Following presentation answers:
- Why do we need evolution?
- What happens if we do not evolve the software?
- What are the types of software evolution?
- What are Lehman's laws
- What are the strategies for evolution?
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.
Following presentation answers:
- Why do we need evolution?
- What happens if we do not evolve the software?
- What are the types of software evolution?
- What are Lehman's laws
- What are the strategies for evolution?
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.
Webinar presentation September 20, 2016.
This deck introduces the CSCC’s deliverable, Cloud Security Standards: What to Expect and What to Negotiate V2.0, which was updated in August 2016 to reflect the latest developments in cloud security standards. The presentation is an overview of the various security standards, frameworks, and certifications that exist for cloud computing. This information will help cloud customers understand and distinguish between the different types of security standards that exist and assess the security standards support of their cloud service providers.
Read the CSCC's deliverable here: http://www.cloud-council.org/deliverables/cloud-security-standards-what-to-expect-and-what-to-negotiate.htm
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Need for Virtualization – Pros and cons of Virtualization – Types of Virtualization –System VM, Process VM, Virtual Machine monitor – Virtual machine properties - Interpretation and binary translation, HLL VM - supervisors – Xen, KVM, VMware, Virtual Box, Hyper-V.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
A distributed system is a collection of computational and storage devices connected through a communications network. In this type of system, data, software, and users are distributed.
Introduces real-time software systems and discusses differences between these and other types of system. Accompanies video at:
https://youtu.be/_U6Le3_eL2I
Webinar presentation September 20, 2016.
This deck introduces the CSCC’s deliverable, Cloud Security Standards: What to Expect and What to Negotiate V2.0, which was updated in August 2016 to reflect the latest developments in cloud security standards. The presentation is an overview of the various security standards, frameworks, and certifications that exist for cloud computing. This information will help cloud customers understand and distinguish between the different types of security standards that exist and assess the security standards support of their cloud service providers.
Read the CSCC's deliverable here: http://www.cloud-council.org/deliverables/cloud-security-standards-what-to-expect-and-what-to-negotiate.htm
Provides a simple and unambiguous taxonomy of three service models
- Software as a service (SaaS)
- Platform as a service (PaaS)
- Infrastructure as a service (IaaS)
(Private cloud, Community cloud, Public cloud, and Hybrid cloud)
Need for Virtualization – Pros and cons of Virtualization – Types of Virtualization –System VM, Process VM, Virtual Machine monitor – Virtual machine properties - Interpretation and binary translation, HLL VM - supervisors – Xen, KVM, VMware, Virtual Box, Hyper-V.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
A distributed system is a collection of computational and storage devices connected through a communications network. In this type of system, data, software, and users are distributed.
Introduces real-time software systems and discusses differences between these and other types of system. Accompanies video at:
https://youtu.be/_U6Le3_eL2I
Discusses some of the issues involved in scaling agile methods for large systems engineering.
Accompanies YouTube video atL
https://www.youtube.com/watch?v=GuK46hw3CyI
Explains why the characteristics of large anc complex software systems mean that agile methods cannot be used without change in their development
Accompanies YouTube video
https://www.youtube.com/watch?v=L1JcQDHJzHA
I can't claim credit for this presentation's original format; which a colleague downloaded. I've just added and tweaked a little so that it fits within my class's syllabus.
The note is compiled with reference from many sites and According to the syllabus of Real Time System (6th semester CSIT). Drive deep to the never ending knowledge.
These slides focus on preliminary discussions about wide area monitoring, protection and control in future smart grid. Later in the class i will show its application through simulation and case study results.
PhD subject of Jie Sun. Simulation tool based on JADE , jess rule engine and ontology. The goal is to prove that a sensor that can adapt its behaviour based on observed phenomenon state will libve longer
SYSTEM IDENTIFICATION AND MODELING FOR INTERACTING AND NON-INTERACTING TANK S...ijistjournal
System identification from the experimental data plays a vital role for model based controller design. Derivation of process model from first principles is often difficult due to its complexity. The first stage in the development of any control and monitoring system is the identification and modeling of the system. Each model is developed within the context of a specific control problem. Thus, the need for a general system identification framework is warranted. The proposed framework should be able to adapt and emphasize different properties based on the control objective and the nature of the behavior of the system. Therefore, system identification has been a valuable tool in identifying the model of the system based on the input and output data for the design of the controller. The present work is concerned with the identification of transfer function models using statistical model identification, process reaction curve method, ARX model, genetic algorithm and modeling using neural network and fuzzy logic for interacting and non interacting tank process. The identification technique and modeling used is prone to parameter change & disturbance. The proposed methods are used for identifying the mathematical model and intelligent model of interacting and non interacting process from the real time experimental data.
