This document discusses IBM's Elastic Storage product. It provides an overview of Elastic Storage's key features such as extreme scalability, high performance, support for various operating systems and hardware, data lifecycle management capabilities, integration with Hadoop, and editions/pricing. It also compares Elastic Storage to alternative storage solutions and discusses how Elastic Storage can be used to build private and hybrid clouds with OpenStack.
IBM Spectrum Scale is software-defined storage that provides file storage for cloud, big data, and analytics solutions. It offers data security through native encryption and secure erase, scalability via snapshots, and high performance using flash acceleration. Spectrum Scale is proven at over 3,000 customers handling large datasets for applications such as weather modeling, digital media, and healthcare. It scales to over a billion petabytes and supports file sharing in on-premises, private, and public cloud deployments.
Ibm spectrum scale fundamentals workshop for americas part 5 ess gnr-usecases...xKinAnx
This document provides an overview of Spectrum Scale 4.1 system administration. It describes the Elastic Storage Server options and components, Spectrum Scale native RAID (GNR), and tips for best practices. GNR implements sophisticated data placement and error correction algorithms using software RAID to provide high reliability and performance without additional hardware. It features auto-rebalancing, low rebuild overhead through declustering, and end-to-end data checksumming.
This document summarizes the benefits of SoftLayer cloud infrastructure services. It highlights testimonials from customers in the UK and Germany who have improved reliability, reduced development times, and avoided issues like scaling by using SoftLayer. Data shows SoftLayer is nearly three times faster than competitors and provides lower total cost of ownership. SoftLayer offers flexible, reliable cloud services across 28 data centers globally.
The document discusses IBM Spectrum Scale, a software-defined storage solution from IBM. It provides:
1) A family of software-defined storage products including IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum Archive, IBM Spectrum Virtualize, IBM Spectrum Accelerate, and IBM Spectrum Scale.
2) IBM Spectrum Scale allows storing data everywhere and running applications anywhere. It provides highly scalable, high-performance storage for files, objects, and analytics workloads.
3) The document provides an overview of the IBM Spectrum Scale product and its capabilities for optimizing storage costs, improving data protection, enabling global collaboration, and ensuring data availability, integrity and security.
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
IBM Spectrum Scale offerings include the Spectrum Scale software that you can deploy on your own choice of hardware, Elastic Storage Server and Storwize V7000 Unified pre-built systems.
Spectrum Scale - Diversified analytic solution based on various storage servi...Wei Gong
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
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.
GPFS (General Parallel File System) is a high-performance clustered file system developed by IBM that can be deployed in shared disk or shared-nothing distributed parallel modes. It was created to address the growing imbalance between increasing CPU, memory, and network speeds, and the relatively slower growth of disk drive speeds. GPFS provides high scalability, availability, and advanced data management features like snapshots and replication. It is used extensively by large companies and supercomputers due to its ability to handle large volumes of data and high input/output workloads in distributed, parallel environments.
IBM Spectrum Scale is software-defined storage that provides file storage for cloud, big data, and analytics solutions. It offers data security through native encryption and secure erase, scalability via snapshots, and high performance using flash acceleration. Spectrum Scale is proven at over 3,000 customers handling large datasets for applications such as weather modeling, digital media, and healthcare. It scales to over a billion petabytes and supports file sharing in on-premises, private, and public cloud deployments.
Ibm spectrum scale fundamentals workshop for americas part 5 ess gnr-usecases...xKinAnx
This document provides an overview of Spectrum Scale 4.1 system administration. It describes the Elastic Storage Server options and components, Spectrum Scale native RAID (GNR), and tips for best practices. GNR implements sophisticated data placement and error correction algorithms using software RAID to provide high reliability and performance without additional hardware. It features auto-rebalancing, low rebuild overhead through declustering, and end-to-end data checksumming.
This document summarizes the benefits of SoftLayer cloud infrastructure services. It highlights testimonials from customers in the UK and Germany who have improved reliability, reduced development times, and avoided issues like scaling by using SoftLayer. Data shows SoftLayer is nearly three times faster than competitors and provides lower total cost of ownership. SoftLayer offers flexible, reliable cloud services across 28 data centers globally.
