1. The Common Object Request Broker Architecture (CORBA) enables software components written in different languages and running on different computers to communicate.
2. An Object Request Broker (ORB) is the core of any CORBA distributed system and is responsible for enabling communication between objects and clients while hiding issues related to distribution and heterogeneity.
3. CORBA uses an object-oriented model where object implementations reside on servers and are specified using the CORBA Interface Definition Language (IDL). The ORB handles object invocations between clients and servers.
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.
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.
Optimistic concurrency control in Distributed Systemsmridul mishra
What is Optimistic concurrency control, how and why it is applied to distributed systems, the Kung Robinson algorithm overview and the advantages-disadvantages have been covered
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.
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.
Optimistic concurrency control in Distributed Systemsmridul mishra
What is Optimistic concurrency control, how and why it is applied to distributed systems, the Kung Robinson algorithm overview and the advantages-disadvantages have been covered
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
Middleware and Middleware in distributed applicationRishikese MR
The seminar discuss about the common middleware concept and middleware in distributed applications .Also we discuss about 4 different types of middleware. MOM( Message oriented Middleware), ORB (object request broker), TP Monitors, Request procedure calls RPC.
The slide also gives the advantages and disadvantages of each.
Synchronization in distributed computingSVijaylakshmi
Synchronization in distributed systems is achieved via clocks. The physical clocks are used to adjust the time of nodes. Each node in the system can share its local time with other nodes in the system. The time is set based on UTC (Universal Time Coordination).
About Naming Concepts in Distributed systems.
More about its services, its types & the approaches of implementation for Name Space & Name Resolution and Locating Entities Approaches with example diagrams.
File Replication : High availability is a desirable feature of a good distributed file system and file replication is the primary mechanism for improving file availability. Replication is a key strategy for improving reliability, fault tolerance and availability. Therefore duplicating files on multiple machines improves availability and performance.
Replicated file : A replicated file is a file that has multiple copies, with each copy located on a separate file server. Each copy of the set of copies that comprises a replicated file is referred to as replica of the replicated file.
Replication is often confused with caching, probably because they both deal with multiple copies of data. The two concepts has the following basic differences:
A replica is associated with server, whereas a cached copy is associated with a client.
The existence of cached copy is primarily dependent on the locality in file access patterns, whereas the existence of a replica normally depends on availability and performance requirements.
Satynarayanana [1992] distinguishes a replicated copy from a cached copy by calling the first-class replicas and second-class replicas respectively
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
Middleware and Middleware in distributed applicationRishikese MR
The seminar discuss about the common middleware concept and middleware in distributed applications .Also we discuss about 4 different types of middleware. MOM( Message oriented Middleware), ORB (object request broker), TP Monitors, Request procedure calls RPC.
The slide also gives the advantages and disadvantages of each.
Synchronization in distributed computingSVijaylakshmi
Synchronization in distributed systems is achieved via clocks. The physical clocks are used to adjust the time of nodes. Each node in the system can share its local time with other nodes in the system. The time is set based on UTC (Universal Time Coordination).
About Naming Concepts in Distributed systems.
More about its services, its types & the approaches of implementation for Name Space & Name Resolution and Locating Entities Approaches with example diagrams.
File Replication : High availability is a desirable feature of a good distributed file system and file replication is the primary mechanism for improving file availability. Replication is a key strategy for improving reliability, fault tolerance and availability. Therefore duplicating files on multiple machines improves availability and performance.
Replicated file : A replicated file is a file that has multiple copies, with each copy located on a separate file server. Each copy of the set of copies that comprises a replicated file is referred to as replica of the replicated file.
Replication is often confused with caching, probably because they both deal with multiple copies of data. The two concepts has the following basic differences:
A replica is associated with server, whereas a cached copy is associated with a client.
The existence of cached copy is primarily dependent on the locality in file access patterns, whereas the existence of a replica normally depends on availability and performance requirements.
Satynarayanana [1992] distinguishes a replicated copy from a cached copy by calling the first-class replicas and second-class replicas respectively
Spatial filtering using image processingAnuj Arora
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mask),lapace filtering and filtering process of image for extract information and reduce noise
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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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/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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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
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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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.
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.
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.
2.
The Common Object Request Broker
Architecture is a
Standard defined by the object management
group that Enables software components
written in multiple computer languages and
running
on multiple computers to
work together.
