This document summarizes key aspects of distributed file systems (DFS), including their structure, naming and transparency, remote file access using caching, stateful versus stateless service models, file replication, and examples like the Sun Network File System (NFS). A DFS manages dispersed storage across a network, using caching to improve performance of remote file access and dealing with issues of consistency between cached and server copies. NFS provides a specific implementation of a DFS that integrates remote directories transparently and uses stateless remote procedure calls along with caching for efficiency.
With compelling new features in SUSE Linux Enterprise Server—and the stellar workgroup services found in Novell Open Enterprise Server 2—the benefits of moving your Novell GroupWise environment to Linux are more readily apparent than ever. This session will cover how you can use available Novell tools to move a GroupWise system to the Linux platform. In addition to tools and utilities, we'll share practical tips, tricks and demonstrations.
This document summarizes new file system and storage features in Red Hat Enterprise Linux (RHEL) 6 and 7. It discusses enhancements to logical volume management (LVM) such as thin provisioning and snapshots. It also covers expanded file system options like XFS, improvements to NFS including parallel NFS, and general performance enhancements.
Red Hat Storage - Introduction to GlusterFSGlusterFS
Red Hat Storage introduces GlusterFS, an open source scale-out file system. GlusterFS provides scalable, affordable storage using commodity hardware. It allows linearly scaling performance and capacity by adding servers. GlusterFS has a global namespace and supports various protocols, enabling flexible deployment across private and public clouds. Many enterprises rely on GlusterFS for applications, virtual machines, Hadoop, and hybrid cloud solutions.
As time goes on more OSes are getting Dom0 support, so there's a growing need to provide a platform independent set of tools from which to operate Xen. This talk will expose the different mechanisms used on NetBSD that diverge from the Linux approach, and how Xen is improving its userspace tools to provide a more platform independent support.
The talk also touches upon various features that BSD provides or plans to provide with Xen, thus presenting a coherent roadmap view of where we've come from, and what lies ahead.
What's in this talk:
Xen and BSD
Status updates from the world of BSD
Ecosystem/userbase
The document discusses scaling tier-based applications using Space Based Architecture (SBA). SBA uses a common data and processing grid to virtualize tiers, enabling applications to scale out processing across commodity hardware. This approach parallelizes transactions, reduces serialization overhead between tiers, and allows dynamic scalability through automated deployment of services on a grid. The session will provide examples of how financial and telecom applications achieve scalability using SBA.
Spectrum Scale Unified File and Object with WAN CachingSandeep Patil
This document provides an overview of IBM Spectrum Scale's Active File Management (AFM) capabilities and use cases. AFM uses a home-and-cache model to cache data from a home site at local clusters for low-latency access. It expands GPFS' global namespace across geographical distances and provides automated namespace management. The document discusses AFM caching basics, global sharing, use cases like content distribution and disaster recovery. It also provides details on Spectrum Scale's protocol support, unified file and object access, using AFM with object storage, and configuration.
Operating System : Ch17 distributed file systemsSyaiful Ahdan
This document discusses distributed file systems (DFS), which allow files to be shared across multiple machines. It covers key topics in DFS including naming and transparency, remote file access using caching, consistency issues, and a comparison of caching versus stateful remote file access approaches. The goal of a DFS is to manage dispersed storage across machines while providing a unified file system interface to hide the distributed nature from clients.
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
With compelling new features in SUSE Linux Enterprise Server—and the stellar workgroup services found in Novell Open Enterprise Server 2—the benefits of moving your Novell GroupWise environment to Linux are more readily apparent than ever. This session will cover how you can use available Novell tools to move a GroupWise system to the Linux platform. In addition to tools and utilities, we'll share practical tips, tricks and demonstrations.
This document summarizes new file system and storage features in Red Hat Enterprise Linux (RHEL) 6 and 7. It discusses enhancements to logical volume management (LVM) such as thin provisioning and snapshots. It also covers expanded file system options like XFS, improvements to NFS including parallel NFS, and general performance enhancements.
Red Hat Storage - Introduction to GlusterFSGlusterFS
Red Hat Storage introduces GlusterFS, an open source scale-out file system. GlusterFS provides scalable, affordable storage using commodity hardware. It allows linearly scaling performance and capacity by adding servers. GlusterFS has a global namespace and supports various protocols, enabling flexible deployment across private and public clouds. Many enterprises rely on GlusterFS for applications, virtual machines, Hadoop, and hybrid cloud solutions.
As time goes on more OSes are getting Dom0 support, so there's a growing need to provide a platform independent set of tools from which to operate Xen. This talk will expose the different mechanisms used on NetBSD that diverge from the Linux approach, and how Xen is improving its userspace tools to provide a more platform independent support.