The document discusses IBM Spectrum Scale, a software-defined storage solution from IBM. It provides:
1) A family of software-defined storage products including IBM Spectrum Control, IBM Spectrum Protect, IBM Spectrum Archive, IBM Spectrum Virtualize, IBM Spectrum Accelerate, and IBM Spectrum Scale.
2) IBM Spectrum Scale allows storing data everywhere and running applications anywhere. It provides highly scalable, high-performance storage for files, objects, and analytics workloads.
3) The document provides an overview of the IBM Spectrum Scale product and its capabilities for optimizing storage costs, improving data protection, enabling global collaboration, and ensuring data availability, integrity and security.
S ss0885 spectrum-scale-elastic-edge2015-v5Tony Pearson
IBM Spectrum Scale offerings include the Spectrum Scale software that you can deploy on your own choice of hardware, Elastic Storage Server and Storwize V7000 Unified pre-built systems.
Spectrum Scale - Diversified analytic solution based on various storage servi...Wei Gong
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
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.
GPFS (General Parallel File System) is a high-performance clustered file system developed by IBM that can be deployed in shared disk or shared-nothing distributed parallel modes. It was created to address the growing imbalance between increasing CPU, memory, and network speeds, and the relatively slower growth of disk drive speeds. GPFS provides high scalability, availability, and advanced data management features like snapshots and replication. It is used extensively by large companies and supercomputers due to its ability to handle large volumes of data and high input/output workloads in distributed, parallel environments.
Snapshots have been a key feature of primary storage infrastructures that IT professionals have relied on for years. But storage systems have traditionally been able to support only a limited number of active snapshots. And snapshots, being pointers and not actual data, are also susceptible to a primary storage system failure. As a result, most IT professionals use snapshots sparingly for protecting data. In this webinar Storage Switzerland and Nexenta show you how primary storage can be architected so that snapshots are able to meet almost all of the data protection requirements an organization has.
Ibm spectrum scale fundamentals workshop for americas part 1 components archi...xKinAnx
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
IBM general parallel file system - introductionIBM Danmark
The document provides information about IBM's General Parallel File System (GPFS) 3.5 and introduces the GPFS Storage Server (GSS). It summarizes that GPFS is a scalable high-performance file management system that can scale from 1 to 8192 nodes. The GSS is a new storage solution using IBM servers and JBOD storage to provide high capacity and performance storage in a scalable building block approach. The GSS has no storage controllers and provides a single integrated storage solution built on GPFS software.
Engage for success ibm spectrum accelerate 2xKinAnx
IBM Spectrum Accelerate is software that extends the capabilities of IBM's XIV storage system, such as consistent performance tuning-free, to new delivery models. It provides enterprise storage capabilities deployed in minutes instead of months. Spectrum Accelerate runs the proven XIV software on commodity x86 servers and storage, providing similar features and functions to an XIV system. It offers benefits like business agility, flexibility, simplified acquisition and deployment, and lower administration and training costs.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
Ibm spectrum scale fundamentals workshop for americas part 4 spectrum scale_r...xKinAnx
This document provides information about replication and stretch clusters in IBM Spectrum Scale. It defines replication as synchronously copying file system data across failure groups for redundancy. While replication improves availability, it reduces performance and increases storage usage. Stretch clusters combine two or more clusters to create a single large cluster, typically using replication between sites. Replication policies and failure group configuration are important to ensure effective data duplication.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
Ibm spectrum scale fundamentals workshop for americas part 8 spectrumscale ba...xKinAnx
The document provides an overview of key concepts covered in a GPFS 4.1 system administration course, including backups using mmbackup, SOBAR integration, snapshots, quotas, clones, and extended attributes. The document includes examples of commands and procedures for administering these GPFS functions.
IBM Spectrum Scale 4.2.3 provides concise security capabilities including:
1) Secure data at rest through encryption and secure deletion capabilities as well as support for NIST algorithms.
2) Secure data in transit with support for Kerberos, SSL/TLS, and configurable security levels for cluster communication.
3) Role-based access control and support for directory services like Active Directory for authentication and authorization.
