This document compares PCA and LDA techniques. PCA finds directions of maximum variance in data but does not distinguish between inter-class and intra-class variability. LDA finds a subspace that maximizes inter-class variability while minimizing intra-class variability. When training sets are small, PCA can outperform LDA, but LDA generally has lower error rates and works better when there are differences in illumination or expression between faces.
This is part 1 of the Azure storage series, where we will build our understanding of Azure Storage, and will also learn about the storage data services, and the types of Azure Storage. Last but not least, we will also touch base on securing storage accounts
In the second part, we will continue with our demo on creating and utilizing the Azure Storage.
File organization determines how data is arranged and addressed on storage devices to facilitate access. There are two main types - fixed and variable length records. Fixed length records store all records of the same size, making insertion and deletion simple. Variable length records have different sizes, and can be implemented via byte strings or fixed length representations using anchor and overflow blocks. Indexing uses an index table to determine record locations, improving access speed over sequential scanning. Common index types are ordered and hashed indexes.
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.
This document discusses distributed database design and fragmentation techniques. It begins with an outline of topics covered, then describes the design problem of placing data and applications across computer network sites. Primary horizontal fragmentation is explained as fragmenting a relation based on minterm predicates derived from a complete and minimal set of simple predicates describing the relation and application access patterns. An algorithm is provided to determine this fragmentation through several steps including finding the simple predicates, deriving minterm predicates, and eliminating contradictions to form the fragments. An example demonstrates applying this process to fragment relations based on salary and project budget attributes.
RAID (Redundant Array of Independent Disks) connects multiple disks together to increase performance and reliability. It provides increased I/O throughput, data redundancy if a disk fails, and allows data to be restored. The main RAID levels are: RAID 0 uses disk striping for performance but no redundancy; RAID 1 uses mirroring for 100% redundancy; RAID 5 uses disk striping with parity data distributed across all disks. Higher RAID levels like RAID 6 provide even more fault tolerance. The best RAID level depends on performance and reliability needs.
This document discusses distributed systems and their evolution. It defines a distributed system as a collection of networked computers that communicate and coordinate actions by passing messages. Distributed systems have several advantages over centralized systems, including better utilization of resources and the ability to share information among distributed users. The document describes several models of distributed systems including mini computer models, workstation models, workstation-server models, processor pool models, and hybrid models. It also discusses why distributed computing systems are gaining popularity due to their ability to effectively manage large numbers of distributed resources and handle inherently distributed applications.
Our application aims to bring about transparency, clarity and swiftness in the process of donation thus aiming to mitigate prevailing issues in whatever zone it is possible for us to do so. This is a project report for the same.
This document compares PCA and LDA techniques. PCA finds directions of maximum variance in data but does not distinguish between inter-class and intra-class variability. LDA finds a subspace that maximizes inter-class variability while minimizing intra-class variability. When training sets are small, PCA can outperform LDA, but LDA generally has lower error rates and works better when there are differences in illumination or expression between faces.
This is part 1 of the Azure storage series, where we will build our understanding of Azure Storage, and will also learn about the storage data services, and the types of Azure Storage. Last but not least, we will also touch base on securing storage accounts
In the second part, we will continue with our demo on creating and utilizing the Azure Storage.
File organization determines how data is arranged and addressed on storage devices to facilitate access. There are two main types - fixed and variable length records. Fixed length records store all records of the same size, making insertion and deletion simple. Variable length records have different sizes, and can be implemented via byte strings or fixed length representations using anchor and overflow blocks. Indexing uses an index table to determine record locations, improving access speed over sequential scanning. Common index types are ordered and hashed indexes.
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.
This document discusses distributed database design and fragmentation techniques. It begins with an outline of topics covered, then describes the design problem of placing data and applications across computer network sites. Primary horizontal fragmentation is explained as fragmenting a relation based on minterm predicates derived from a complete and minimal set of simple predicates describing the relation and application access patterns. An algorithm is provided to determine this fragmentation through several steps including finding the simple predicates, deriving minterm predicates, and eliminating contradictions to form the fragments. An example demonstrates applying this process to fragment relations based on salary and project budget attributes.
