This document summarizes a research paper on desktop virtualization using Software as a Service (SaaS) architecture. It proposes a system called Yet Another Desktop Virtualization (YADV) that provides desktop virtualization more efficiently by optimizing network bandwidth usage and reducing application overhead at the client side. YADV uses the OpenStack cloud computing platform to virtualize desktop operating system instances in the data center and allow users to access applications and desktops through thin client devices. It customizes operating system disk images and implements application streaming to only deliver specific applications rather than the entire desktop interface to clients. Evaluation shows YADV provides better quality of service and more efficient resource allocation than traditional desktop virtualization methods.
Implementation of the Open Source Virtualization Technologies in Cloud Computingijccsa
The “Virtualization and Cloud Computing” is a recent buzzword in the digital world. Behind this fancy
poetic phrase there lies a true picture of future computing for both in technical and social perspective.
Though the “Virtualization and Cloud Computing are recent but the idea of centralizing computation and
storage in distributed data centres maintained by any third party companies is not new but it came in way
back in 1990s along with distributed computing approaches like grid computing, Clustering and Network
load Balancing. Cloud computing provide IT as a service to the users on-demand basis. This service has
greater flexibility, availability, reliability and scalability with utility computing model. This new concept of
computing has an immense potential in it to be used in the field of e-governance and in the overall IT
development perspective in developing countries like Bangladesh.
This document summarizes different types of virtualization technologies including hardware virtualization, presentation virtualization, and desktop virtualization. Hardware virtualization uses software to create virtual machines that emulate physical computers, allowing multiple operating systems to run simultaneously on one physical machine. Presentation virtualization separates an application's user interface from the physical machine it runs on. Desktop virtualization addresses issues like application incompatibility with operating systems by running older operating systems in a virtual machine.
This document contains a presentation on cloud computing concepts and Microsoft Azure. It discusses what cloud computing is, examples of cloud architectures like processing pipelines and websites, benefits of cloud computing like reduced costs and scalability, and an overview of Microsoft Azure including its features and how to deploy applications to Azure.
This document discusses whether Windows Azure is the right cloud platform. It covers why cloud computing is beneficial as a utility service model, why Microsoft is well-positioned in the cloud with its breadth of offerings across platforms, and what types of scenarios are well-suited for the Windows Azure platform, such as applications with changing loads or seasonal usage patterns. It also addresses some challenges with cloud like data security and outlines steps to evaluate and adopt cloud computing like identifying opportunities, calculating total cost of ownership, and conducting proof of concepts.
Build new applications or extend your existing applications into the cloud using familiar technology and tools in new ways to achieve web-capable scalability. Focus on building solutions—let Windows® Azure™ manage the infrastructure.
System Center 2012 allows organizations to manage their private and public cloud resources from a single interface by integrating existing IT assets into a private cloud and complementing it with public cloud services. It enables businesses to deliver flexible infrastructure using their existing resources, gain insights into application performance to address issues proactively, and provide self-service access to infrastructure and applications across hybrid clouds.
This document discusses VMware's vCloud Suite, a cloud infrastructure suite that aims to simplify IT operations. It delivers components for storage, networking, security, and availability in one SKU. It also discusses licensing changes, highlights for SMB and mid-size customers, and current promotions. The promotions include free VMware Go Pro support for SMB customers and discounts on upgrades to the vCloud Suite and vSphere Standard with Operations Management. The document encourages attendees to take advantage of these limited-time promotions.
Virtualization allows a single computer to run multiple virtual machines simultaneously. This allows developers to easily create and restore test environments. It also enables demonstrators to maintain separate demo environments. Virtual machine snapshots can be easily saved and shared between computers, benefiting developers, demonstrators, and home users. However, virtualization performance declines as more virtual machines are run simultaneously on a single computer.
Implementation of the Open Source Virtualization Technologies in Cloud Computingijccsa
The “Virtualization and Cloud Computing” is a recent buzzword in the digital world. Behind this fancy
poetic phrase there lies a true picture of future computing for both in technical and social perspective.
Though the “Virtualization and Cloud Computing are recent but the idea of centralizing computation and
storage in distributed data centres maintained by any third party companies is not new but it came in way
back in 1990s along with distributed computing approaches like grid computing, Clustering and Network
load Balancing. Cloud computing provide IT as a service to the users on-demand basis. This service has
greater flexibility, availability, reliability and scalability with utility computing model. This new concept of
computing has an immense potential in it to be used in the field of e-governance and in the overall IT
development perspective in developing countries like Bangladesh.