4) Secure administration through SSH/TLS for commands and REST APIs, role-based access in the GUI, and limited admin nodes.
5) Additional features like file and object access control lists, firewall support, immutability mode for compliance, and audit logging.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...xKinAnx
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
Introduction to IBM Spectrum Scale and Its Use in Life ScienceSandeep Patil
IBM Spectrum Scale is a scalable file system that can be used to support life science research. It provides high scalability, high availability, and a software read cache called Local Read Only Cache (LROC) that uses SSDs to improve performance. The University of Basel uses Spectrum Scale in their scientific computing and storage infrastructure to support various research areas including bioinformatics, structural biology, and hosting reference services. It provides features such as cluster file systems, data migration, hierarchical storage management, encryption, and disaster recovery between two sites using asynchronous file migration.
IBM Spectrum Scale Best Practices for Genomics Medicine WorkloadsUlf Troppens
Genomics medicine requires physicians, data scientists and researchers to analyze huge amounts of genomics data quickly. The IBM Spectrum Scale Best Practices for Genomics Medicine Workload provides composable infrastructure that enables IT architects to customize deployments for varying functional and performance needs. The described scale-out architecture is capable to store, access and manage genomics data from a few 100 TB to tens of PB. The solution integrates compute resources and an easy-to-use Web User Interface to submit high-throughput batch jobs to analyze genomics data sets. While the best practices are optimized for genomics medicine workloads, most of the settings are generic and applicable to other workloads and industries.
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.
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.
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
IBM is a platinum sponsor of OpenStack, and is the #1 ranked vendor of Software Defined Storage. This session explains how its Spectrum Storage family of products support Glance, Cinder, Manila, Swift and Keystone interfaces of OpenStack.
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
IBM offers a variety of storage optimization technologies that balance performance and cost. This session covers Easy Tier, Storage Analytics, and Spectrum Scale.
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.
Ibm spectrum scale fundamentals workshop for americas part 6 spectrumscale el...xKinAnx
This document provides an overview of managing Spectrum Scale opportunity discovery and working with external resources to be successful. It discusses how to build presentations and configurations to address technical and philosophical solution requirements. The document introduces IBM Spectrum Scale as providing low latency global data access, linear scalability, and enterprise storage services on standard hardware for on-premise or cloud deployments. It also discusses Spectrum Scale and Elastic Storage Server, noting the latter is a hardware building block with GPFS 4.1 installed. The document provides tips for discovering opportunities through RFPs, RFIs, events, workshops, and engaging clients to understand their needs in order to build compelling proposal information.
Inter connect2016 yss1841-cloud-storage-options-v4Tony Pearson
This session will cover private and public cloud storage options, including flash, disk and tape, to address the different types of cloud storage requirements. It will also explain the use of Active File Management for local space management and global access to files, and support for file-and-sync.
Steve Sams (VP IBM Global Site & Facilities Services) presentation at Gartner Data Center Conference (Dec 2011). Learn more about IBM Smarter Data Center Services: ibm.co/smarterdc
This document lists various statistics about the environmental impact of data centers and IT infrastructure. It notes that data centers consume massive amounts of energy and resources, for example a typical mid-sized data center uses 60 million gallons of water over 10 years. The coal used to power 70% of the world's electricity is a major contributor to greenhouse gas emissions. Adopting more sustainable IT practices such as server virtualization and storage consolidation could significantly reduce these environmental impacts and costs.
Snapshots have been a key feature of primary storage infrastructures that IT professionals have relied on for years. But storage systems have traditionally been able to support only a limited number of active snapshots. And snapshots, being pointers and not actual data, are also susceptible to a primary storage system failure. As a result, most IT professionals use snapshots sparingly for protecting data. In this webinar Storage Switzerland and Nexenta show you how primary storage can be architected so that snapshots are able to meet almost all of the data protection requirements an organization has.