The talk also touches upon various features that BSD provides or plans to provide with Xen, thus presenting a coherent roadmap view of where we've come from, and what lies ahead.
What's in this talk:
Xen and BSD
Status updates from the world of BSD
Ecosystem/userbase
The document discusses scaling tier-based applications using Space Based Architecture (SBA). SBA uses a common data and processing grid to virtualize tiers, enabling applications to scale out processing across commodity hardware. This approach parallelizes transactions, reduces serialization overhead between tiers, and allows dynamic scalability through automated deployment of services on a grid. The session will provide examples of how financial and telecom applications achieve scalability using SBA.
Spectrum Scale Unified File and Object with WAN CachingSandeep Patil
This document provides an overview of IBM Spectrum Scale's Active File Management (AFM) capabilities and use cases. AFM uses a home-and-cache model to cache data from a home site at local clusters for low-latency access. It expands GPFS' global namespace across geographical distances and provides automated namespace management. The document discusses AFM caching basics, global sharing, use cases like content distribution and disaster recovery. It also provides details on Spectrum Scale's protocol support, unified file and object access, using AFM with object storage, and configuration.
Operating System : Ch17 distributed file systemsSyaiful Ahdan
This document discusses distributed file systems (DFS), which allow files to be shared across multiple machines. It covers key topics in DFS including naming and transparency, remote file access using caching, consistency issues, and a comparison of caching versus stateful remote file access approaches. The goal of a DFS is to manage dispersed storage across machines while providing a unified file system interface to hide the distributed nature from clients.
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
XenServer uses a control domain/Dom0 to manage virtual machines running on DomUs. It utilizes a Linux kernel with Intel-VT or AMD-V virtualization extensions. The hypervisor allows virtual machines to access physical resources like CPU, memory, network and storage. Networking and storage are virtualized using technologies like bonding, LVM, NFS and iSCSI. Performance analysis tools like iperf and hdparm can help optimize network and storage I/O.
Dustin Black - Red Hat Storage Server Administration Deep DiveGluster.org
Dustin L. Black will give a live demo on administering Red Hat Storage Server from 6-7pm. The session will provide an overview of Red Hat Storage technology including GlusterFS, use cases, architecture, and functionality like volumes, layered functionality, asynchronous replication and data access methods. It will also demonstrate these concepts in a live demo.
NonStop Hadoop - Applying the PaxosFamily of Protocols to make Critical Hadoo...DataWorks Summit
This document discusses using Paxos and the WANdisco DConE coordination engine to provide high availability for Hadoop services like HDFS and HBase. It provides background on WANdisco and describes how Paxos works to achieve consensus across replicated servers. The DConE innovations beyond Paxos allow for features like concurrent proposals, dynamic reconfiguration, and self-healing. The document then explains how DConE can be used to replicate the HDFS namespace across multiple consensus nodes and replicate HBase region servers. This provides active-active replication and eliminates single points of failure for critical Hadoop services.
IBM SONAS and the Cloud Storage TaxonomyTony Pearson
This document discusses IBM's Scale Out Network Attached Storage (SONAS) solution. SONAS provides a global namespace and can scale to support large amounts of unstructured file data across various cloud environments. The document outlines how SONAS utilizes IBM's General Parallel File System (GPFS) and provides features such as high performance, data replication, backups, antivirus integration, and information lifecycle management through migration to tape storage.
The document discusses Nexenta Storage in the Cloud and its key features and benefits for cloud storage. It summarizes that NexentaStor is a software-based unified storage appliance that runs on standard hardware and offers features like compression, thin provisioning, deduplication, high availability and end-to-end data integrity. Several case studies are presented showing how NexentaStor has provided cost-effective cloud storage and management solutions for large companies moving to the public cloud.
Introducing IBM Spectrum Scale 4.2 and Elastic Storage Server 3.5Doug O'Flaherty
The document discusses IBM Spectrum Scale, a software-defined storage product. It provides a unified file and object storage system with integrated analytics support. New features in versions 4.2 and 3.5 include reducing costs through compression and quality of service policies, accelerating analytics with native HDFS support, and simplifying deployment with new graphical user interfaces.
Gluster for Geeks: Performance Tuning Tips & TricksGlusterFS
This document summarizes a webinar on performance tuning tips and tricks for GlusterFS. The webinar covered planning cluster hardware configuration to meet performance requirements, choosing the correct volume type for workloads, key tuning parameters, benchmarking techniques, and the top 5 causes of performance issues. The webinar provided guidance on optimizing GlusterFS performance through hardware sizing, configuration, implementation best practices, and tuning.