This document summarizes different types of virtualization technologies including hardware virtualization, presentation virtualization, and desktop virtualization. Hardware virtualization uses software to create virtual machines that emulate physical computers, allowing multiple operating systems to run simultaneously on one physical machine. Presentation virtualization separates an application's user interface from the physical machine it runs on. Desktop virtualization addresses issues like application incompatibility with operating systems by running older operating systems in a virtual machine.
This document contains a presentation on cloud computing concepts and Microsoft Azure. It discusses what cloud computing is, examples of cloud architectures like processing pipelines and websites, benefits of cloud computing like reduced costs and scalability, and an overview of Microsoft Azure including its features and how to deploy applications to Azure.
This document discusses whether Windows Azure is the right cloud platform. It covers why cloud computing is beneficial as a utility service model, why Microsoft is well-positioned in the cloud with its breadth of offerings across platforms, and what types of scenarios are well-suited for the Windows Azure platform, such as applications with changing loads or seasonal usage patterns. It also addresses some challenges with cloud like data security and outlines steps to evaluate and adopt cloud computing like identifying opportunities, calculating total cost of ownership, and conducting proof of concepts.
Build new applications or extend your existing applications into the cloud using familiar technology and tools in new ways to achieve web-capable scalability. Focus on building solutions—let Windows® Azure™ manage the infrastructure.
System Center 2012 allows organizations to manage their private and public cloud resources from a single interface by integrating existing IT assets into a private cloud and complementing it with public cloud services. It enables businesses to deliver flexible infrastructure using their existing resources, gain insights into application performance to address issues proactively, and provide self-service access to infrastructure and applications across hybrid clouds.
This document discusses VMware's vCloud Suite, a cloud infrastructure suite that aims to simplify IT operations. It delivers components for storage, networking, security, and availability in one SKU. It also discusses licensing changes, highlights for SMB and mid-size customers, and current promotions. The promotions include free VMware Go Pro support for SMB customers and discounts on upgrades to the vCloud Suite and vSphere Standard with Operations Management. The document encourages attendees to take advantage of these limited-time promotions.
Virtualization allows a single computer to run multiple virtual machines simultaneously. This allows developers to easily create and restore test environments. It also enables demonstrators to maintain separate demo environments. Virtual machine snapshots can be easily saved and shared between computers, benefiting developers, demonstrators, and home users. However, virtualization performance declines as more virtual machines are run simultaneously on a single computer.
Windows Azure David Chappell White Paper March 09guest120d945
This document introduces Windows Azure, a platform for building and hosting scalable cloud applications and services. It provides an overview of the main components of Windows Azure, including the Compute service for running applications, the Storage service for persistent data, and the underlying Fabric for management. It then discusses scenarios for using Windows Azure, such as creating scalable web applications, parallel processing applications, and applications with background processing. Finally, it examines the components in more detail regarding development, the compute and storage services, and the fabric.
This document discusses cloud computing, defining it as a computing platform that provides dynamic resource pools, virtualization, and high availability. It outlines the key benefits of cloud computing such as reduced costs through improved utilization and faster deployment cycles. The document also defines clouds and cloud applications, explaining that cloud computing dynamically provisions, configures, and deprovisions servers as needed to host web applications accessible over the internet.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially only supported Python but now also supports Java. Users can deploy standard Java web applications to Google App Engine, which will handle the infrastructure. This provides scalability without upfront costs.
A Multi-tenant Architecture for Business Process ExecutionsSrinath Perera
1) A multi-tenant architecture is proposed for hosting business process workflows as a service in the cloud. The architecture extends Apache ODE with a multi-tenant process store and isolation at message reception to support multiple tenants.
2) Each tenant has their own isolated process store and services, providing data and execution isolation. Performance isolation is achieved through monitoring and prioritizing processes.
3) The architecture enables users to deploy existing workflows to the cloud without changes, lowering the cost of using workflows and increasing resource sharing.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
This document discusses security challenges in cloud computing. It describes the three major types of cloud computing services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document then examines some key security issues in cloud computing environments and existing countermeasures. It outlines the benefits of cloud computing such as flexible resources, reduced costs, and access to powerful infrastructure. However, it also notes security remains an important concern as different users share cloud systems and resources.