RAID (Redundant Array of Independent Disks) connects multiple disks together to increase performance and reliability. It provides increased I/O throughput, data redundancy if a disk fails, and allows data to be restored. The main RAID levels are: RAID 0 uses disk striping for performance but no redundancy; RAID 1 uses mirroring for 100% redundancy; RAID 5 uses disk striping with parity data distributed across all disks. Higher RAID levels like RAID 6 provide even more fault tolerance. The best RAID level depends on performance and reliability needs.
This document discusses distributed systems and their evolution. It defines a distributed system as a collection of networked computers that communicate and coordinate actions by passing messages. Distributed systems have several advantages over centralized systems, including better utilization of resources and the ability to share information among distributed users. The document describes several models of distributed systems including mini computer models, workstation models, workstation-server models, processor pool models, and hybrid models. It also discusses why distributed computing systems are gaining popularity due to their ability to effectively manage large numbers of distributed resources and handle inherently distributed applications.
Our application aims to bring about transparency, clarity and swiftness in the process of donation thus aiming to mitigate prevailing issues in whatever zone it is possible for us to do so. This is a project report for the same.
Introduction of VLAN and VSAN with its benefits,Dr Neelesh Jain
Introduction of VLAN and VSAN with its benefits, are described in the presentation as per the syllabus of RGPV, BU and MCU for the students of BCA, MCA and B. Tech.
PowerPoint Presentation on Distributed Operating Systems,reasons for opting for distributed systems over centralized systems,types of Distributed Systems,Process Migration and its advantages.
The document provides details about a proposed blood bank management system project including objectives, platforms, technologies used, timelines, functions, hardware/software specifications, data flow, entity relationship and UML diagrams. The system will allow administrators to manage blood banks, donors, patient requests and inquiries online. It will be a web application developed using ASP.NET, C# and SQL Server over 50 days. Key features include donor registration, blood donation, patient requests, blood bank management and location-based search.
This document discusses storage management in database systems. It describes the storage device hierarchy from fastest but smallest (cache) to slowest but largest (magnetic tapes). It covers main memory, hard disks, solid state drives and tertiary storage. The document also discusses RAID configurations and how the relational model is represented on secondary storage through records, blocks, files and indexes.
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.
This document discusses database buffering policies and write-ahead logging. It describes the no-force and no-steal policies, noting advantages like faster commits but also disadvantages like buffers filling with updated pages. The no-steal policy does not write modified blocks until transaction commit, while the steal policy may write blocks even if the transaction has not committed. It also explains that write-ahead logging is needed with steal policies to ensure consistency if a crash occurs, by requiring all log records be written to stable storage before committing a transaction or writing data blocks.
The document discusses various aspects of file systems and storage management in operating systems. It covers topics like file attributes, operations, structures, access methods, directory structures, file sharing, consistency semantics, and protection. File attributes include the file name, size, type and protection attributes. Common file operations are creating, reading, writing and deleting files. Files can have sequential, direct or indexed access methods. Directory structures can be single-level, two-level, tree-structured or graph-based. File sharing requires consistency models like Unix, session or immutable semantics. Protection controls access via access matrices, access control lists or capability lists.
This document is a project report for the development of an online bus reservation system. It includes chapters on introduction, methodology, user and administrator activities, results and discussions, and conclusions. The introduction provides an overview of the current manual bus reservation system and need for an online system. The methodology chapter describes the proposed system, including requirements. User activities would include searching for seats, booking tickets, and payments. Administrator activities would include managing bookings and generating reports. The results section presents screenshots of the system interface including home, routes, cancellation pages. The conclusion states that the system allows customers to book trips online 24/7 and helps the company manage business processes with fewer errors.
This document provides a project report on a Blood Bank Management System. The report includes an introduction that describes the need for such a system and its objectives. It discusses the contents, software and tools used including PHP, HTML, CSS, JavaScript and MySQL. It also covers the feasibility study and requirement analysis. The system design section explains the system development life cycle and provides entity relationship diagrams and data flow diagrams to depict the relationships between data objects and flow of data through the system.