HDFS Futures: NameNode Federation for Improved Efficiency and ScalabilityHortonworks
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
Defrag.NSF+ is a Domino-specific database defragmentation tool that runs as a Domino server task. It intelligently auto-switches between file-level and volume-level defragmentation. Key features include automatic scheduling and tagging of databases for defragmentation, analyzing and reducing database fragmentation, and automated maintenance of system databases. Regular defragmentation with Defrag.NSF+ can significantly speed up backup times and improve database performance.
Gluster is an open-source distributed scale-out storage system. It uses commodity hardware and has no centralized metadata server. Key concepts include bricks (storage units on servers), volumes (logical collections of bricks), and a trusted storage pool of nodes. Main volume types are distributed, replicated, distributed replicated, and striped. To set up Gluster, install packages, start services, create a storage pool, make volumes, and mount them on clients.
Cloud Storage Adoption, Practice, and DeploymentGlusterFS
In this webinar, leading storage analyst firm Storage Strategies NOW, will discuss the findings from their comprehensive outlook report on the state of the cloud storage market and storage services that are layered on top of it. We will review: the definition of cloud storage, requirements, deployment, the market and its trends, API’s, cloud computing initiatives, best practices and infrastructure providers. Tom Trainer, Director of Product Marketing at Gluster, will provide an overview of Gluster’s storage products along with case studies demonstrating the strategic deployment of Gluster storage in both the public and private cloud.
Domino Server Health - Monitoring and ManagingGabriella Davis
This document provides information on monitoring and managing Domino server health. It discusses analyzing and maintaining Domino server logs, using log filters, and analyzing log results. It also covers monitoring message tracking, mail probes, statistics, events, activity trends, and configuring the New Relic reporting tool. The document discusses database maintenance tasks like compacting and fixing up databases. It also discusses using the Domino Configuration Tuner tool and leveraging cluster symmetry and automatic database repairs.
Gluster fs tutorial part 2 gluster and big data- gluster for devs and sys ...Tommy Lee
This document provides an overview and summary of the Gluster distributed file system for system administrators. It begins with introductions and defines key Gluster concepts and components. It then discusses how Gluster provides scaling and redundancy through various volume types like distributed, replicated, and erasure coded volumes. The document outlines how data can be accessed using native Gluster clients or NFS/SMB. It also covers general Gluster administration tasks and capabilities like profiling and geo-replication.
Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...xKinAnx
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Revisiting CephFS MDS and mClock QoS SchedulerYongseok Oh
This presents the CephFS performance scalability and evaluation results. Specifically, it addresses some technical issues such as multi core scalability, cache size, static pinning, recovery, and QoS.
The document discusses several distributed file systems including NFS, AFS, and CODA. NFS uses a stateless design with UDP and allows clients to access remote files transparently like local files. AFS uses whole file caching at clients and call backs to ensure cache coherence. CODA extends AFS to support disconnected operation and user mobility through caching and logging updates locally when disconnected.
Personal storage to enterprise storage system journeySoumen Sarkar
A brief journey through storage wonderland. Notes are not visible when you view in slide share. However they would be visible when the slides are viewed in powerpoint [you have to download the slides for that]
This document outlines the potential programming for a development site, dividing it into 8 sections - Entertainment/Stage, Gaming, Visitors Center, Main Public Entrance, Commercial spaces, Greenspace/Plaza, and Waterfront/Docking. It describes what could be included in each section, such as a flexible theater space, outdoor gaming areas, retail shops, dining, public art, and a boardwalk connecting to the waterfront. The overall goal is to create an exciting development that enhances connections between neighborhoods and amenities in Cleveland.
Boris Akunin is a pen name of Grigory Chkhartishvili, a Russian author known for his historical mystery novels. Some of his most famous works are the Erast Fandorin series set in 19th century Russia which follow the adventures of detective Erast Fandorin. Akunin has received several awards for his writing including being named Russian Writer of the Year in 2000. Erast Fandorin is a fictional Russian detective who unravels mysteries in novels that have become popular in Russia, rivaling works like Lord of the Rings. The novels depict mysteries and intrigue set against important historical events and periods in 19th century Russian and world history.
XenServer uses a control domain/Dom0 to manage virtual machines running on DomUs. It utilizes a Linux kernel with Intel-VT or AMD-V virtualization extensions. The hypervisor allows virtual machines to access physical resources like CPU, memory, network and storage. Networking and storage are virtualized using technologies like bonding, LVM, NFS and iSCSI. Performance analysis tools like iperf and hdparm can help optimize network and storage I/O.