The document compares features of Windows Server 2008 R2 Hyper-V and Windows Server 2012 Hyper-V related to multitenancy, security, and isolation. Windows Server 2012 Hyper-V provides fully isolated virtual networks, private virtual LANs, DHCP guard, router guard, and an extensible switch for greater security and isolation of tenant workloads and networks. It also allows for monitoring extensions on the extensible switch for increased visibility.
with 100 Mbps capacity each. During the event, we observed the
traffic demands of each SDTN, and dynamically changed the
1) The document proposes a novel Software Defined Transport Network amount of resources allocated to each SDTN according to the
(SDTN) architecture that enables network virtualization and demands. This demonstrated the dynamic resource allocation
programmability at the transport layer, allowing multiple virtual mechanism.
networks to coexist on a shared multi-layer network infrastructure. 3) Network failure recovery: We also conducted an experiment of
failure recovery at the transport layer. By letting the SDTNs to
2) Key aspects of the architecture include a Physical
Citrix made four announcements on April 9, 2007 regarding application and desktop delivery: 1) urging customers to focus on application delivery infrastructure, 2) unveiling its application delivery strategy, 3) releasing NetScaler 8.0 to optimize web application delivery, and 4) releasing Desktop Server to deliver virtual desktops from the datacenter.
This document proposes improving infrastructure as a service (IaaS) cloud computing by overlapping on-demand resource allocation with opportunistic provisioning of cycles from idle cloud nodes. It extends the Nimbus cloud computing toolkit to deploy backfill virtual machines on idle nodes for high throughput computing workloads. Evaluation shows backfill VMs can increase cloud infrastructure utilization from 38.5% to 100% with only 6.39% overhead for processing workloads, benefiting both cloud providers and users.
Canonical and VMware have collaborated to create a reference architecture for deploying OpenStack while limiting changes to existing VMware vSphere infrastructure. The summary describes deploying OpenStack services as virtual machines within vSphere clusters to provide high availability while minimizing changes. It maintains the existing VMware environment for proof of concept or familiarization with OpenStack APIs before integrating multiple hypervisors or fully adopting OpenStack.
CTU June 2011 - Enterprise Desktop Virtualisation with Microsoft and CitrixSpiffy
This document discusses enterprise desktop virtualization solutions using Microsoft and Citrix technologies. It provides an overview of Citrix and Microsoft virtualization platforms and licensing models. It also summarizes the key components of delivering and managing virtual desktop infrastructure (VDI), including XenDesktop and XenApp for desktop and application delivery, Microsoft VDI suites for licensing, and System Center for management. Finally, it briefly discusses supported end user devices for connecting to virtual desktops and applications.
The document summarizes key aspects of cloud computing implementation. It discusses benefits like instant availability, unlimited capacity, and dramatic cost reduction provided by cloud computing. It also describes different types of cloud deployments like public, private and hybrid clouds. Additionally, it outlines important considerations and building blocks for organizations to adopt cloud technologies like open source tools, virtualization, infrastructure tools, and choosing solutions that allow flexibility and efficiency through standards.
Basics of Cloud Computing and tools required to get into the cloud world. Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
The document introduces warehouse-scale computers (WSCs), which are the computing platforms that power large Internet services like search engines and social networks. WSCs consist of thousands of computing nodes, networking equipment, storage systems, and extensive cooling and power infrastructure housed in large buildings. They differ from traditional datacenters in that they belong to a single organization, use homogeneous hardware and software platforms, and share resource management to run a small number of very large Internet services rather than many smaller applications. The document provides an overview of the key architectural components of WSCs and how their design is optimized for cost efficiency at massive scale.
At this year's FOSE 2011 conference, Government Computer News (GCN) awarded Phantom Virtual Tap the Best of FOSE / Best Networking Product for Government award. The Tap delivers unprecedented total visibility into formerly murky traffic passing between VMs on hypervisor stacks. With its ability to tap traffic between virtual servers (VMs) on a physical server, the Phantom Virtual Tap heralds a new era of network compliance, management, and security for virtualized data centers.