Microsoft Azure is a cloud computing platform that allows users to build, deploy, and manage applications and services through Microsoft-managed data centers. It offers several compute, network, data, and app services to develop applications using any programming language or tool. Key services include virtual machines, web apps, mobile backends, SQL databases, HDInsight Hadoop, caching, backup, and media/messaging capabilities. Azure provides global scale and high availability at a lower cost than traditional infrastructure through a pay-as-you-go model where users only pay for the resources they consume.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
Microsoft Azure is a cloud computing service created by Microsoft that allows users to build, test, deploy and manage applications through a global network of Microsoft-managed data centers. Azure supports many programming languages, tools and frameworks. It offers three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual infrastructure, PaaS provides development platforms and services, and SaaS provides ready-to-use applications. Azure aims to give users control, ease of use and scalability at different levels depending on the service model used.
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
This document provides a software requirements specification for a hostel management system. The system aims to automate hostel operations such as room allotment, bill generation, and maintaining student and employee records. This will help improve data reliability, reduce errors, and allow for faster data access and updating. The system will interface with users via a login screen and homepage. It will require hardware such as PCs and printers, and software such as Windows and Oracle database. The system functions will include maintaining information on residents, rooms, fees, and employees as well as searching, sorting, and retrieving data.
This document discusses key concepts in service composition and orchestration in grid computing. It defines service composition as a grid service that provides new functions by combining existing services. Compositions can be tightly or loosely coupled. Orchestration describes how services interact by coordinating sequences of interactions. The document also discusses platform services, handle resolution, virtual organization management, and service discovery.
The document discusses the logical design of IoT. It describes the key logical design elements including IoT functional blocks, communication models, and communication APIs. The logical design provides an abstract representation of IoT entities and processes without implementation details. The functional blocks provide capabilities for identification, sensing, actuation, communication and management. Common communication models are request-response, publish-subscribe, push-pull and exclusive pair. REST and WebSocket are examples of IoT communication APIs.
The document discusses how exponential data growth is straining centralized cloud infrastructure and driving up costs due to lack of economies of scale. It argues that a more distributed and decentralized approach is needed to better manage and leverage the vast amount of unused capacity at the edge. This includes distributing data across devices, networks, and data centers instead of concentrating it within massive centralized data centers. A hybrid model is proposed that keeps some functions like policy centralized while pushing processing and storage out closer to where the data is created and used.
To mesh or mess up your data organisation - Jochem van Grondelle (Prosus/OLX ...Jochem van Grondelle
Recently the concept of a ‘data mesh’ was introduced by Zhamak Deghani to solve architectural and organizational challenges with getting value from data at scale more logically and efficiently, built around four principles:
* Domain-oriented decentralized data ownership
* Data as a product
* Self-serve data infrastructure as a platform
* Federated computational governance
This presentation will initially deep-dive into the ‘data mesh’ and how it fundamentally differs from the typical data lake architectures used today. Subsequently, it describes OLX Europe’s current data platform state aimed partially towards a more decentralized data architecture, covering its analytical data platform, data infrastructure, data discovery, and data privacy.
Finally, it will see to what extent the main principles around the ‘data mesh’ can be applied to a future vision for our data platform and what advantages and challenges implementing such a vision can bring for OLX and other companies.
For more information on data mesh principles, check out the original article by Zhamak: https://martinfowler.com/articles/data-mesh-principles.html.
Introduction of VLAN and VSAN with its benefits,Dr Neelesh Jain
Introduction of VLAN and VSAN with its benefits, are described in the presentation as per the syllabus of RGPV, BU and MCU for the students of BCA, MCA and B. Tech.
PowerPoint Presentation on Distributed Operating Systems,reasons for opting for distributed systems over centralized systems,types of Distributed Systems,Process Migration and its advantages.
The document provides details about a proposed blood bank management system project including objectives, platforms, technologies used, timelines, functions, hardware/software specifications, data flow, entity relationship and UML diagrams. The system will allow administrators to manage blood banks, donors, patient requests and inquiries online. It will be a web application developed using ASP.NET, C# and SQL Server over 50 days. Key features include donor registration, blood donation, patient requests, blood bank management and location-based search.