Dustin Black - Red Hat Storage Server Administration Deep DiveGluster.org
Dustin L. Black will give a live demo on administering Red Hat Storage Server from 6-7pm. The session will provide an overview of Red Hat Storage technology including GlusterFS, use cases, architecture, and functionality like volumes, layered functionality, asynchronous replication and data access methods. It will also demonstrate these concepts in a live demo.
NonStop Hadoop - Applying the PaxosFamily of Protocols to make Critical Hadoo...DataWorks Summit
This document discusses using Paxos and the WANdisco DConE coordination engine to provide high availability for Hadoop services like HDFS and HBase. It provides background on WANdisco and describes how Paxos works to achieve consensus across replicated servers. The DConE innovations beyond Paxos allow for features like concurrent proposals, dynamic reconfiguration, and self-healing. The document then explains how DConE can be used to replicate the HDFS namespace across multiple consensus nodes and replicate HBase region servers. This provides active-active replication and eliminates single points of failure for critical Hadoop services.
IBM SONAS and the Cloud Storage TaxonomyTony Pearson
This document discusses IBM's Scale Out Network Attached Storage (SONAS) solution. SONAS provides a global namespace and can scale to support large amounts of unstructured file data across various cloud environments. The document outlines how SONAS utilizes IBM's General Parallel File System (GPFS) and provides features such as high performance, data replication, backups, antivirus integration, and information lifecycle management through migration to tape storage.
The document discusses Nexenta Storage in the Cloud and its key features and benefits for cloud storage. It summarizes that NexentaStor is a software-based unified storage appliance that runs on standard hardware and offers features like compression, thin provisioning, deduplication, high availability and end-to-end data integrity. Several case studies are presented showing how NexentaStor has provided cost-effective cloud storage and management solutions for large companies moving to the public cloud.
Introducing IBM Spectrum Scale 4.2 and Elastic Storage Server 3.5Doug O'Flaherty
The document discusses IBM Spectrum Scale, a software-defined storage product. It provides a unified file and object storage system with integrated analytics support. New features in versions 4.2 and 3.5 include reducing costs through compression and quality of service policies, accelerating analytics with native HDFS support, and simplifying deployment with new graphical user interfaces.
Gluster for Geeks: Performance Tuning Tips & TricksGlusterFS
This document summarizes a webinar on performance tuning tips and tricks for GlusterFS. The webinar covered planning cluster hardware configuration to meet performance requirements, choosing the correct volume type for workloads, key tuning parameters, benchmarking techniques, and the top 5 causes of performance issues. The webinar provided guidance on optimizing GlusterFS performance through hardware sizing, configuration, implementation best practices, and tuning.
HDFS Futures: NameNode Federation for Improved Efficiency and ScalabilityHortonworks
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
Defrag.NSF+ is a Domino-specific database defragmentation tool that runs as a Domino server task. It intelligently auto-switches between file-level and volume-level defragmentation. Key features include automatic scheduling and tagging of databases for defragmentation, analyzing and reducing database fragmentation, and automated maintenance of system databases. Regular defragmentation with Defrag.NSF+ can significantly speed up backup times and improve database performance.
Gluster is an open-source distributed scale-out storage system. It uses commodity hardware and has no centralized metadata server. Key concepts include bricks (storage units on servers), volumes (logical collections of bricks), and a trusted storage pool of nodes. Main volume types are distributed, replicated, distributed replicated, and striped. To set up Gluster, install packages, start services, create a storage pool, make volumes, and mount them on clients.
Cloud Storage Adoption, Practice, and DeploymentGlusterFS
In this webinar, leading storage analyst firm Storage Strategies NOW, will discuss the findings from their comprehensive outlook report on the state of the cloud storage market and storage services that are layered on top of it. We will review: the definition of cloud storage, requirements, deployment, the market and its trends, API’s, cloud computing initiatives, best practices and infrastructure providers. Tom Trainer, Director of Product Marketing at Gluster, will provide an overview of Gluster’s storage products along with case studies demonstrating the strategic deployment of Gluster storage in both the public and private cloud.
Domino Server Health - Monitoring and ManagingGabriella Davis
This document provides information on monitoring and managing Domino server health. It discusses analyzing and maintaining Domino server logs, using log filters, and analyzing log results. It also covers monitoring message tracking, mail probes, statistics, events, activity trends, and configuring the New Relic reporting tool. The document discusses database maintenance tasks like compacting and fixing up databases. It also discusses using the Domino Configuration Tuner tool and leveraging cluster symmetry and automatic database repairs.
Gluster fs tutorial part 2 gluster and big data- gluster for devs and sys ...Tommy Lee
This document provides an overview and summary of the Gluster distributed file system for system administrators. It begins with introductions and defines key Gluster concepts and components. It then discusses how Gluster provides scaling and redundancy through various volume types like distributed, replicated, and erasure coded volumes. The document outlines how data can be accessed using native Gluster clients or NFS/SMB. It also covers general Gluster administration tasks and capabilities like profiling and geo-replication.
Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...xKinAnx
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Revisiting CephFS MDS and mClock QoS SchedulerYongseok Oh
This presents the CephFS performance scalability and evaluation results. Specifically, it addresses some technical issues such as multi core scalability, cache size, static pinning, recovery, and QoS.
The document discusses several distributed file systems including NFS, AFS, and CODA. NFS uses a stateless design with UDP and allows clients to access remote files transparently like local files. AFS uses whole file caching at clients and call backs to ensure cache coherence. CODA extends AFS to support disconnected operation and user mobility through caching and logging updates locally when disconnected.
Personal storage to enterprise storage system journeySoumen Sarkar
A brief journey through storage wonderland. Notes are not visible when you view in slide share. However they would be visible when the slides are viewed in powerpoint [you have to download the slides for that]
This document outlines the potential programming for a development site, dividing it into 8 sections - Entertainment/Stage, Gaming, Visitors Center, Main Public Entrance, Commercial spaces, Greenspace/Plaza, and Waterfront/Docking. It describes what could be included in each section, such as a flexible theater space, outdoor gaming areas, retail shops, dining, public art, and a boardwalk connecting to the waterfront. The overall goal is to create an exciting development that enhances connections between neighborhoods and amenities in Cleveland.
Boris Akunin is a pen name of Grigory Chkhartishvili, a Russian author known for his historical mystery novels. Some of his most famous works are the Erast Fandorin series set in 19th century Russia which follow the adventures of detective Erast Fandorin. Akunin has received several awards for his writing including being named Russian Writer of the Year in 2000. Erast Fandorin is a fictional Russian detective who unravels mysteries in novels that have become popular in Russia, rivaling works like Lord of the Rings. The novels depict mysteries and intrigue set against important historical events and periods in 19th century Russian and world history.
This document contains information about a fundraising campaign called "Mission Vishvas" organized by CODOCA MTVCOLA MARKETING ADVERTISING AND OUTSOURCING PRIVATE LIMITED to provide funds for over 500 NGOs, orphanages, charitable trusts, and cancer care organizations. The campaign will donate 50% of profits from selling research papers/white papers to these organizations after deducting taxes. It encourages contacting Mr. Vishvas Yadav for more details or to provide bank account details to receive donations.
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The document discusses enterprise resource planning (ERP) systems. It provides an overview of what ERP is and how it integrates business functions and data. It then describes some of the key steps in choosing an ERP system, such as selecting an implementation team, defining business needs, qualifying software products, and selecting a solution provider. Finally, it outlines some of the biggest challenges of ERP implementation, including issues with management support, project management, resistance to change from employees, lack of training, and risks associated with resources and testing.
The document is a screenplay that introduces the main character Jay on his first day at a new school. In the courtyard, students display a variety of powers from flying to manipulating fire and metal. Jay feels nervous but meets Alice, who can manifest her subconscious. Their conversation is cut short by the start of class, where Jay hopes to learn what powers he has.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
How To Search For Deceased Family Members In ObituariesGenealogyBank
Learn how to use obituaries to find your deceased family members. This deck demonstrates searching obituary records to uncover the clues that will help you discover long lost relatives that have passed away and trace your family tree.
Learn how to do genealogy research using old newspaper obituaries.
The document discusses the communication challenges that arise in online counseling compared to face-to-face counseling. In face-to-face sessions, counselors can observe verbal and nonverbal cues from clients like body language, breathing, and tone of voice that provide insight. However, these cues are absent in online sessions if the client is not visible. The document suggests some electronic tools like emoticons, capitalization, and typing features that counselors and clients can use to replicate nonverbal cues. It emphasizes developing a private language with each client and being client-led in the use of these tools.
What’s been going on in the media centergcleveland
The document reports the monthly circulation statistics and collaborations for the media center for September, October, and November. In September, 1378 books were circulated to students. In October, 1744 books were circulated. Circulation increased to 2233 books in November. The report also lists the various classroom teachers that collaborated with the media center each month on projects involving book carts, book reviews, and other activities related to circulating books and resources to students.
The document summarizes Sesa Goa's response to allegations made by India's Serious Fraud Investigation Office (SFIO). Sesa Goa denies all charges levied by SFIO, including under-invoicing of iron ore exports, excess commissions paid, over-invoicing of coking coal imports, and over-invoicing of iron ore sales to a subsidiary. Sesa Goa argues that SFIO's conclusions contradict its own findings of no funds siphoning or suspicious transactions. The company provides detailed explanations to counter each allegation.
