Grid computing is the application of several computers to a single problem
at the same time.
This Presentation deals with the idea of Grid Computing, its Design
Considerations, How a Grid Works, and some of the existing Grids in the
World today.
This presentation contains basic introduction to cloud computing and Grid computing . Also mainly focusing on comparison in cloud and grid. This presentation taking some references on research papers.
Cloud computing 2 business perspective of cloud computingVaibhav Khanna
While much research is dedicated to the technical aspects of cloud computing, many authors neglect the IT provisioning, i.e., the business perspective of cloud computing.
In this regard cloud computing has the potential to revolutionize the mode of computing resource and application deployment, breaking up traditional value chains and making room for new business models.
Many providers like Amazon, Google, IBM, Microsoft, Salesforce, or Sun positioned themselves as platform and infrastructure providers in the cloud computing market.
Beside them there emerge more and more providers, who build their own applications or consulting services upon infrastructure services offered by other market players.
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
Grid computing is the application of several computers to a single problem
at the same time.
This Presentation deals with the idea of Grid Computing, its Design
Considerations, How a Grid Works, and some of the existing Grids in the
World today.
This presentation contains basic introduction to cloud computing and Grid computing . Also mainly focusing on comparison in cloud and grid. This presentation taking some references on research papers.
Cloud computing 2 business perspective of cloud computingVaibhav Khanna
While much research is dedicated to the technical aspects of cloud computing, many authors neglect the IT provisioning, i.e., the business perspective of cloud computing.
In this regard cloud computing has the potential to revolutionize the mode of computing resource and application deployment, breaking up traditional value chains and making room for new business models.
Many providers like Amazon, Google, IBM, Microsoft, Salesforce, or Sun positioned themselves as platform and infrastructure providers in the cloud computing market.
Beside them there emerge more and more providers, who build their own applications or consulting services upon infrastructure services offered by other market players.
Introduction to Cloud Computing, Roots of Cloud Computing ,Desired Features of Cloud Computing ,Challenges and Risks ,Benefits and Disadvantages of Cloud Computing
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Key to the definition of cloud computing is the “cloud” itself. Here , the cloud is a large group of interconnected computers. These computers can be personal computers or network servers; they can be public or private. This cloud of computers extends beyond a single company or enterprise. The applications and data served by the cloud are available to broad group of users, cross-enterprise and cross-platform. Access is via the Internet. Any authorized user can access these docs and apps from any computer over any Internet connection.
ANALYSIS OF THE COMPARISON OF SELECTIVE CLOUD VENDORS SERVICESijccsa
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
Key to the definition of cloud computing is the “cloud” itself. Here , the cloud is a large group of interconnected computers. These computers can be personal computers or network servers; they can be public or private. This cloud of computers extends beyond a single company or enterprise. The applications and data served by the cloud are available to broad group of users, cross-enterprise and cross-platform. Access is via the Internet. Any authorized user can access these docs and apps from any computer over any Internet connection.
ANALYSIS OF THE COMPARISON OF SELECTIVE CLOUD VENDORS SERVICESijccsa
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
The Slide Explains the concepts of Cloud Computing. Covers various definitions of Cloud Computing. Its Models, Types, Advantages, Challenges. A must to understand what is Cloud Computing.
Now a days the work is being done by hiring the space and resources from the cloud providers in order to do work effectively and less costly. This paper describes the cloud, its challenges, evolution, attacks along with the approaches required to handle data on cloud. The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. The need of this review paper is to provide the awareness of the current emerging technology which saves the cost of users.
Fault Tolerance in AWS Distributed Cloud ComputingCaner KAYA
Abstract— The cloud computing enable information technologies solutions by using the visual machines to provide resource-sharing and using on demand basis; so within this complex, this area is becoming more attractive for researching. Upon the rapid development of these technologies, the fault tolerance of cloud computing has become one of the most important topic for information technologies. This requirement has become forefront since, this system needs reliability and must be ready all the time. This case-study, review the techniques that protect the cloud computing and user systems from process fault. One of the indications is as shown below, that, the cloud computing is prone to create faults. The main goals of the fault tolerance are to protect financial loses, to achieve the restoration of the system. The case study has review the scenario that the fault, repetitions could be solved by checkpoints and back-ups. The Amazon AWS is shown asan example for the fault-tolerance.
