Metric -- Importance of the Request Latency Metric -- Understanding the Impact of Multiple Producers and Consumers on the Kafka Cluster -- Compression Rate: A Special Kind of Producer Metric -- Configuring Compression on the Producer and Broker Levels -- Compression Rate -- When Compression Rate Is High -- When Compression Rate Is Low -- Mitigating Compression Rate -- Importance of the Compression Rate Metric -- Summary -- Chapter 10: A Deep Dive Into Consumer Monitoring -- Consumer Metrics -- Consumer Lag Metrics -- When the Consumer Lag Metric Is High -- When the Consumer Lag Metric Is Low -- Mitigating the Consumer Lag Metric -- Importance of the Consumer Lag Metric -- Fetch Request Rate Metric -- When the Fetch Request Rate Is High -- When the Fetch Request Rate Is Low -- Mitigating the Fetch Request Rate -- Importance of the Fetch Request Rate -- Fetch Request Size (Avg/Max) Metrics -- When the Fetch Request Size Is High -- When the Fetch Request Size Is Low -- Mitigating the Fetch Request Size -- Importance of the Fetch Request Size Metrics -- Consumer I/O Wait Ratio Metric -- When the Consumer I/O Wait Ratio Is High -- When the Consumer I/O Wait Ratio Is Low -- Mitigating the Consumer I/O Wait Ratio -- Importance of the Consumer I/O Wait Ratio -- Records per Request Avg Metric -- When the Records per Request Metric Is High -- When the Records per Request Metric Is Low -- Mitigating the Records per Request Metric -- Importance of the Records per Request Metric -- Fetch Latency Avg/Max Metrics -- When the Fetch Latency Metrics Are High -- When the Fetch Latency Metrics Are Low -- Mitigating the Fetch Latency Metrics -- Importance of the Fetch Latency Metrics -- Consumer Request Rate Metric.
When the Consumer Request Rate Metric Is High.
Record Nr. UNINA-9910767517103321
Eldor Elad  
Berkeley, CA : , : Apress L. P., , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Learning Microsoft Windows Server 2012 dynamic access control / / Jochen Nickel
Learning Microsoft Windows Server 2012 dynamic access control / / Jochen Nickel
Autore Nickel Jochen
Edizione [1st ed.]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2013
Descrizione fisica 1 online resource (146 p.)
Disciplina 005.713
Collana Professional expertise distilled
Soggetto topico Client/server computing
ISBN 1-78217-819-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting in Touch with Dynamic Access Control; Business needs, purpose, and benefits; Inside the architecture of DAC; Building blocks; Infrastructure requirements; User and device claims; Expression-based access rules; Classification enhancements; Central Access and Audit policies; Access-denied assistance; Building your smart test lab; Dynamic Access Control configuration; Summary; Chapter 2: Understanding the Claims-based Access Model; Understanding claims
Claims support in Windows 8/2012 and newerKerberos authentication enhancements; Kerberos Armoring and Compound Authentication; Kerberos Armoring; Compound Authentication; Manage Claims and Resource properties; Naming conventions; Authoritative system and data validation; Administrative delegation; Resource properties; Usage of Claim Transformation and Filtering; Groups or DAC, let's extend our first solution; Summary; Chapter 3: Classification and the File Classification Infrastructure; Map the business and security requirements
Different types and methods for tagging and classifying informationManual Classification; Using the Windows File Classification Infrastructure; Data Classification Toolkit 2012; The Data Classification Toolkit wizard; The Data Classification Toolkit Claims wizard; Designing and configuring classifications; Summary; Chapter 4: Access Control in Action; Defining expression-based Access policies; Deploying Central Access Policies; Protecting legal department information with Central Access Policies; Identifying a Group Policy and registry settings; Configuring FCI and Central Access Policies
Building a staging environment using proposed permissionsApplying Central Access Policies; Access Denied Remediation; Understanding the ADR process; ADR - a step-by-step guide; Summary; Chapter 5: Auditing a DAC Solution; Auditing with conditional expressions; Claims-based Global Object Access Auditing; Monitoring your Dynamic Access Control scenarios; Configure an effective auditing solution; Policy considerations; Extending the solution with System Center; Summary; Chapter 6: Integrate Rights Management Protection; Windows 2012 AD RMS; Installing Rights Management Services
Rights Protected FolderClassification-based encryption; Protect your information with a combination; Rights management template; Encryption rule; Information access; Build the RPF example in your environment; File retention; AD RMS in a SAP environment; Summary; Chapter 7: Extending the DAC Base Solution; Keeping Active Directory attributes up-to-date; Third-party tools for Dynamic Access Control; Classification; Central Access Policy; RMS Protection; Auditing; Using DAC in SharePoint; BYOD - using Dynamic Access Control; Summary; Chapter 8: Automating the Solution
Identifying the complete solution
Record Nr. UNINA-9910827445203321
Nickel Jochen  
Birmingham : , : Packt Publishing, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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