Presented by Net Optics' Senior Solutions Engineer, David Pham, this webinar will briefly introduce you to the Phantom Virtual Tap as well as provide insight into some of the security and compliance challenges created by data center virtualiztion. Additionally:
Advantages of gaining visibility into your virtualized network infrastructure
How to eliminate visibility challenges in the virtual network
Provide attendees the opportunity to learn more about this new technology
1) The document discusses the transition from traditional data centers to cloud computing through three phases - classic data center, virtual data center, and cloud. It describes the components and characteristics of each phase.
2) Virtualization is a key concept in cloud computing that allows multiple operating systems to run simultaneously on physical machines. Virtual machines are logical files that act like physical machines.
3) Security is an important challenge in cloud computing. Virtual machines can be targets for theft so proper security measures like authentication, access control, and antivirus software are needed between physical and virtual machines.
This paper proposes a novel adaptive filter for removing salt and pepper noise from images using fuzzy logic. The filter has two stages: detection and filtering. In the detection stage, a 3x3 pixel window is used to identify noisy pixels. Pixels with maximum or minimum intensities are identified as salt or pepper noise. In the filtering stage, the detected noisy pixels are passed through merge scanning and histogram processing to remove noise while preserving image details. Simulation results on standard test images show the filter can remove up to 95% salt and pepper noise while maintaining high PSNR and processing speed.
This document summarizes a research paper on determining noise levels in noisy speech signals. It discusses extracting amplitude modulation spectrogram (AMS) features from noisy speech segments and classifying them as noise-dominated or signal-dominated using Bayes' classifier. The classified features are reconstructed using overlap-and-add to estimate the signal-to-noise ratio between the original clean speech and reconstructed speech, and between the original clean speech and noisy speech. The paper presents results on speech segments corrupted with different noises, showing SNR is reduced between the original clean and reconstructed speech compared to the original clean and noisy speech.
Windows Azure David Chappell White Paper March 09guest120d945
This document introduces Windows Azure, a platform for building and hosting scalable cloud applications and services. It provides an overview of the main components of Windows Azure, including the Compute service for running applications, the Storage service for persistent data, and the underlying Fabric for management. It then discusses scenarios for using Windows Azure, such as creating scalable web applications, parallel processing applications, and applications with background processing. Finally, it examines the components in more detail regarding development, the compute and storage services, and the fabric.
This document discusses cloud computing, defining it as a computing platform that provides dynamic resource pools, virtualization, and high availability. It outlines the key benefits of cloud computing such as reduced costs through improved utilization and faster deployment cycles. The document also defines clouds and cloud applications, explaining that cloud computing dynamically provisions, configures, and deprovisions servers as needed to host web applications accessible over the internet.
Cloud computing allows users to run web applications on large providers' infrastructure instead of their own servers. Google App Engine is one such platform that is free up to a certain level of usage. It initially only supported Python but now also supports Java. Users can deploy standard Java web applications to Google App Engine, which will handle the infrastructure. This provides scalability without upfront costs.
A Multi-tenant Architecture for Business Process ExecutionsSrinath Perera
1) A multi-tenant architecture is proposed for hosting business process workflows as a service in the cloud. The architecture extends Apache ODE with a multi-tenant process store and isolation at message reception to support multiple tenants.
2) Each tenant has their own isolated process store and services, providing data and execution isolation. Performance isolation is achieved through monitoring and prioritizing processes.
3) The architecture enables users to deploy existing workflows to the cloud without changes, lowering the cost of using workflows and increasing resource sharing.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
This document discusses security challenges in cloud computing. It describes the three major types of cloud computing services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document then examines some key security issues in cloud computing environments and existing countermeasures. It outlines the benefits of cloud computing such as flexible resources, reduced costs, and access to powerful infrastructure. However, it also notes security remains an important concern as different users share cloud systems and resources.