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This document summarizes the history of corporate real estate outsourcing from the 1990s to the present. It notes that the company was the first in several areas of CRE outsourcing, including securing the first US contracts in the 1990s, the first Asian corporate outsourcing deal in the 2000s, and the largest domestic CRE outsourcing deal outside the US in the 2010s. The document also discusses how the volatile, uncertain, complex, and ambiguous business environment makes real estate management difficult but that outsourcing can provide benefits like cost savings, innovation, and better resource deployment.
The document discusses distributed file systems. It defines a distributed file system as a classical model of a file system distributed across multiple machines to promote sharing of dispersed files. Key aspects discussed include:
- Files are accessed using the same operations (create, read, etc.) regardless of physical location.
- Systems aim to make file locations transparent to clients through techniques like replication and unique file identifiers.
- Caching is used to improve performance by retaining recently accessed data locally to reduce remote access.
- Consistency must be maintained when copies are updated.
A Distributed File System(DFS) is simply a classical model of a file system distributed across multiple machines.The purpose is to promote sharing of dispersed files.
File service architecture and network file systemSukhman Kaur
Distributed file systems allow users to access and share files located on multiple computer systems. They provide transparency so that clients can access local and remote files in the same way. Issues include maintaining consistent concurrent updates and caching files for improved performance. Network File System (NFS) is an open standard protocol that allows remote file access like a local file system. It uses remote procedure calls and has evolved through several versions to support features like locking, caching, and security.
This document provides an overview of distributed file systems (DFS), including their structure, naming and transparency, remote file access, caching, and example systems. Some key points:
- A DFS manages dispersed storage devices across a network to provide shared files and storage. It provides location transparency so the physical location of files is hidden from users.
- Remote file access in DFS is enabled through caching, where frequently accessed data is cached locally to reduce network traffic. This raises cache consistency issues in keeping cached copies up-to-date.
- The Andrew distributed computing environment example presented a DFS with a shared name space spanning over 5,000 workstations using whole-file caching for remote access.
This document provides an overview of distributed file systems (DFS), including naming and transparency, remote file access, caching techniques, and example systems such as the Andrew file system. Some key points are:
- A DFS manages dispersed storage devices across a network to provide a shared file space for multiple users. It provides location transparency so file locations are hidden from clients.
- Caching is used to improve performance of remote file access by retaining frequently used data locally. Consistency must be maintained between cached and master copies.
- Systems can use stateful or stateless file service. Stateful requires maintaining client session data while stateless makes each request self-contained.
- The Andrew file system example illustrates
This document discusses distributed file systems (DFS), including their structure, naming and transparency, remote file access, caching, consistency issues, stateful vs stateless service, file replication, and examples like the Andrew distributed computing environment. Key points are that a DFS manages dispersed storage across a network, provides location and naming transparency, uses caching to improve performance of remote access, and must address consistency between cached and master copies of files.
This document discusses distributed file systems. It defines a distributed file system as a classical file system model that is distributed across multiple machines to promote sharing of dispersed files. The key aspects covered are that clients, servers, and storage are dispersed across machines and clients should view a distributed file system the same way as a centralized file system, with the distribution hidden at a lower level. Performance concerns for distributed file systems include throughput and response time.
This document discusses distributed file systems. It begins by defining key terms like filenames, directories, and metadata. It then describes the goals of distributed file systems, including network transparency, availability, and access transparency. The document outlines common distributed file system architectures like client-server and peer-to-peer. It also discusses specific distributed file systems like NFS, focusing on their protocols, caching, replication, and security considerations.
The document discusses key concepts related to distributed file systems including:
1. Files are accessed using location transparency where the physical location is hidden from users. File names do not reveal storage locations and names do not change when locations change.
2. Remote files can be mounted to local directories, making them appear local while maintaining location independence. Caching is used to reduce network traffic by storing recently accessed data locally.
3. Fault tolerance is improved through techniques like stateless server designs, file replication across failure independent machines, and read-only replication for consistency. Scalability is achieved by adding new nodes and using decentralized control through clustering.
Network File System (NFS) is a distributed file system protocol that allows users to access and share files located on remote computers as if they were local. NFS runs on top of RPC and supports operations like file reads, writes, lookups and locking. It uses a stateless client-server model where clients make requests to NFS servers, which are responsible for file storage and operations. NFS provides mechanisms for file sharing, locking, caching and replication to enable reliable access and performance across a network.
Distributed file systems allow files to be shared across multiple computers even without other inter-process communication. There are three main naming schemes for distributed files: 1) mounting remote directories locally, 2) combining host name and local name, and 3) using a single global namespace. File caching schemes aim to reduce network traffic by storing recently accessed files in local memory. Key decisions for caching schemes include cache location (client/server memory or disk) and how/when modifications are propagated to servers.