Ibm spectrum scale fundamentals workshop for americas part 1 components archi...xKinAnx
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
IBM general parallel file system - introductionIBM Danmark
The document provides information about IBM's General Parallel File System (GPFS) 3.5 and introduces the GPFS Storage Server (GSS). It summarizes that GPFS is a scalable high-performance file management system that can scale from 1 to 8192 nodes. The GSS is a new storage solution using IBM servers and JBOD storage to provide high capacity and performance storage in a scalable building block approach. The GSS has no storage controllers and provides a single integrated storage solution built on GPFS software.
Engage for success ibm spectrum accelerate 2xKinAnx
IBM Spectrum Accelerate is software that extends the capabilities of IBM's XIV storage system, such as consistent performance tuning-free, to new delivery models. It provides enterprise storage capabilities deployed in minutes instead of months. Spectrum Accelerate runs the proven XIV software on commodity x86 servers and storage, providing similar features and functions to an XIV system. It offers benefits like business agility, flexibility, simplified acquisition and deployment, and lower administration and training costs.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
Ibm spectrum scale fundamentals workshop for americas part 4 spectrum scale_r...xKinAnx
This document provides information about replication and stretch clusters in IBM Spectrum Scale. It defines replication as synchronously copying file system data across failure groups for redundancy. While replication improves availability, it reduces performance and increases storage usage. Stretch clusters combine two or more clusters to create a single large cluster, typically using replication between sites. Replication policies and failure group configuration are important to ensure effective data duplication.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document discusses IBM Spectrum Scale, which provides universal access to files and objects across data centers. It can scale to support up to 18 quintillion files per file system and 256 file systems per cluster. IBM Spectrum Scale provides high performance, proven reliability, and flexible access to data through various file and object protocols. It can be deployed as software on various systems, as pre-built systems, or as cloud services. The document outlines the various capabilities and uses of IBM Spectrum Scale, such as file management policies, caching, encryption, protocol servers, integration with Hadoop and backup/disaster recovery.
Ibm spectrum scale fundamentals workshop for americas part 8 spectrumscale ba...xKinAnx
The document provides an overview of key concepts covered in a GPFS 4.1 system administration course, including backups using mmbackup, SOBAR integration, snapshots, quotas, clones, and extended attributes. The document includes examples of commands and procedures for administering these GPFS functions.
IBM Spectrum Scale 4.2.3 provides concise security capabilities including:
1) Secure data at rest through encryption and secure deletion capabilities as well as support for NIST algorithms.
2) Secure data in transit with support for Kerberos, SSL/TLS, and configurable security levels for cluster communication.
3) Role-based access control and support for directory services like Active Directory for authentication and authorization.
4) Secure administration through SSH/TLS for commands and REST APIs, role-based access in the GUI, and limited admin nodes.
5) Additional features like file and object access control lists, firewall support, immutability mode for compliance, and audit logging.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...xKinAnx
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
Introduction to IBM Spectrum Scale and Its Use in Life ScienceSandeep Patil
IBM Spectrum Scale is a scalable file system that can be used to support life science research. It provides high scalability, high availability, and a software read cache called Local Read Only Cache (LROC) that uses SSDs to improve performance. The University of Basel uses Spectrum Scale in their scientific computing and storage infrastructure to support various research areas including bioinformatics, structural biology, and hosting reference services. It provides features such as cluster file systems, data migration, hierarchical storage management, encryption, and disaster recovery between two sites using asynchronous file migration.
IBM Spectrum Scale Best Practices for Genomics Medicine WorkloadsUlf Troppens
Genomics medicine requires physicians, data scientists and researchers to analyze huge amounts of genomics data quickly. The IBM Spectrum Scale Best Practices for Genomics Medicine Workload provides composable infrastructure that enables IT architects to customize deployments for varying functional and performance needs. The described scale-out architecture is capable to store, access and manage genomics data from a few 100 TB to tens of PB. The solution integrates compute resources and an easy-to-use Web User Interface to submit high-throughput batch jobs to analyze genomics data sets. While the best practices are optimized for genomics medicine workloads, most of the settings are generic and applicable to other workloads and industries.
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.
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.
S cv3179 spectrum-integration-openstack-edge2015-v5Tony Pearson
IBM is a platinum sponsor of OpenStack, and is the #1 ranked vendor of Software Defined Storage. This session explains how its Spectrum Storage family of products support Glance, Cinder, Manila, Swift and Keystone interfaces of OpenStack.