The document compares features of Windows Server 2008 R2 Hyper-V and Windows Server 2012 Hyper-V related to multitenancy, security, and isolation. Windows Server 2012 Hyper-V provides fully isolated virtual networks, private virtual LANs, DHCP guard, router guard, and an extensible switch for greater security and isolation of tenant workloads and networks. It also allows for monitoring extensions on the extensible switch for increased visibility.
with 100 Mbps capacity each. During the event, we observed the
traffic demands of each SDTN, and dynamically changed the
1) The document proposes a novel Software Defined Transport Network amount of resources allocated to each SDTN according to the
(SDTN) architecture that enables network virtualization and demands. This demonstrated the dynamic resource allocation
programmability at the transport layer, allowing multiple virtual mechanism.
networks to coexist on a shared multi-layer network infrastructure. 3) Network failure recovery: We also conducted an experiment of
failure recovery at the transport layer. By letting the SDTNs to
2) Key aspects of the architecture include a Physical
Citrix made four announcements on April 9, 2007 regarding application and desktop delivery: 1) urging customers to focus on application delivery infrastructure, 2) unveiling its application delivery strategy, 3) releasing NetScaler 8.0 to optimize web application delivery, and 4) releasing Desktop Server to deliver virtual desktops from the datacenter.
This document proposes improving infrastructure as a service (IaaS) cloud computing by overlapping on-demand resource allocation with opportunistic provisioning of cycles from idle cloud nodes. It extends the Nimbus cloud computing toolkit to deploy backfill virtual machines on idle nodes for high throughput computing workloads. Evaluation shows backfill VMs can increase cloud infrastructure utilization from 38.5% to 100% with only 6.39% overhead for processing workloads, benefiting both cloud providers and users.
Canonical and VMware have collaborated to create a reference architecture for deploying OpenStack while limiting changes to existing VMware vSphere infrastructure. The summary describes deploying OpenStack services as virtual machines within vSphere clusters to provide high availability while minimizing changes. It maintains the existing VMware environment for proof of concept or familiarization with OpenStack APIs before integrating multiple hypervisors or fully adopting OpenStack.
CTU June 2011 - Enterprise Desktop Virtualisation with Microsoft and CitrixSpiffy
This document discusses enterprise desktop virtualization solutions using Microsoft and Citrix technologies. It provides an overview of Citrix and Microsoft virtualization platforms and licensing models. It also summarizes the key components of delivering and managing virtual desktop infrastructure (VDI), including XenDesktop and XenApp for desktop and application delivery, Microsoft VDI suites for licensing, and System Center for management. Finally, it briefly discusses supported end user devices for connecting to virtual desktops and applications.
The document summarizes key aspects of cloud computing implementation. It discusses benefits like instant availability, unlimited capacity, and dramatic cost reduction provided by cloud computing. It also describes different types of cloud deployments like public, private and hybrid clouds. Additionally, it outlines important considerations and building blocks for organizations to adopt cloud technologies like open source tools, virtualization, infrastructure tools, and choosing solutions that allow flexibility and efficiency through standards.
Basics of Cloud Computing and tools required to get into the cloud world. Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
The document introduces warehouse-scale computers (WSCs), which are the computing platforms that power large Internet services like search engines and social networks. WSCs consist of thousands of computing nodes, networking equipment, storage systems, and extensive cooling and power infrastructure housed in large buildings. They differ from traditional datacenters in that they belong to a single organization, use homogeneous hardware and software platforms, and share resource management to run a small number of very large Internet services rather than many smaller applications. The document provides an overview of the key architectural components of WSCs and how their design is optimized for cost efficiency at massive scale.
At this year's FOSE 2011 conference, Government Computer News (GCN) awarded Phantom Virtual Tap the Best of FOSE / Best Networking Product for Government award. The Tap delivers unprecedented total visibility into formerly murky traffic passing between VMs on hypervisor stacks. With its ability to tap traffic between virtual servers (VMs) on a physical server, the Phantom Virtual Tap heralds a new era of network compliance, management, and security for virtualized data centers.
Presented by Net Optics' Senior Solutions Engineer, David Pham, this webinar will briefly introduce you to the Phantom Virtual Tap as well as provide insight into some of the security and compliance challenges created by data center virtualiztion. Additionally:
Advantages of gaining visibility into your virtualized network infrastructure
How to eliminate visibility challenges in the virtual network
Provide attendees the opportunity to learn more about this new technology
1) The document discusses the transition from traditional data centers to cloud computing through three phases - classic data center, virtual data center, and cloud. It describes the components and characteristics of each phase.
2) Virtualization is a key concept in cloud computing that allows multiple operating systems to run simultaneously on physical machines. Virtual machines are logical files that act like physical machines.
3) Security is an important challenge in cloud computing. Virtual machines can be targets for theft so proper security measures like authentication, access control, and antivirus software are needed between physical and virtual machines.