CORBA
3.
Fig - The global architecture of CORBA.
Overview
4. •
ORB is core of any COBRA Distributed System.
•
ORB is responsible for enabling communication
Between objects and their clients while hiding
issues related to distribution and heterogeneity.
Object Request Broker
5. CORBA use the remote object model in which
the implementation of an object reside in the
address space of a server.
•
Objects and services are specified in the CORBA
Interface Definition Language(IDL).
•
Object Model
6.
Fig - The general organization of a
CORBA system.
Object Model
7. Service
Description
Collection
Facilities for grouping objects into lists, queue, sets, etc.
Query
Facilities for querying collections of objects in a declarative manner
Concurrency
Facilities to allow concurrent access to shared objects
Transaction
Flat and nested transactions on method calls over multiple objects
Event
Facilities for asynchronous communication through events
Notification
Advanced facilities for event-based asynchronous communication
Externalization
Facilities for marshaling and unmarshaling of objects
Life cycle
Facilities for creation, deletion, copying, and moving of objects
Licensing
Facilities for attaching a license to an object
Naming
Facilities for systemwide name of objects
Property
Facilities for associating (attribute, value) pairs with objects
Trading
Facilities to publish and find the services on object has to offer
Corba Services
Persistence
Relationship
Facilities for expressing relationships between objects
Security
Mechanisms for secure channels, authorization, and auditing
Time
Facilities for persistently storing objects
Provides the current time within specified error margins
Fig - Overview of CORBA services.
8. Communication
Object Invocation Models
Request type
Failure semantics
Description
Synchronous
Caller blocks until a response is
returned or an exception is
raised
One-way
Best effort delivery
Caller continues immediately
without waiting for any response
from the server
Deferred
synchronous
At-most-once
At-most-once
Caller continues immediately
and can later block until
response is delivered
Fig - Invocation models supported in CORBA.
13. Message type
Originator
Description
Request
Client
Contains an invocation request
Reply
Server
Contains the response to an invocation
LocateRequest
Client
Contains a request on the exact location of an object
LocateReply
Server
Contains location information on an object
CancelRequest
Client
Indicates client no longer expects a reply
CloseConnection
Both
Indication that connection will be closed
Interoperability
MessageError
Contains information on an error
Fragment
Both
Both
Part (fragment) of a larger message
Fig - GIOP message types.
15.
IDL specification are compiled into a proxy
Marshall invocation info
Un-Marshall corresponding reply
Proxies are just to connect to underlying ORB
Client Process
16.
It is a mechanism by which an invocation can
intercepted on its way from client to server and
adopt it
Request level interceptor
Message level interceptor
Interceptor
18.
It is just like a wrapper
Responsible for providing consistent image of
what an object is
It provides mechanism such that client can see
that program is just an object
POA are responsible to show server-side code
as object to client
Server side code need not to worry about
underlying ORB
Object adapter
20.
To facilitate agent based system CORBA adopts a model in which
different kind of system can co-operate
CORBA provides standard interface that has to be followed
Agent system - creation, execution, transfer, termination
Each agent system has its profile
Region, finder
Agents
23.
How objects are referenced?
Client side object reference and ORB object
reference are different
A reference of X can not be passed to Y because
of address space
So marshaling is used by underlying ORB for
this
ORB has language independent reference
called IOR ( interoperable object reference)
Object reference
25.
Starts with repository identifier
Most important part is tagged profile
Profile ID
Host field
Port field
Object key
components
IOR details
26.
Binding request is first sent to implementation
repository
It acts as a registry by which reference objects
can be located and activated
Indirect binding
29.
Object groups - replicate objects into object
groups
Identical copies of same object
Replication is transparent to client
But how object group are referenced ?
Fault tolerance
30. IOGR (interoperable object group reference)
IOGR contains multiple reference to different
objects (of same type)
IOR contains multiple reference to same object
ORB binds IOGR to one of the replicas
34.
Application level objects are unaware of
security mechanism
At binding time ORB decides which security
service is to be used at client side
Selection of service is done by security policy
Security policies are done by policy objects
Secure object invocation
35.
1.
2.
Two different interceptors
Access control interceptor- checks the rights
Secure invocation interceptor- message
protection and it is able to encrypt the
request and response also
Replaceable security
service