S de0882 new-generation-tiering-edge2015-v3Tony Pearson
IBM offers a variety of storage optimization technologies that balance performance and cost. This session covers Easy Tier, Storage Analytics, and Spectrum Scale.
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.
Ibm spectrum scale fundamentals workshop for americas part 6 spectrumscale el...xKinAnx
This document provides an overview of managing Spectrum Scale opportunity discovery and working with external resources to be successful. It discusses how to build presentations and configurations to address technical and philosophical solution requirements. The document introduces IBM Spectrum Scale as providing low latency global data access, linear scalability, and enterprise storage services on standard hardware for on-premise or cloud deployments. It also discusses Spectrum Scale and Elastic Storage Server, noting the latter is a hardware building block with GPFS 4.1 installed. The document provides tips for discovering opportunities through RFPs, RFIs, events, workshops, and engaging clients to understand their needs in order to build compelling proposal information.
Inter connect2016 yss1841-cloud-storage-options-v4Tony Pearson
This session will cover private and public cloud storage options, including flash, disk and tape, to address the different types of cloud storage requirements. It will also explain the use of Active File Management for local space management and global access to files, and support for file-and-sync.
Steve Sams (VP IBM Global Site & Facilities Services) presentation at Gartner Data Center Conference (Dec 2011). Learn more about IBM Smarter Data Center Services: ibm.co/smarterdc
This document lists various statistics about the environmental impact of data centers and IT infrastructure. It notes that data centers consume massive amounts of energy and resources, for example a typical mid-sized data center uses 60 million gallons of water over 10 years. The coal used to power 70% of the world's electricity is a major contributor to greenhouse gas emissions. Adopting more sustainable IT practices such as server virtualization and storage consolidation could significantly reduce these environmental impacts and costs.
Almacenamiento y gestion de la informacionSandraMolina98
Este documento describe diferentes formas de almacenar y gestionar información encontrada en línea. Explica cómo guardar documentos, páginas web, imágenes y otros archivos digitales. También describe cómo usar marcadores y favoritos en navegadores como Firefox, Internet Explorer y Chrome para organizar y acceder fácilmente a páginas web. Además, discute el proceso de gestionar información a través de la selección, comprensión y crítica de los contenidos.
IBM Watson: How it Works, and What it means for Society beyond winning Jeopardy!Tony Pearson
Here are some key facts about conjunctivitis (pinkeye):
- Conjunctivitis, commonly known as pinkeye, is inflammation or infection of the transparent membrane (conjunctiva) that lines your eyelid and covers the white part of your eye.
- Common symptoms include redness of the eye, eye discharge (watery or pus-like), itching, burning, or irritation. You may also experience increased tear production, sensitivity to light, and crusting of eyelids after sleep.
- Pinkeye is usually caused by a viral or bacterial infection. Allergies can also cause conjunctivitis.
- Viral conjunctivitis is highly contag
Alexa, the voice service that powers Amazon Echo and Amazon Fire TV, provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Application developers are also able to create custom applications and skills that can be published in the Alexa App Store for consumers to use. Some examples of these today include Uber, Spotify and Domino’s Pizza.This session will advise on why voice is a relevant additional user engagement model for businesses, what a good VUI (Voice User Interface) sounds like, and also demonstrate how simple it is to build custom Alexa applications by utilising the hosted Alexa Voice service and the AWS cloud.
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.
This document summarizes new features in file systems and storage for Red Hat Enterprise Linux 6 and 7. Some key points include:
- RHEL6 introduced new LVM features like thin provisioning and snapshots that improve storage utilization and reduce administration. Ext4 and XFS were expanded file system options.
- RHEL6 also enhanced support for parallel NFS to improve scalability of NFS file systems. GFS2 and XFS saw performance improvements.
- RHEL7 is focusing on enhancing performance for high-speed devices like SSDs and new types of persistent memory. It will include block layer caching options and improved thin provisioning alerts. Btrfs support is also being expanded.