This paper proposes a novel adaptive filter for removing salt and pepper noise from images using fuzzy logic. The filter has two stages: detection and filtering. In the detection stage, a 3x3 pixel window is used to identify noisy pixels. Pixels with maximum or minimum intensities are identified as salt or pepper noise. In the filtering stage, the detected noisy pixels are passed through merge scanning and histogram processing to remove noise while preserving image details. Simulation results on standard test images show the filter can remove up to 95% salt and pepper noise while maintaining high PSNR and processing speed.
This document summarizes a research paper on determining noise levels in noisy speech signals. It discusses extracting amplitude modulation spectrogram (AMS) features from noisy speech segments and classifying them as noise-dominated or signal-dominated using Bayes' classifier. The classified features are reconstructed using overlap-and-add to estimate the signal-to-noise ratio between the original clean speech and reconstructed speech, and between the original clean speech and noisy speech. The paper presents results on speech segments corrupted with different noises, showing SNR is reduced between the original clean and reconstructed speech compared to the original clean and noisy speech.
This document discusses determining noise levels in noisy speech signals. It presents the following:
1) Amplitude modulation spectrogram (AMS) features are extracted from noisy speech segments and classified as noise-dominated or signal-dominated using Bayes' classifier.
2) The classified features are reconstructed using overlap-and-add to obtain a reconstructed speech segment.
3) The signal-to-noise ratio (SNR) is calculated between the reconstructed speech segment and the original noises, as well as between the clean speech signal and noisy speech segment.
The document discusses the design and verification of an eight port router for a network on chip (NOC). It begins with an introduction to NOC architectures and the importance of efficiently designing routers as the central component. It then describes the proposed eight port router design in detail, including its store-and-forward switching mechanism, rotating priority arbitration, and use of input and output buffering to avoid congestion. Finally, the document outlines the verification methodology used, including system Verilog and the open verification methodology (OVM) to build a reusable verification testbench.
This document summarizes a research paper on implementing heterogeneous interface mobile nodes in the NS2 network simulator. The paper discusses adding multiple WiFi and WiMAX interfaces to a mobile node individually, and then a heterogeneous interface combining both WiFi and WiMAX. It reviews related work on 4G networks and multiple interfaces. Implementation details are provided on creating homogeneous WiFi and WiMAX interfaces in NS2, including trace file and network animator outputs. Challenges are noted in implementing a heterogeneous interface on a single node due to NS2 limitations. An alternative approach of using separate nodes for each interface is proposed to simulate a mobile node with multiple heterogeneous interfaces.
This document summarizes a proposed scheme called 2ACK for detecting routing misbehavior in mobile ad hoc networks (MANETs) that use the Optimized Link State Routing (OLSR) protocol. The 2ACK scheme involves sending two-hop acknowledgments in the opposite direction of the routing path to detect if any nodes are dropping packets instead of forwarding them as they should. Selfish nodes that refuse to forward packets can reduce network performance. The 2ACK scheme aims to identify these misbehaving nodes in order to improve routing reliability and efficiency in MANETs.
This document provides an overview and analysis of various image smoothing techniques. It begins with an introduction to image smoothing and its importance in digital image processing. Then, it analyzes several common image smoothing algorithms in detail, including Gaussian smoothing, edge-preserved filtering, bilateral filtering, optimization-based image filtering, non-linear diffusion filtering, robust smoothing filtering, gradient weighting filtering, and guided image filtering. For each algorithm, it explains the underlying concepts and mathematical principles. It finds that appropriate choice of smoothing techniques depends on factors like the imaging modality, noise characteristics, and task requirements. The document aims to provide insights into widely used image smoothing approaches.
This document summarizes an intelligent system for detecting, modeling, and classifying human behavior using image processing, machine vision, and OpenCV. The proposed system aims to add intelligence to traditional surveillance systems by not only capturing video but also assisting in detecting malicious activities. Key steps include background subtraction, segmentation, tracking, and analyzing human behavior to detect events like trespassing, loitering, or abandoned bags. The system architecture involves frame detection, background removal, detecting and tracking humans, and capturing suspicious frames. Background subtraction methods like frame differencing, averaging, and Gaussian mixture models are analyzed. Future work may involve crowd analysis, intrusion detection, and vehicle tracking to further analyze human behavior.