This document discusses storage management in database systems. It describes the storage device hierarchy from fastest but smallest (cache) to slowest but largest (magnetic tapes). It covers main memory, hard disks, solid state drives and tertiary storage. The document also discusses RAID configurations and how the relational model is represented on secondary storage through records, blocks, files and indexes.
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.
This document discusses database buffering policies and write-ahead logging. It describes the no-force and no-steal policies, noting advantages like faster commits but also disadvantages like buffers filling with updated pages. The no-steal policy does not write modified blocks until transaction commit, while the steal policy may write blocks even if the transaction has not committed. It also explains that write-ahead logging is needed with steal policies to ensure consistency if a crash occurs, by requiring all log records be written to stable storage before committing a transaction or writing data blocks.
The document discusses various aspects of file systems and storage management in operating systems. It covers topics like file attributes, operations, structures, access methods, directory structures, file sharing, consistency semantics, and protection. File attributes include the file name, size, type and protection attributes. Common file operations are creating, reading, writing and deleting files. Files can have sequential, direct or indexed access methods. Directory structures can be single-level, two-level, tree-structured or graph-based. File sharing requires consistency models like Unix, session or immutable semantics. Protection controls access via access matrices, access control lists or capability lists.
This document is a project report for the development of an online bus reservation system. It includes chapters on introduction, methodology, user and administrator activities, results and discussions, and conclusions. The introduction provides an overview of the current manual bus reservation system and need for an online system. The methodology chapter describes the proposed system, including requirements. User activities would include searching for seats, booking tickets, and payments. Administrator activities would include managing bookings and generating reports. The results section presents screenshots of the system interface including home, routes, cancellation pages. The conclusion states that the system allows customers to book trips online 24/7 and helps the company manage business processes with fewer errors.
This document provides a project report on a Blood Bank Management System. The report includes an introduction that describes the need for such a system and its objectives. It discusses the contents, software and tools used including PHP, HTML, CSS, JavaScript and MySQL. It also covers the feasibility study and requirement analysis. The system design section explains the system development life cycle and provides entity relationship diagrams and data flow diagrams to depict the relationships between data objects and flow of data through the system.
Microsoft Azure is a cloud computing platform that allows users to build, deploy, and manage applications and services through Microsoft-managed data centers. It offers several compute, network, data, and app services to develop applications using any programming language or tool. Key services include virtual machines, web apps, mobile backends, SQL databases, HDInsight Hadoop, caching, backup, and media/messaging capabilities. Azure provides global scale and high availability at a lower cost than traditional infrastructure through a pay-as-you-go model where users only pay for the resources they consume.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
Microsoft Azure is a cloud computing service created by Microsoft that allows users to build, test, deploy and manage applications through a global network of Microsoft-managed data centers. Azure supports many programming languages, tools and frameworks. It offers three main service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual infrastructure, PaaS provides development platforms and services, and SaaS provides ready-to-use applications. Azure aims to give users control, ease of use and scalability at different levels depending on the service model used.
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
This document provides a software requirements specification for a hostel management system. The system aims to automate hostel operations such as room allotment, bill generation, and maintaining student and employee records. This will help improve data reliability, reduce errors, and allow for faster data access and updating. The system will interface with users via a login screen and homepage. It will require hardware such as PCs and printers, and software such as Windows and Oracle database. The system functions will include maintaining information on residents, rooms, fees, and employees as well as searching, sorting, and retrieving data.
This document discusses key concepts in service composition and orchestration in grid computing. It defines service composition as a grid service that provides new functions by combining existing services. Compositions can be tightly or loosely coupled. Orchestration describes how services interact by coordinating sequences of interactions. The document also discusses platform services, handle resolution, virtual organization management, and service discovery.
The document discusses the logical design of IoT. It describes the key logical design elements including IoT functional blocks, communication models, and communication APIs. The logical design provides an abstract representation of IoT entities and processes without implementation details. The functional blocks provide capabilities for identification, sensing, actuation, communication and management. Common communication models are request-response, publish-subscribe, push-pull and exclusive pair. REST and WebSocket are examples of IoT communication APIs.