Software Defined Analytics with File and Object Access Plus Geographically Di...Trishali Nayar
Introduction to Spectrum Scale Active File Management (AFM)
and its use cases. Spectrum Scale Protocols - Unified File & Object Access (UFO) Feature Details
AFM + Object : Unique Wan Caching for Object Store
Hadoop and Spark Analytics over Better StorageSandeep Patil
This document discusses using IBM Spectrum Scale to provide a colder storage tier for Hadoop & Spark workloads using IBM Elastic Storage Server (ESS) and HDFS transparency. Some key points discussed include:
- Using Spectrum Scale to federate ESS with existing HDFS or Spectrum Scale filesystems, allowing data to be seamlessly accessed even if moved to the ESS tier.
- Extending HDFS across multiple HDFS and Spectrum Scale clusters without needing to move data using Spectrum Scale's HDFS transparency connector.
- Integrating ESS tier with Spectrum Protect for backup and Spectrum Archive for archiving to take advantage of their policy engines and automation.
- Examples of using the unified storage for analytics workflows, life
Gestione gerarchica dei dati con SUSE Enterprise Storage e HPE DMFSUSE Italy
In questa sessione HPE e SUSE illustrano con casi reali come HPE Data Management Framework e SUSE Enterprise Storage permettano di risolvere i problemi di gestione della crescita esponenziale dei dati realizzando un’architettura software-defined flessibile, scalabile ed economica. (Alberto Galli, HPE Italia e SUSE)
This document provides an overview of installing and configuring a 3 node GPFS cluster. It discusses using 8 shared LUNs across the 3 servers to simulate having disks from 2 different V7000 storage arrays for redundancy. The disks will be divided into 2 failure groups, with hdisk1-4 in one failure group representing one simulated array, and hdisk5-8 in the other failure group representing the other simulated array. This is to ensure redundancy in case of failure of an entire storage array.
The document outlines an agenda for a technical university session covering concepts of file and object storage, IBM NAS solutions like Spectrum NAS, Spectrum Scale, and Cloud Object Storage. It then describes how to use the File and Object Storage Design Engine studio, a pre-sales sizing tool, to generate designs for these IBM solutions based on user requirements. The presenter will demonstrate the tool using IBM Spectrum NAS as an example.
Ibm symp14 referent_marcus alexander mac dougall_ibm x6 und flex systemIBM Switzerland
This document discusses IBM's Flex System and PureSystem families of integrated infrastructure solutions. It provides an overview of the PureSystem portfolio and highlights how Flex System and PureFlex solutions deliver application platforms, infrastructure services, and data platforms in an integrated and optimized manner. It also describes key integration and design aspects of these solutions including virtualization, networking, storage, and systems management capabilities. The document includes details about IBM Flex System such as the Enterprise Chassis, its networking and storage expansion options, and supported compute nodes. It promotes the new IBM Flex System X6 as providing faster, more agile and resilient platforms optimized for analytics, virtualization, databases and other enterprise workloads.
This document discusses backup options for IBM PureData System for Analytics. It describes using either the filesystem approach with built-in backup commands or an external backup software like IBM Tivoli Storage Manager. The filesystem approach backs up metadata and databases to external storage devices, while external backup software allows scheduled, automated backups to disk, tape or virtual tape storage. It provides configurations for proof-of-concept testing and concludes that focusing on multiple backup streams improves performance.
Hortonworks Data Platform with IBM Spectrum ScaleAbhishek Sood
This document provides guidance on building an enterprise-grade data lake using IBM Spectrum Scale and Hortonworks Data Platform (HDP) for performing analytics workloads. It covers the benefits of the integrated solution and deployment models, including:
1) IBM Spectrum Scale provides extreme scalability, a global namespace, and reduced data center footprint for HDP analytics.
2) There are two deployment models - a shared storage model using IBM Elastic Storage Server behind an HDP cluster, and a shared nothing storage model running IBM Spectrum Scale directly on storage servers.
3) Guidelines are provided for cluster configuration using IBM Elastic Storage Server as centralized backend storage with HDP compute nodes connected over the network.
Elastic storage in the cloud session 5224 final v2BradDesAulniers2
IBM Spectrum Scale (formerly Elastic Storage) provides software defined storage capabilities using standard commodity hardware. It delivers automated, policy-driven storage services through orchestration of the underlying storage infrastructure. Key features include massive scalability up to a yottabyte in size, built-in high availability, data integrity, and the ability to non-disruptively add or remove storage resources. The software provides a single global namespace, inline and offline data tiering, and integration with applications like HDFS to enable analytics on existing storage infrastructure.
The document provides an introduction to network attached storage (NAS). It discusses the basics of NAS including how it works, differences from SAN storage, features like snapshots and global namespace, and common environments where NAS is used. It also summarizes IBM's NAS solutions including the SONAS enterprise NAS platform and N series unified storage platform, and notes that real-time compression can increase storage efficiency by up to 80% without impacting performance.
The IT industry has shifted from internal storage, external storage and finally networked storage. Now, some companies are exploring going backwards to new forms exploiting external storage and internal storage. This session covers IBM's foray into the world of converged and hyper-converged systems.
The Pendulum Swings Back: Converged and Hyperconverged EnvironmentsTony Pearson
The document discusses the history of data storage technologies and how the approach is shifting back towards converged and hyperconverged systems. It provides an overview of converged infrastructure solutions like IBM's VersaStack, which combines Cisco servers and networking equipment with IBM storage systems. The document also summarizes IBM's Storwize and FlashSystem storage platforms which can be used in converged and hyperconverged environments.
The document discusses EMC's strategy for Hadoop storage. It describes the Hadoop distributed file system (HDFS) and its architecture. It then outlines different approaches for integrating HDFS with storage solutions, including using integrated Hadoop distributions, HDFS storage array interfaces, and HDFS storage virtualization software. It also discusses analytics appliances and provides examples of EMC's data lake capabilities.
This document summarizes GlusterFS, an open-source scale-out network filesystem. It discusses GlusterFS concepts like servers, trusted storage pools, bricks and volumes. It describes the distributed, replicated and dispersed volume types. Additional features like geo-replication, snapshots, quotas and data tiering are covered. The document provides an overview of GlusterFS architecture, components like translators and processes. It also discusses performance considerations and accessing volumes via FUSE, NFS and SMB protocols.
Red Hat Storage Day LA - Persistent Storage for Linux Containers Red_Hat_Storage
This document discusses persistent storage options for Linux containers and how Red Hat Storage addresses the storage needs of containerized applications. It begins by explaining how containers package applications and dependencies for portability and ease of management. Typical workloads for containers often require persistent storage. The document then evaluates options like NFS, GlusterFS, Ceph RBD, iSCSI/FC and public cloud storage, noting that Red Hat Storage provides scalable, resilient, flexible software-defined storage. It presents Red Hat Storage and OpenShift Enterprise as a solution that allows applications and storage to run together on servers for improved utilization and costs. The document closes with two customer case studies demonstrating how Red Hat Storage supports containerized workloads at CapitalOne and Ver
7. emc isilon hdfs enterprise storage for hadoopTaldor Group
This document discusses using EMC Isilon scale-out NAS storage for Hadoop. It provides an overview of HDFS architecture challenges, how Isilon addresses these challenges through its scale-out NAS architecture and native HDFS support. It describes how Isilon allows HDFS metadata and data to be hosted on its clustered storage, providing enterprise-level data protection, efficiency, scalability and protocol support for Hadoop deployments.
DAOS (Distributed Application Object Storage) is a high-performance storage architecture and software stack that delivers scalable object storage capabilities. It uses Intel Optane memory and NVMe SSDs to provide high IOPS, bandwidth, and low latency storage. DAOS supports various data models and interfaces like POSIX, HDF5, Spark, and Python. It allows applications to access storage with library calls instead of system calls for high performance.
Similar to IBM Platform Computing Elastic Storage (20)
- As business cycles shorten and IT environments become more complex, managing technology has become difficult. The IBM Services Platform with Watson aims to address this by tapping over 30 years of IBM's IT expertise to help infrastructure run better while allowing CIOs to focus on business innovation.