A Survey of Performance Comparison between Virtual Machines and Containersprashant desai
Since the onset of Cloud computing and its inroads into infrastructure as a service, Virtualization has become peak
of importance in the field of abstraction and resource management. However, these additional layers of abstraction provided by virtualization come at a trade-off between performance and cost in a cloud environment where everything is on a pay-per-use basis. Containers which are perceived to be the future of virtualization are developed to address these issues. This study paper scrutinizes the performance of a conventional virtual machine and contrasts them with the containers. We cover the critical
assessment of each parameter and its behavior when its subjected to various stress tests. We discuss the implementations and their performance metrics to help us draw conclusions on which one is ideal to use for desired needs. After assessment of the result and discussion of the limitations, we conclude with prospects for future research
This document discusses enhancing an automation framework called vdNet Framework for testing virtual networking in VMware ESX. It first provides background on virtual networking concepts and components in VMware, including virtual switches, virtual network adapters, and network isolation. It then describes the vdNet Framework, how it is used to automate testing of virtual networking features using a master controller machine and test virtual machines. It also discusses how the framework utilizes the STAF automation framework to remotely execute tests on the system under test.
Implementation of the Open Source Virtualization Technologies in Cloud Computingneirew J
This document summarizes the implementation of open source virtualization technologies in cloud computing. It discusses setting up a 3 node cluster using KVM as the hypervisor with Debian GNU/Linux 7 as the base operating system. Key steps included installing Ganeti software, configuring LVM and VLAN networking, adding nodes to the cluster from the master node, and enabling DRBD for redundant storage across nodes. The goal was to create a basic virtualized infrastructure using open source tools to demonstrate cloud computing concepts.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Virtual appliance creation and optimization in cloudeSAT Journals
Abstract The large scale IaaS systems could store virtual appliances in several repositories. The deployment time could heavily vary depending on the connection properties of the repository storing the appliance. A virtual appliance is a virtual machine image designed to run on a virtualization platform i.e. Virtual Box, Xen, VMware Workstation. Virtual appliance delivery requires the modification of the underlying IaaS systems. IaaS is the virtual delivery of computing resources in the form of hardware, networking, and storage services This concept will reduce the variance in deployment time by introducing the concept of online active repositories and appliance optimization. To provide efficient delivery time in IaaS and to increase the efficiency of IaaS (Infra structure as a service) system To calculate the delivery time when deployed it in the virtualized platform Combining the both online and manual repositories for calculating the delivery time To construct the appliance in online using various online repositories The constructed appliance is deployed in the virtualized platform (using virtual box). And the appliance is optimized for increasing the efficiency and decreasing the delivery time. The delivery time of the online appliance is compared with the appliance which has been created manually. Keywords- Cloud Computing, Virtualization, Virtual Appliance.
The document summarizes an experiment to set up a cloud computing testbed at the University of Bradford using Openstack. VirtualBox and Devstack were used to create virtual machines and install Openstack. Three physical servers were configured as the testbed infrastructure. Openstack was then used to create and manage virtual instances of a web server and database server, replacing the physical servers. This demonstrated efficient cloud migration without needing direct hardware manipulation. A load balancing solution was also created using Openstack, showing how additional resources can be dynamically provisioned in the cloud. Some observations were that Devstack requires restarting after reboots and only runs reliably
Virtualisation is a technology that abstracts ICT services from underlying hardware, allowing more efficient use. Server virtualisation in particular allows organisations to increase physical server efficiency from 30% to over 80% usage on average, reducing server needs by 30%, and quickly provision new services. Virtualisation makes use of existing computing capacity or consolidates services onto new hardware platforms in a more efficient manner.
Virtualisation is a technology that abstracts ICT services from underlying hardware, allowing more efficient use. Server virtualisation in particular allows organisations to increase physical server efficiency from 30% to over 80% usage on average, reducing server needs by 30%, and quickly provision new services. Virtualisation makes use of existing computing capacity or consolidates services onto new hardware platforms in a more efficient manner.