The document discusses how exponential data growth is straining centralized cloud infrastructure and driving up costs due to lack of economies of scale. It argues that a more distributed and decentralized approach is needed to better manage and leverage the vast amount of unused capacity at the edge. This includes distributing data across devices, networks, and data centers instead of concentrating it within massive centralized data centers. A hybrid model is proposed that keeps some functions like policy centralized while pushing processing and storage out closer to where the data is created and used.
To mesh or mess up your data organisation - Jochem van Grondelle (Prosus/OLX ...Jochem van Grondelle
Recently the concept of a ‘data mesh’ was introduced by Zhamak Deghani to solve architectural and organizational challenges with getting value from data at scale more logically and efficiently, built around four principles:
* Domain-oriented decentralized data ownership
* Data as a product
* Self-serve data infrastructure as a platform
* Federated computational governance
This presentation will initially deep-dive into the ‘data mesh’ and how it fundamentally differs from the typical data lake architectures used today. Subsequently, it describes OLX Europe’s current data platform state aimed partially towards a more decentralized data architecture, covering its analytical data platform, data infrastructure, data discovery, and data privacy.
Finally, it will see to what extent the main principles around the ‘data mesh’ can be applied to a future vision for our data platform and what advantages and challenges implementing such a vision can bring for OLX and other companies.
For more information on data mesh principles, check out the original article by Zhamak: https://martinfowler.com/articles/data-mesh-principles.html.
The document discusses where finance and IT meet and how they can better work together. It proposes three models: 1) increasing cross-learning between finance and IT teams, 2) specializing knowledge but coordinating at senior levels, or 3) a mix of cross-learning foundational knowledge with specialization. The takeaways are that finance needs a common IT language and knowledge base to understand technology potential and work with heterogeneous, integrated systems delivering business needs. The information manager coordinates initially, but finance roles like controllers require significantly more IT literacy.
EMEA10: Trepidation in Moving to the CloudCompTIA UK
Today’s buzz centres on cloud computing. What is it exactly? Will it dent your revenues or does it have potential to add capabilities to your business? How do you deliver value when you don’t “install” anything? Learn how to use this new approach to delivering IT services in your business, what to consider and where it makes sense – and where it doesn’t! Dave Sobel, CEO of Evolve Technologies, talks to you about how to develop cloud offerings and how you position your business for growth around online services. Strategies come from real life experience, industry data, and collaboration with other solution providers to give you the best way to take on the big, bad cloud.
This document discusses the challenges of hybrid cloud environments from a business and IT perspective. It notes that hybrid clouds require forecasting consumption across distributed enterprises and maintaining control of data across multiple cloud environments. The evolving role of the CIO is also discussed, with over a third of CIOs expecting cloud technology to have the most impact. Managing data seamlessly across clouds is considered critical. The document promotes NetApp's Data ONTAP operating system as a solution for unified storage and data management across hybrid cloud environments.
This document summarizes Canada's Compute and Storage Utility cloud computing service. It notes that typically 70% of IT budgets are spent on maintaining existing infrastructure rather than new capabilities. It then outlines the benefits of cloud computing for users, managers, and enterprises. These include automatic scaling, updating, backup, and pay-per-use models. The document discusses VrStorm cloud services including public, private and hybrid cloud options built on Red Hat Enterprise Linux for security and compliance. It analyzes cloud adoption trends and challenges organizations may face in transitioning to cloud services.
This document summarizes Canada's Compute and Storage Utility cloud computing service. It notes that typically 70% of IT budgets are spent on maintaining existing infrastructure rather than new capabilities. It then outlines the benefits of cloud computing for users, managers, and enterprises. These include automatic scaling, updating, backup, and pay-per-use models. The document discusses VrStorm cloud services including enterprise public and private clouds. It analyzes the growing cloud computing market and how governments are adopting cloud solutions to reduce costs. Finally, it addresses some of the challenges of cloud adoption and provides an overview of VrStorm as a cloud partner.