Keywords- Cloud Computing; Fault Tolerance; Dependability ; Availability ; Redundancy; Human Factor: Replication ;Amazon Web Services.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
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
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
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
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/
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.
"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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Comparative study of Data management for cloud computing deployment
1.
2. The concept of
‘cloud computing’
is
currently receiving considerable attention,
both in the research and commercial arenas
Cloud
computing
is
the
delivery
of
computing as a service rather than a
product,
whereby
shared
resources,
software and information are provided to
computers and other devices as a utility
(like the electricity grid) over a network
(typically the Internet).
3. In this
paper we
discuss the
limitations
and
opportunities
of deploying
data
management
issues on
these
emerging
cloud
computing
platforms.
4. We present a list of features that
a DBMS designed for large scale
data analysis tasks running on an
Amazon-style
offering
should
contain.
We thus express the need for a
new DBMS, designed specifically
for cloud computing environments.
5. Data management applications are potential
candidates for deployment in the cloud.
Cloud computing vendors typically maintain little
more than the hardware, and give customers a
set of virtual machines in which to install their
own software.
Cloud-based DBMS are extremely scalable. They
are able to handle volumes of data and
processes that would exhaust a typical DBMS.
6. • We thus foreground a research objective for
large scale data analysis in the cloud,
showing why currently available systems are
not ideally suited for cloud deployment, and
arguing that there is a need for a newly
designed DBMS, architected specifically for
cloud computing platforms.
7. . Cloud computing is a subscription-based service
where you can obtain networked storage space
and computer resources.
. There are different types of clouds that you can
subscribe to depending on your needs. As a home
user or small business owner, you will most likely
use public cloud services.
Public Cloud - A public cloud can be accessed by any subscriber
with an internet connection and access to the cloud space.
Private Cloud - A private cloud is established for a specific group
or organization and limits access to just that group.
8. • Community Cloud - A
community cloud is shared
among two or more
organizations that have similar
cloud requirements.
• Hybrid Cloud - A hybrid cloud is
essentially a combination of at
least two clouds, where the
clouds included are a mixture of
public, private, or community.
9. Compute power is elastic, but
only if workload is parallelizable
Agility
Cost
Reliability
Data is stored at an untrusted
host.
Data is replicated, often across
large geographic distances
10.
11. Transactional data
Analytical data management
management
Shared-Nothing
Typically
architecture Shared-nothing architecture is a good
not
use
transactional
in match
for
analytical
data
data management.
management.
ACID
Property
is
Hard
to ACID Property is not needed
maintain in transactional data
management.
Transactional
database
generally small system.
are Analytical data management systems
are
generally
larger
than
transactional systems.
There are enormous risks in Particularly sensitive data can often
storing transactional data on an be
left
out
of
the
analysis
data
12. In the contemporary scenario there is implicit
need for construction of a new database
distinctively for clouds understanding its
applications, need and compatibility…
Architecture which can detect and prevent the
various threats, attacks and other security related
issues which continuously depletes the efficiency
and the productivity of the cloud that can be in the
future a platform for cloud computing.
The next step is to propose a model for grid
computing also.
13.
14. •J. Hurwitz, M. Kaufman, and R. Bloor, “Cloud Computing for Dummies,”
Wiley Publishing, Inc. 2010.
•Leah Muthoni Riungu, Ossi Taipale, Kari Smolander, “Software Testing as an
Online Service: Observations from Practice,” In Third International Conference
on Software Testing, Verification, and Validation Workshops (ICSTW), 418-423,
2010.
•M. Brantner, D. Florescu, D. Graf, D. Kossmann, and T. Kraska. Building a
Database on S3. In Proc. of SIGMOD, pages 251–264, 2008.
•] B. Cooper, R. Ramakrishnan, U. Srivastava, A. Silberstein, P. Bohannon, H.
Jacobsen, N. Puz, D. Weaver, and R. Yerneni. Pnuts: Yahoo!s hosted data serving
platform. In Proceedings of VLDB, 2008.
•J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large
clusters. pages 137–150, December 2004.
•Y. Yang, C. Onita, J. Dhaliwal, X. Zhang, “TESTQUAL: conceptualizing
software testing as a service,” In the 15th Americas conf. on information
systems, 6-9.08, San Francisco, California, USA, paper 608, 2009.