IRJET- A Survey on Virtualization and Attacks on Virtual Machine Monitor (VMM)IRJET Journal
This document discusses virtualization and attacks on virtual machine monitors (VMMs). It begins with an introduction to cloud computing and virtualization. Virtualization allows multiple operating systems to run concurrently on a single computer by abstracting physical resources. A VMM or hypervisor manages access to underlying physical resources for virtual machines. There are different types of virtualization including application, desktop, hardware, network, and storage virtualization. The document also discusses the two types of hypervisors - type 1 hypervisors install directly on hardware while type 2 hypervisors run on a host operating system. It concludes by noting that while virtualization improves efficiency, it can also introduce vulnerabilities that attackers may exploit.
This document summarizes different types of virtualization technologies including hardware virtualization, presentation virtualization, application virtualization, and others. It discusses how each type abstracts and decouples different computing resources to provide benefits like increased flexibility, simplified administration, improved performance and fault tolerance. Specific Microsoft virtualization technologies are also highlighted for each category. Use cases for virtualization like server consolidation, development/testing environments, and improving quality of service are outlined.
OpenStack is an open-source cloud computing platform that provides software for building private and public clouds. It was initiated in 2010 by Rackspace and NASA and now has over 100 supporting companies. The document provides an overview of OpenStack, including descriptions of its core modules like Compute (Nova), Object Storage (Swift), Block Storage (Cinder), Networking (Neutron), Dashboard (Horizon), Identity (Keystone), Image Service (Glance), Telemetry (Ceilometer), Orchestration (Heat), and Database (Trove). It discusses the evolution and growth of OpenStack over time through different releases, new features in the current Icehouse release, and how to use the OpenStack APIs.
The document provides an overview of an introductory hands-on workshop on OpenStack. It discusses key topics like virtualization, types of virtualization, cloud computing models, OpenStack architecture and core projects. The workshop aims to provide an introduction to cloud computing, OpenStack deployment, configuration and usage through hands-on exercises.
OpenStack is an open-source cloud computing platform that provides common services for both private and public clouds. It is composed of interrelated components that provide compute, networking, storage and other capabilities. These components include Nova (compute), Neutron (networking), Swift (object storage), Cinder (block storage), Glance (image service), Keystone (identity management) and Horizon (dashboard). Together these provide infrastructure as a service capabilities to deploy and manage virtual machines and applications across public, private or hybrid cloud environments.
The document discusses OpenStack, an open source software platform for cloud computing. It provides a brief history of OpenStack including its launch in 2010 and stable releases. It then summarizes the core components and projects that make up OpenStack, including Compute, Image Service, Identity, and Block Storage. Key features and benefits of these services are highlighted. Finally, it outlines the roadmap for continued development of OpenStack Compute and Image Service.
A proposal for implementing cloud computing in newspaper companyKingsley Mensah
This proposal recommends implementing cloud computing for a newspaper company's management information system using Microsoft Azure's infrastructure as a service (IaaS) public cloud model. It analyzes cloud computing and virtualization concepts. The strategy is to move backup storage to the cloud, virtualize staff/management PCs for improved security, and implement the Azure cloud to cut costs by 50% compared to current on-premise infrastructure expenses. Virtualizing access through the cloud will strengthen security while taking advantage of Azure's competitive pricing and 30-day free trial.
This document discusses BRAC's transition to using OpenStack for its private cloud infrastructure. It provides an overview of cloud computing and OpenStack, including definitions, components, and architecture. It describes BRAC's transformation from physical servers to virtualization to OpenStack. BRAC chose OpenStack because it is open source, massively scalable, has a large community and developer base, and no licensing fees.
1) Service providers are using Remote Desktop Gateway VDI solutions to provide a single access point for connecting to customer networks with different protocols. This allows for ease of administration and lower costs compared to managing multiple access methods.
2) The solution involves a VDI gateway that brokers connections to virtual desktops stored on virtualization hosts. These desktops have the ObserveIT agent installed to record all user sessions for auditing purposes.
3) Remote Desktop Gateway VDI provides more customization than traditional terminal services, including custom applications and isolated environments tailored to each customer's needs, but requires more complex setup and hardware resources.
Deployment of private cloud infrastructure copyprabhat kumar
The document discusses deploying a private cloud infrastructure using open source software like OpenStack and MostlyLinux. It would create a cost-effective private cloud architecture as an alternative to proprietary solutions. The summaries would provide high-level overviews of key sections in 3 sentences or less.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
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.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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.
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
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
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.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
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.
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 .
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