SYSTEM IDENTIFICATION AND MODELING FOR INTERACTING AND NON-INTERACTING TANK S...ijistjournal
System identification from the experimental data plays a vital role for model based controller design. Derivation of process model from first principles is often difficult due to its complexity. The first stage in the development of any control and monitoring system is the identification and modeling of the system. Each model is developed within the context of a specific control problem. Thus, the need for a general system identification framework is warranted. The proposed framework should be able to adapt and emphasize different properties based on the control objective and the nature of the behavior of the system. Therefore, system identification has been a valuable tool in identifying the model of the system based on the input and output data for the design of the controller. The present work is concerned with the identification of transfer function models using statistical model identification, process reaction curve method, ARX model, genetic algorithm and modeling using neural network and fuzzy logic for interacting and non interacting tank process. The identification technique and modeling used is prone to parameter change & disturbance. The proposed methods are used for identifying the mathematical model and intelligent model of interacting and non interacting process from the real time experimental data.
The Design of Multi-Platforms Rail Intelligence Flatness Detection SystemIJRESJOURNAL
ABSTRACT: In this paper,we design a Multi-platforms intelligent system for flatness detection of rail welding headbased on thedevelopment environment of Android software .The system uses a STM32 chip as control core, a handheld smart terminal or personal computer as the carrier. The datas transmitted to intelligent terminal or computer through the bluetooth communication technology are processed rapidly, the data curve is drawed and the flatness characteristic parameters of the measured rail welding head is identified. The system provides a friendly intuitive monitoring and operation interface, has the characteristics of fast, reliable, energy saving, high accuracy, etc.
Real Time Condition Monitoring of Power Plant through DNP3 ProtocolIJRES Journal
condition monitoring plays an important role in the functioning of heavy rotating systems. The working of these systems need to be monitored continuously and the reading are to taken into account. This mechanism became easy with the generation of the microprocessors. The readings can be acquired and stored them into the servers. With the advent of increasing internet facility’s the data acquiring, controlling and sharing has became an easy task through various protocols. Using this techniques the systems readings are noticed by the operator, even though he is not concerning machine.
Lab view based self tuning fuzzy logic controller for sterilizing equipments ...eSAT Publishing House
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.
Similar to Architectural patterns for real-time systems (20)
Introduces the idea of a software process and describes generic plan-based and agile processes.
Accompanies video:
https://www.youtube.com/watch?v=q8X2Rk5sRFI
Describes the basic activities of software engineering - specification, design and implementation, validation and evolution.
Accompanies video:
https://www.youtube.com/watch?v=Z2no7DxDWRI
Explains the causes of the Ariane 5 launcher failure in 1996. Due to a failure in the software controlling the inertial navigation system
Video: http://www.youtube.com/watch?v=W3YJeoYgozw
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
4. Observe and React
This pattern is used when a set of
sensors are routinely monitored and
displayed.
.
5. Environmental Control
This pattern is used when a system
includes sensors, which provide
information about the environment
and actuators that can change the
environment
.
6. Process Pipeline
This pattern is used when data has
to be transformed from one
representation to another before it
can be processed.
7. Observe and react
The input values of a set of sensors of the same types are
collected and analyzed. These values are displayed in some
way.
If the sensor values indicate that some exceptional
condition has arisen, then actions are initiated to draw the
operator’s attention to that value and, in certain cases, to
take actions in response to the exceptional value.
11. Environmental control
The system analyzes information from a
set of sensors that collect data from the
system’s environment. Further
information may also be collected on the
state of the actuators that are connected
to the system.
12. Based on the data from the sensors
and actuators, control signals are
sent to the actuators that then cause
changes to the system’s
environment.
13. Information about the sensor values
and the state of the actuators may be
displayed.