The presentation discusses the rise of cloud computing and data storage. It provides an overview of cloud computing, including definitions of SaaS, PaaS, and IaaS models. Factors enabling cloud computing include increased parallelism, virtualization, and outsourcing. The document also discusses the growth of data usage and storage needs, as well as the data storage industry and key players in cloud computing. It concludes that cloud computing is driving increased data storage demands and opportunities for investment.
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Optimizing Healthcare with Sphere3D VDI and Containerization Mark A Watts
Virtualize 2015, Oct 29, 2015. Healthcare delivery systems can be transformed by use of Containerization and Secure Virtual Desktop Distribution of Applications. The rapid spin up and flexible distributed high performing end customer user experience would be a stark contrast to today's complex bloated disappointing offerings. EMR costs and failed deployments have made the digitization of healthcare the only industry to lose productivity in this transformation.
- The speaker observes trends in how research infrastructure is changing more rapidly than IT can refresh systems, creating challenges. This includes new instruments generating vastly more data.
- There is a blurring of roles between scientists, sysadmins, and programmers as everything becomes more automated and "scriptable." Sysadmins must learn programming and researchers can now self-provision resources.
- Virtualization is widely used even in HPC to provide flexibility and address business needs. Very large "fat node" servers are replacing clusters of smaller nodes. Local disk is coming back as a hedge against big data requirements.
- Object storage is becoming more viable and approachable on commodity hardware for a
Red Hat Summit 2018 - 3 pitfalls everyone should avoid with hybrid multicloudEric D. Schabell
The daily hype is all around you. From cloud, hybrid cloud, to hybrid multicloud, you’re told this is the way to ensure a digital future for your business. These choices you’ve got to make don’t preclude the daily work of enhancing your customer's experience and agile delivery of those applications. Let us take you on a journey, looking closely at what hybrid multicloud means for your business, the decisions being made about delivering applications, and dealing with legacy applications, likely the most important resources to your business. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as they transitioned into hybrid multicloud environments.
https://docs.google.com/presentation/d/1_MFHY3YJyvz-qrJfOZKDJ_dwTLhd2WxpQGFWxd34r5s
Mini-course "Practices of the Web Giants" at Global Code - São PauloOCTO Technology
The document discusses innovations and practices of major tech companies, known as web giants. It describes how these companies have scaled their infrastructure to be bigger, faster, and better through automation, continuous deployment, and moving processing to data rather than moving data. These companies pioneered approaches like MapReduce, NoSQL databases, and open source software to efficiently handle large amounts of data and users on commodity hardware.
This document discusses cloud computing and provides examples of different cloud models. It defines cloud computing as data and applications existing on remote servers accessed over the internet. It outlines various cloud service models like software as a service. The document also cautions that while cloud computing offers benefits, it can also exacerbate organizational issues and conflict with outdated policies if not implemented carefully. It concludes by presenting different models for how organizations can leverage and own cloud resources.
The document discusses how the mainframe remains relevant despite predictions that it would become obsolete. It provides examples of how the mainframe continues to process a large volume of transactions and data efficiently. It then summarizes IBM's DevOps solutions for modernizing mainframe development and discusses how technologies like blockchain, analytics and APIs can help expose mainframe capabilities and drive innovation.
Cloud services are critical sources of speed and agility, and have evolved beyond the simple benefits of cost reduction. Cloud helps companies profit from disruption by allowing innovation in both the front and back office.
This Digital Realty webinar features Michael Bohlig (@bohlig), KC Mares (@kcmares) and Forrester Principal Analyst Dave Bartoletti (@davebartoletti).
For more information visit http://www.digitalrealty.com
Data Virtualization to Survive a Multi and Hybrid Cloud WorldDenodo
Watch full webinar here:https://buff.ly/2Edqlpo
Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.