In computing, a distributed file system (DFS) or network file system is any file system that allows access to files from multiple hosts sharing via a computer network. This makes it possible for multiple users on multiple machines to share files and storage resources.
This document discusses distributed file systems (DFS), which allow files to be dispersed across networked machines. A DFS includes clients that access files, servers that store files, and services that provide file access. Key features of DFS include mapping logical file names to physical storage locations, transparency so file locations are hidden, and replication to improve availability and performance. DFS supports either stateful or stateless access, with stateful requiring unique identifiers but enabling features like read-ahead. Namespaces and replication help organize files across multiple servers.
The document discusses availability and reliability in distributed systems. It describes that for a system to be truly reliable, it must be fault-tolerant, highly available, recoverable, consistent, scalable, have predictable performance, and be secure. It then discusses how the namenode is a single point of failure in Hadoop, and describes various approaches to improve availability through replicating metadata and using secondary or backup nodes.
Ibm spectrum scale fundamentals workshop for americas part 4 Replication, Str...xKinAnx
The document provides an overview of IBM Spectrum Scale Active File Management (AFM). AFM allows data to be accessed globally across multiple clusters as if it were local by automatically managing asynchronous replication. It describes the various AFM modes including read-only caching, single-writer, and independent writer. It also covers topics like pre-fetching data, cache eviction, cache states, expiration of stale data, and the types of data transferred between home and cache sites.
Distributed file systems (from Google)Sri Prasanna
This document summarizes a lecture on distributed file systems. It discusses Network File System (NFS) and the Google File System (GFS). NFS allows remote access to files on servers and uses client caching for efficiency. GFS was designed for Google's need to redundantly store massive amounts of data on unreliable hardware. It uses large file chunks, replication for reliability, and a single master for coordination to provide high throughput for streaming reads of huge files.
The document discusses various types of file systems including local file systems, network file systems, shared disk file systems, and the General Parallel File System.
Local file systems use journaling and snapshots to provide consistency even after crashes. Volume managers aggregate disks to form virtual disks. Network file systems allow accessing files across a network through file servers. Shared disk file systems allow clients to directly access files on storage over a network to avoid bottlenecks in file servers. The General Parallel File System is a shared disk file system that directly connects clients and storage.
This document provides an overview of distributed file systems (DFS). It discusses how DFS works using a client-server model to allow multiple users to access and share files across a network. Key concepts of DFS include distributing data blocks across multiple nodes for parallel processing, replicating data for fault tolerance and high concurrency, and providing a single global filesystem view. Popular DFS implementations mentioned include NFS, HDFS, Ceph, and GlusterFS. The advantages of DFS are scalability, fault tolerance, and high concurrency, while challenges include maintaining transparency, scalable performance, consistency, and security across distributed systems.
A distributed file system allows files to be stored on multiple computers that are connected over a network. It implements a common file system that can be accessed by all computers. Key goals are network transparency, so users can access files without knowing their location, and high availability, so files can always be easily accessed regardless of physical location. The main components are a name server that maps file names to locations, and cache managers that store copied of remote files locally to improve performance. Mechanisms like mounting, caching, bulk data transfer, and encryption help build robust distributed file systems.
REST (REpresentational State Transfer) is a web service architecture that uses HTTP requests to GET, POST, PUT, PATCH, and DELETE data in a stateless manner. It focuses on resources instead of remote procedures. REST examples show making GET requests to retrieve XML data from a URI and using RESTful principles like addressability, connectedness, statelessness, and a homogeneous interface with standard HTTP methods.
This document discusses media server options for Ubuntu, including iTunes Media Server which uses Digital Audio Access Protocol (DAAP) and the mt-daap and FirePlay clients. It also mentions the Media Player Daemon (MPD) as an alternative media server that includes an MPD server and clients that can control streaming.
This document discusses implementing a file upload feature using open source technologies. It describes using HTML forms to upload files and a PHP script to handle the upload. It then recommends using the open source Plupload library to add multiple file selection, client-side validation, and progress bars. The Plupload library allows uploading files to a PHP script which can then store the files in a database.
This document discusses computer security and threats. It covers authentication through passwords, program threats like trojan horses and trap doors, system threats such as worms and viruses. It also discusses threat monitoring through audit logs and scans, and encryption techniques like public-key encryption. The goal is to protect systems from unauthorized access, malicious modification, and accidental inconsistencies.
