Cloud computing is using the internet to access someone else's software running on someone else's hardware in someone else's data center.
OUTLINE-
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
Cloud computing is using the internet to access someone else's software running on someone else's hardware in someone else's data center.
OUTLINE-
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
Security in Clouds: Cloud security challenges – Software as a
Service Security, Common Standards: The Open Cloud Consortium – The Distributed management Task Force – Standards for application Developers – Standards for Messaging – Standards for Security, End user access to cloud computing, Mobile Internet devices and the cloud. Hadoop – MapReduce – Virtual Box — Google App Engine – Programming Environment for Google App Engine.
Security in Clouds: Cloud security challenges – Software as a
Service Security, Common Standards: The Open Cloud Consortium – The Distributed management Task Force – Standards for application Developers – Standards for Messaging – Standards for Security, End user access to cloud computing, Mobile Internet devices and the cloud. Hadoop – MapReduce – Virtual Box — Google App Engine – Programming Environment for Google App Engine.
- IBM Z13 - The new possible
- Cloud and Service Management on IBM Z System
- Big data and Analytics on IBM Z System
- Mobile Challenge with IBM Z System
- DevOps on IBM Z System
- Security on IBM Z System
An arithmetic logic unit (ALU) is a digital electronic circuit that performs arithmetic and bitwise logical operations on integer binary numbers.
This is in contrast to a floating-point unit (FPU), which operates on floating point numbers. It is a fundamental building block of many types of computing circuits, including the central processing unit (CPU) of computers, FPUs, and graphics processing units.
A single CPU, FPU or GPU may contain multiple ALUs
History Of ALU:Mathematician John von Neumann proposed the ALU concept in 1945 in a report on the foundations for a new computer called the EDVAC(Electronic Discrete Variable Automatic Computer
Typical Schematic Symbol of an ALU:A and B: the inputs to the ALU
R: Output or Result
F: Code or Instruction from the
Control Unit
D: Output status; it indicates cases
Circuit operation:An ALU is a combinational logic circuit
Its outputs will change asynchronously in response to input changes
The external circuitry connected to the ALU is responsible for ensuring the stability of ALU input signals throughout the operation
Haystax Technology Labs presentation of white-paper on advanced threat analytics at 9th International Semantic Technologies Intelligence for Defense and Security (STIDS)
Applying advanced analytic techniques to enable rapid real-time enterprise threat intelligence and awareness. This presentation looks at how data + algorithms can help enterprises improve their overall threat posture.
Exploiting inference to improve temporal RDF annotations and queries for mach...Haystax Technology
We argue for time points with zero real-world
duration as a best ontological practice in point- and intervalbased
temporal representation and reasoning. We demonstrate
anomalies that unavoidably arise in the event calculus when realworld
time intervals corresponding to finest anticipated calendar
units (e.g., days or seconds, per application granularity) are taken
(naively or for implementation convenience) to be time “points.”
Our approach to eliminating the undesirable anomalies admits
durations of infinitesimal extent as the lower and/or upper
bounds that may constrain two time points’ juxtaposition.
Following Dean and McDermott, we exhibit axioms for temporal
constraint propagation that generalize corresponding naïve
axioms by treating infinitesimals as orthogonal first-class
quantities and we appeal to complex number arithmetic
(supported by programming languages such as Lisp) for
straightforward implementation. The resulting anomaly-free
operation is critical to effective event calculus application in
commonsense understanding applications, like machine reading.
Here's all you want to know on Cloud Computing..... why used, advantanges, structure etc. All queries regarding cloud computing are met in this presentation. For demo of such software in accounting field visit www.arcus-universe.com
Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT's existing capabilities.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Mainframe Computers
1. Mainframe Computers
Supervisor: Sir Shahzad Ali Rana
Group Members:
Muhammad Ahtisham(2813)
Ali Akbar (2483)
A background of Mainframe Computers:
The computers of the 1990's roughly fell into three groups consisting of mainframes, networking
units, and personal computers. Mainframe computers were extremely large sized modules and
had the capabilities of processing and storing massive amounts of data in the form of numbers
and words. Mainframes were the first types of computers developed in the 1940's. Users of these
types of computers ranged from banking firms, large corporations and government agencies.
They usually were very expensive in cost but designed to last at least five to ten years. They also
required well educated and experienced manpower to be operated and maintained.
Advantages and Disadvantages of Mainframe Computing:
Advantages :
High-level computing
Increased processing power
Virtualization:
Reliability, availability, and serviceability (RAS):
Security
High-end scalability
Continuing compatibility
Long lasting performance
2. Disadvantages:
One of the prominent drawbacks of mainframes is their cost. Hardware and software for
mainframes are clearly expensive. However, compared to the cost of other routes to security, IT
management, virtualization, etc., the cost of mainframes is significantly less.
Secondly, mainframe hardware occupies more space than other computers. That large space
might be a constraint for small establishments. But that problem is not so severe as it once was.
Compared to earlier machines, today's mainframes are small.
Finally, one needs high-end skills to work with mainframe computers. You cannot operate a
mainframe environment without specific training. However, as one skilled administrator can
serve a large group of mainframe users, using mainframes significantly reduces people-costs and
thus offers a significant staffing advantage.
Advantages Offered by Mainframe Computing Over Cloud Computing:
To a typical mainframe professional, cloud computing is just an imitation of mainframe
architecture in a distributed environment. Virtualization, the main concept in cloud computing,
has been a part of mainframe computing since four decades. Except for the cost advantage, there
is no significant benefit of cloud computing compared to mainframe computing. Further, its
dependence on Internet and data storage on third-party servers makes it less reliable and less
secure. In this context, let us see how mainframe computing is more advantageous compared to
cloud computing.
High-end performance
Highly secure
Reliability
Customization
Cloud computing, on the other hand is considered less reliable compared to mainframe
computing as it relies on the Internet. If the connection goes down or if the host server goes
down, there will be server downtime, which disables the clients from accessing the data.
Basic Requirements of Mainframe Systems You Needto Know While Installing:
These points must be kept in mind whole you install the main frame computers.
What Operating systems it will support?
How much Space is available and what it would take?
What is the running Environment?
And how much Power supply is needed.
3. Features That Make Modern Mainframe Computers Stand Out:
Let us discuss the unique features offered by mainframe computers, which make them the most
reliable computing solutions
High processing capacity
Huge memory storage
Can run multiple operating systems
Centralized computing
Application debugging
Real-time monitoring and control
Supports large number of users and application programs
Current Developments:
System Z9, the latest in the series, has double the processing power and capacity, memory, MIPS
and number of partitions than its predecessor. Virtualization technology enables the Z servers to
run mixed workloads. Z/OS uses multiprocessing and multiprogramming for large-scale data
management and I/O operations