In this session, you will learn:
*Key challenges of migration to the cloud in a complex data landscape
*How data virtualization can help build a data driven, multi-location cloud architecture for real time integration
*How customers are taking advantage of data virtualization to save time and costs with limited resources
Cryptographie avancée et Logical Data Fabric : Accélérez le partage et la mig...Denodo
Watch full webinar here: https://bit.ly/3xWXuSN
Malgré le besoin croissant d'agilité, les entreprises restent réticientes à héberger leur données sensibles dans le Cloud pour des raisons de sécurité. Par ailleurs, le chiffrement basique ne suffit plus, car masquer la donnée ou la fournir de façon partielle empêche son utilisation.
La cryptographie avancée associée à la Logical Data Fabric constitue un duo gagnant pour intensifier l’utilisation de ces données sensibles dans le Cloud tout en garantissant le maximum de sécurité et de confidentialité. D’une part, la Logical Data Fabric permet aux organisations ayant un écosystème hybride d’accéder à l’ensemble de leur patrimoine data en temps réel tout en étalissant des politiques de sécurité, alors que la cryptographie avancée permet de stocker les données chiffrées dans le cloud, même pendant son utilisation, tout en y incluant des droits d’accès.
Rejoignez ce webinar pour découvrir :
- Les enjeux d’accès et de partage des données dans les environnements hybrides et multiclouds.
- Comment la Logical Data Fabric de Denodo simplifie l’adoption du Cloud grâce à un point unique d’accès à la donnée tout en fournissant une couche de sécurité et de gouvernance.
- Comment les fonctionnalités avancées de la cryptographie de Cosmian se différencient des approches traditionnelles de chiffrement.
- Une démo live sur comment la cryptographie applicative permet de créer des politiques de sécurité et d’accès aux données dans des environnements zéro trust.
IBM Storage at the Incisive Media, IT Leaders Forum with Computing.co.ukMatt Fordham
This document summarizes IBM's storage solutions for the cognitive era. It notes that digital businesses are disrupting industries and that today's leaders recognize gaps in their digital capabilities. It then provides statistics on the massive amount of data being created every day and discusses the need for hybrid cloud and cognitive solutions. The rest of the document describes IBM's storage portfolio and how it provides capabilities like unstructured data management, application acceleration, and business critical reliability to enable a cognitive enterprise. It positions IBM as the leader in software defined storage and analytics and discusses how IBM's solutions can help customers modernize their infrastructure for the cognitive era.
Similar to The Distributed & Decentralized Cloud (20)
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
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.
2. How much digital data are
we creating every second?
www.symform.com
3. It’s all about the data
➡58 Gigabytes of data
created every second
➡35 Zettabytes of digitally
stored data by 2020
➡ That’s enough data to fill a
stack of DVDs reaching
from the Earth to the
moon and back — about
240,000 miles each way.
33
5. Only one problem
Cloud is powered by massive centralized
infrastructure
5
6. Cloud driving massive data center build out
Over 500,000 data
centers worldwide
covering 290m sqft or
6,000 football fields
66
7. What percentage of North
American energy consumption do
those data centers account for?
www.symform.com
8. Issues with over centralization
➡ Have to build for peak usage; excess capacity lying idle
➡ Power consumption issues
• 2% of North American energy consumption goes to servers and data
centers
• 2% of global carbon footprint is data centers used to power cloud
computing
• Google uses 260 million watts continuously across the globe --
equivalent to the power used by all the homes and businesses in a city of
200,000 people.
➡ Energy grid management
➡ Potential security and physical vulnerabilities (e.g. fire)
➡ Costs - data centers are expensive to build and maintain
➡ Bandwidth bottlenecks
8 8
10. Good news . . .
The Internet is already highly distributed
Internet Users by Country
Billions of devices sitting on the edge
Data distributed across devices,
10
networks, data centers, and geos
11. You are already using distributed systems
Cloud Computing is driving distributed models:
➡ Multi-tenant architecture
➡ Distributed database
➡ Virtualization
➡ Multi-threading
➡ Multi-core CPUs
➡ Parallel processing
➡ Distributed file systems
➡ Distributed Load Balancing
➡ RAID algorithms
11
12. And we’re realizing benefits
➡ System or process optimization
➡ Improved performance - faster
➡ Increased reliability & fault tolerance
➡ Lower costs
➡ Increased efficiencies
➡ Easier scalability or expansion
➡ Continuous or near continuous operations
12
12
13. What’s the largest distributed &
decentralized system
in the world?
www.symform.com
14. Distributed alone is not enough . . .
Distributed only will not keep up with our data growth
Still heavily
based on
centralized
models with
distributed
components
14
15. Need to go beyond distributed to decentralized
Why?
Unused instances
Over provisioning
Under use of reserved instances
Orphaned services
Millions of dollars invested and wasted
Contributing source: Mat Ellis
15
16. How to think about Decentralization
➡ No central hub or owner
➡ Power of large numbers
➡ Organic, demand driven growth in capacity
➡ Leverages existing infrastructure and devices on edge
➡ Shared information
➡ Concept of ―Contribution‖ to the community
➡ Assume everyone / every node is ―untrusted‖
➡ Geographic spread of:
• Ownership & participation
• Costs
• Management overhead
• Risks
16 16
17. Good news . . .
There are good
examples of
decentralization
today
17 17
18. Do you have an example of
a decentralized system?
www.symform.com
19. Decentralized Development
Open Source Movement
Programmers who support the
➡ Linux – a Unix-Based operating system open source movement philosophy
contribute to the open
➡ Apache — a leading server software and
scripting language on the web source community by voluntarily
writing and exchanging
➡ MySQL — a database management system
programming code for software
➡ PHP — a widely used open source general- development.
purpose scripting language
➡ Blender — a 3D graphics and animation
software
➡ OpenOffice.org – an office suite software
with word processor, spreadsheet, and
presentation capabilities
➡ Mozilla — a web browser and e-mail client
➡ Perl — a programming/scripting language
➡ Wikipedia — Online encyclopedia open for
anyone to update and revise content
19 19
20. Decentralized Communications
Skype is the largest telephone
company in the world but has
almost no centralized infrastructure
20
21. Decentralized Processing
Search for
extraterrestrial
intelligence (SETI)
World
Community
Grid
21
22. Decentralized Cloud Storage
What if we aggregated all the unused capacity across servers,
desktops and storage devices on the edge of the Internet to build a
global storage network?
22
23. Decentralized IT budgets
Alas . . . Also already here
➡ CMOs often have as much IT purchasing power as CIOs
➡ Employees are buying rogue platforms, applications and devices
23 23
24. Whoa! . . . ―This is chaos for enterprise IT‖
24 24
25. Doesn’t mean loss of centralized control or IT power
What Stays Centralized?
➡ IT Policy and governance
➡ Security and compliance mandates
➡ Definition of ―trust‖
➡ API management
➡ Shared services (SOA)
➡ Vendor evaluation guidelines
➡ Data analysis aggregation (search, e-discovery & reporting)
25 25
26. We are still in early stages
Issues with decentralization
➡ Desire for Control
➡ Geo-political differences
➡ Random expertise
➡ Data security and encryption
➡ Integration
➡ Need more open API’s
➡ Consistent Quality of Service
26 26
28. We still need data centers
Data centers are ideal for:
➡ High volume, low latency
transactions
➡ Data warehousing
➡ Search
28 28
29. But we can look for opportunities
To Leverage Distributed & Decentralized Models
➡ Assumption of ―untrusted‖ should be your security
principle today
➡ Worry less about where the data is and on how to control
access
➡ Be the source of centralized policy and governance
29
33. Thank You
margaret@symform.com
praerit@symform.com
CloudNOW Cloud Connect
Advisory Council Advisory Council
www.symform.com
Editor's Notes
Do we have enough data centers to fit? Can we build them fast enough to stay ahead of demand?Simple back of the envelope math shows the problem. If we were to store the 0.8 ZB of storage today in Google (assuming their 1M servers) we would need a 160 Google’s. In 2015, Google will obviously grow, but even if they quadrupled we would need 450 Google’s.This approach is just not sustainable.
Reduce function: Chopping something into pieces: data, processes, applicationsDistribution function: Spreading those pieces across multiple systemsResource sharingParallel executions