- Deployed to over 800 clients, the platform enables managing IT operations autonomously through resolving issues faster, decreasing failure times, and providing assistance to human engineers. It also optimizes performance through insights that drive automation and remove the causes of issues.
The document discusses hybrid clouds, which integrate traditional IT with a combination of public, private, or managed cloud services. A hybrid cloud provides a virtual computing environment that combines services from various environments to deliver flexibility and the right service levels. Key connection points for a successful hybrid cloud include integration, data localization, operational visibility and management, security services, application portability, and standards-based infrastructure. The hybrid cloud model provides businesses flexibility to leverage the best deployment model for each workload and the ability to change models as needed to meet evolving business requirements.
The document discusses insider threats and how to mitigate them. It covers how insider threats can come from employees with malicious intent, but also from inadvertent actions like clicking a phishing link. Insider threats also include third party contractors who are given access to networks. The document provides recommendations for organizations to mitigate insider threats such as conducting background checks, monitoring unusual employee behavior, and escorting outsiders within the company's physical sites. It also discusses the ongoing threat of spam being used to distribute malware and how organizations need to protect their users from inadvertently enabling attacks through emails.
IBM Security QRadar SIEM
IBM Security QRadar SIEM is a next-generation SIEM platform that collects security data from across hybrid IT environments, analyzes it using advanced analytics and machine learning, and helps security teams detect, prioritize and respond to cyber threats.
This document is the copyrighted introduction to the book "APIs For Dummies, IBM Limited Edition" published by John Wiley & Sons, Inc. It provides an overview of what APIs are and why they are important for businesses. It states that APIs enable solutions like omnichannel experiences, faster innovation, mobile enterprises, and hybrid cloud environments. The book will define the nature of modern APIs and guide readers through decisions about which APIs to provide/consume and how to build an effective API platform. Key themes are that APIs should be treated as products and that an experimental approach of "trying early, learning fast, and scaling easily" is important.
IBM X-Force Threat Intelligence Quarterly,
4Q 2014
Get a closer look at today’s security risks—from new threats arising from within the
Internet of Things, to the sources of malware and botnet infections.
IBM Cloud Manager with OpenStack provides an easy to deploy and manage private and hybrid cloud platform based on OpenStack. It features automated installation, integrated management through a single dashboard, and improved ROI through superior resource scheduling and a self-service portal. The solution supports heterogeneous infrastructure across IBM and x86 servers and major hypervisors. It also provides seamless hybrid cloud capabilities and access to OpenStack APIs while being backed by IBM support.
This document provides an introduction to Big Data and Analytics (BD&A). It discusses the three key attributes of Big Data: volume, velocity, and variety. Volume refers to the large amounts of data involved, often terabytes to petabytes. Velocity refers to the speed at which data moves and is analyzed. Variety means data can come in many different forms both structured and unstructured. The document introduces some common types of analytics and explains the business need for BD&A in terms of competitive advantage, return on investment, and improved customer experience. It stresses the importance of BD&A infrastructure to enable a successful BD&A solution and discusses an approach for planning and implementing infrastructure.
What is IBM Bluemix , Une nouvelle façon de coder , dans le cloudPatrick Bouillaud
The document discusses IBM Bluemix, a cloud platform for building, deploying, and managing apps. Some key points:
- Bluemix allows developers to quickly build apps using prebuilt services and deploy them in seconds using various programming languages and tools.
- It provides APIs, services, and tools from IBM and third parties to speed app development. Apps can also integrate with on-premise systems.
- Bluemix offers flexible pricing models including free trials and pay-as-you-go options so developers can start building apps immediately without large upfront costs.
IBM Msp welcome kit francais , Accelerez votre croissancePatrick Bouillaud
Dans le marché hautement concurrentiel des Managed Services Providers et du Cloud, vous pouvez vous démarquer en rejoignant notre programme IBM PartnerWorld MSP, lauréat de nombreuses distinctions.
Marges et génération de demande
Faites équipe avec IBM, explorez notre immense écosystème de partenaires et élargissez votre offre en augmentant vos compétences. Bénéficiez de notre catalogue de solutions adaptées aux MSP : logiciels, matériels et services, ressources et paiement à l’usage.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.