This document provides an overview of the Linux operating system, including its history, design principles, and key components. It began in 1991 as a small kernel developed by Linus Torvalds and has grown through collaboration over the Internet. The core Linux kernel is original but can run existing UNIX software. Major versions have added support for new hardware, file systems, networking, and multiprocessing. Key components include the Linux kernel, system libraries, and system utilities. The kernel uses loadable modules and supports process management and scheduling.
This document discusses protection in operating systems. It covers the goals of protection, domains of protection, access matrices, implementation of access matrices, revocation of access rights, capability-based systems, and language-based protection. The key aspects are that protection ensures each object is only accessed by allowed processes, domains define access rights to objects, access matrices represent access permissions, and capabilities and access control lists are approaches to implementing and revoking access rights.
The document provides an overview of the Unix operating system, including its history, design principles, interfaces, and key components. It was originally developed in 1969 at Bell Labs and incorporated features from Multics. The C programming language was developed to support Unix. Key aspects include its process management, memory management using paging and swapping, file system storing files in blocks and fragments, and user interface through command line shells.
This document discusses network structures and communication. It describes different types of network topologies including fully connected, partially connected, tree-structured, star, ring, and bus networks. It also describes different network types like local area networks (LANs) and wide area networks (WANs). Additionally, it discusses important aspects of network communication like naming and addressing, routing strategies, connection strategies, contention, and design strategies using a layered approach.
This document discusses secondary storage devices used by operating systems, including disk structure, disk scheduling algorithms, disk management, swap space management, and tertiary storage devices. It provides details on disk addressing, mapping, scheduling algorithms like FCFS, SSTF, SCAN and C-SCAN. It also summarizes disk reliability techniques, stable storage implementation, removable media like floppy disks, tapes, optical disks and their applications. Hierarchical storage management and performance factors like speed, reliability and cost of different storage devices are also overviewed.
This document discusses various techniques for distributed coordination including event ordering, mutual exclusion, atomicity, concurrency control, deadlock handling, election algorithms, and reaching agreement. It provides details on implementing happened-before relations for event ordering, centralized and distributed approaches for mutual exclusion, using two-phase commit for atomicity, locking protocols and timestamp ordering for concurrency control, deadlock prevention and detection methods, and election algorithms for determining where to restart a coordinator process.
This document discusses input/output (I/O) systems. It describes I/O hardware, including devices, ports, buses and controllers. It explains how I/O requests are handled using techniques like polling, interrupts and direct memory access. It also discusses the role of the operating system kernel in managing I/O through subsystems that interface with applications, transform requests, handle buffers and errors. The performance of I/O systems is also covered.
This document discusses key aspects of file systems including file concepts, directory structures, access methods, allocation methods, and file system performance and recovery. It covers topics such as file attributes, operations, types, structures, tree-structured and graph-based directories, protection methods, free space management, efficiency techniques, and consistency checking. The goal is to provide an overview of file system interfaces and how different components are organized and managed.
Virtual memory allows a program's logical address space to be larger than physical memory by swapping pages in and out of memory as needed. Demand paging brings pages into memory only when they are referenced. When a page is not in memory and is referenced, a page fault occurs which causes the OS to locate a free frame, swap in the page, and update tables. Page replacement algorithms like FIFO and LRU are used to determine which page to swap out when there is no free frame. Thrashing can occur if working set size is larger than physical memory.
Windows NT is a 32-bit preemptive multitasking operating system that uses a microkernel architecture. It has several key goals including portability, security, POSIX compliance, extensibility, and compatibility with MS-DOS and Windows applications. The document discusses Windows NT's history, design principles, system components including the kernel, executive subsystems, virtual memory manager, process manager, file system, and networking. It provides details on how Windows NT achieves reliability, performance, and international support through its layered architecture and object-oriented design.
This document discusses various memory management techniques including paging, segmentation, and swapping. Paging divides memory into fixed-size blocks called frames and logical memory into blocks called pages. It uses a page table to map logical to physical addresses. Segmentation divides programs into segments and uses segment tables to map logical segments to physical frames. Swapping temporarily moves processes out of memory to disk to allow other processes to run.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
What is Continuous Testing in DevOps - A Definitive Guide.pdfkalichargn70th171
Once an overlooked aspect, continuous testing has become indispensable for enterprises striving to accelerate application delivery and reduce business impacts. According to a Statista report, 31.3% of global enterprises have embraced continuous integration and deployment within their DevOps, signaling a pervasive trend toward hastening release cycles.
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
Vector databases are transforming how we handle data, allowing us to search through text, images, and audio by converting them into vectors. Today, we'll dive into the basics of this exciting technology and discuss its potential to revolutionize our next-generation AI applications. We'll examine typical uses for these databases and the essential tools
developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration