To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Efficient Resource Allocation to Virtual Machine in Cloud Computing Using an ...ijceronline
The focus of the paper is to generate an advance algorithm of resource allocation and load balancing that can deduced and avoid the dead lock while allocating the processes to virtual machine. In VM while processes are allocate they executes in queue , the first process get resources , other remains in waiting state .As rest of VM remains idle . To utilize the resources, we have analyze the algorithm with the help of First-Come, First-Served (FCFS) Scheduling, Shortest-Job-First (SJR) Scheduling, Priority Scheduling, Round Robin (RR) and CloudSIM Simulator.
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Efficient Resource Allocation to Virtual Machine in Cloud Computing Using an ...ijceronline
The focus of the paper is to generate an advance algorithm of resource allocation and load balancing that can deduced and avoid the dead lock while allocating the processes to virtual machine. In VM while processes are allocate they executes in queue , the first process get resources , other remains in waiting state .As rest of VM remains idle . To utilize the resources, we have analyze the algorithm with the help of First-Come, First-Served (FCFS) Scheduling, Shortest-Job-First (SJR) Scheduling, Priority Scheduling, Round Robin (RR) and CloudSIM Simulator.
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Enviro...SaikiranReddy Sama
In Dynamic Resource Allocation, WE PRESENT A SYSTEM THAT USES VIRTUALIZATION TECHNOLOGY TO ALLOCATE DATA CENTER RESOURCES DYNAMICALLY.
WE INTRODUCE THE CONCEPT OF “SKEWNESS”.
And BY MINIMIZING SKEWNESS, WE CAN COMBINE DIFFERENT TYPES OF WORKLOADS NICELY AND IMPROVE THE OVERALL UTILIZATION OF SERVER RESOURCES.
WE DEVELOP A SET OF HEURISTICS THAT PREVENT OVERLOAD IN THE SYSTEM EFFECTIVELY WHILE SAVING ENERGY USED.
Dynamic resource Allocation using Virtual Machines For Cloud Computing
33. dynamic resource allocation using virtual machinesmuhammed jassim k
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
Resource provisioning optimization in cloud computingMasoumeh_tajvidi
The key benefit of cloud computing for the customer is to be able to acquire resources in response to demand dynamically and only pay for the resources used. This benefit can only be realized when the cloud user can determine the right size of the resource required and allocate the resources in a cost-effective way. While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. Unfortunately there is still a lack of a good understanding of such a cost optimization. Resource provisioning optimization problem from the cloud-user prospective is a complicated optimization problem that consists of much uncertainty as well as heterogeneity in parameters. Also this problem is a multi-objective problem in essence. There is not much research conducted for solving this problem as it is in the real-world. These works mostly relaxed the problem by not considering the dynamicity and heterogeneity of the environment, or solving the problem as a single-objective optimization. Therefore in this PhD research, our target is solving the resource provisioning optimization problem by taking into account most of the complexity of this problem in the real-world as well as proposing a smart approach for solving such an uncertain and heterogeneous multi-objective optimization problems. This smart approach is to be equipped with Machine learning (ML) techniques in order to make it an intelligent approach that learns from previous stages and makes more accurate decisions in later stages.
Easily confused with cloud-computing, virtualization is actually the software that powers cloud computing. VMware separates physical infrastructures and turns them into dedicated resources. It also allows multiple OS to run on the same server simultaneously. The purpose of virtualization is to reduce the cost of acquiring and maintaining multiple physical resources.
Jamcracker Cloud Management Platform: Control, Govern and Manage Enterprise C...John Katrick
Jamcracker Cloud Management Platform provides a unified cloud management solution to integrate the disparate cloud environments. Allows you to control, govern and manage your enterprise cloud resources with automation, orchestration, policy enforcement and management tools. Visit https://www.jamcracker.com/cloud-management-platform to know more.
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using vir...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
At this year’s annual Design Automation Conference (DAC 2020), Rob Lalonde and Bill Bryce of Univa partnered with representatives from Google and Synopsys to discuss EDA in the Cloud and share best practices related to cloud migration.
Dimension data cloud for the enterprise architectDavid Sawatzke
Dimension Data’s Cloud ranges from completely automated, self-provisioning public services to fully customisable, tailored private and hosted cloud services. Our Cloud services are anchored by our multivendor systems integration and a comprehensive consulting/IT outsourcing/managed services portfolio and our edge is that our Cloud services combine the automation and orchestration of public cloud offerings with the service delivery maturity developed over 30 years of IT services experience. With ongoing development and significiant R&D investment we continue to innovate and grow ourcloud services capabilities
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
Savig cost using application level virtualizationNati Shalom
Saving cost using middleware and application level virtualization. This presentation provides description of the various cost saving elements beyond server-side consolidation. - Saving the cost of peak/static provisioning using on-demand scaling - Saving the downtime cost - Saving cost through outsourcing part of our application and operations to the cloud - Saving cost using application level optimization (doing more with less) - Saving cost using platform consolidation to reduce the number of software components as well as utilize OpenSource and more commodity Software packages Toward the end Jim Liddle provide real life case studies from iPhone launch in the UK and how those principles has been applied to enable successful launch in the UK. In addition to that Jim go through some of the motivations and case studies that led different telco and startup companies to utilize the cloud to gain better cost effectiveness.
Optimizing Your Cloud Applications in RightScaleRightScale
RightScale Conference Santa Clara 2011 - How do you tune application performance in the cloud? What if you want elasticity? We’ll talk through our experiences scaling and performance tuning the RightScale Cloud Management Platform in the cloud. Plus we’ll share tips for sizing, auto- scaling, monitoring, and troubleshooting large-scale cloud deployments.
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Resource provisioning optimization in cloud computingMasoumeh_tajvidi
The key benefit of cloud computing for the customer is to be able to acquire resources in response to demand dynamically and only pay for the resources used. This benefit can only be realized when the cloud user can determine the right size of the resource required and allocate the resources in a cost-effective way. While resource over-provisioning can cost users more than necessary, resource under provisioning hurts the application performance. The cost effectiveness of cloud computing highly depends on how well the customer can optimize the cost of renting resources (VMs) from cloud providers. Unfortunately there is still a lack of a good understanding of such a cost optimization. Resource provisioning optimization problem from the cloud-user prospective is a complicated optimization problem that consists of much uncertainty as well as heterogeneity in parameters. Also this problem is a multi-objective problem in essence. There is not much research conducted for solving this problem as it is in the real-world. These works mostly relaxed the problem by not considering the dynamicity and heterogeneity of the environment, or solving the problem as a single-objective optimization. Therefore in this PhD research, our target is solving the resource provisioning optimization problem by taking into account most of the complexity of this problem in the real-world as well as proposing a smart approach for solving such an uncertain and heterogeneous multi-objective optimization problems. This smart approach is to be equipped with Machine learning (ML) techniques in order to make it an intelligent approach that learns from previous stages and makes more accurate decisions in later stages.
Easily confused with cloud-computing, virtualization is actually the software that powers cloud computing. VMware separates physical infrastructures and turns them into dedicated resources. It also allows multiple OS to run on the same server simultaneously. The purpose of virtualization is to reduce the cost of acquiring and maintaining multiple physical resources.
Jamcracker Cloud Management Platform: Control, Govern and Manage Enterprise C...John Katrick
Jamcracker Cloud Management Platform provides a unified cloud management solution to integrate the disparate cloud environments. Allows you to control, govern and manage your enterprise cloud resources with automation, orchestration, policy enforcement and management tools. Visit https://www.jamcracker.com/cloud-management-platform to know more.
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using vir...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
At this year’s annual Design Automation Conference (DAC 2020), Rob Lalonde and Bill Bryce of Univa partnered with representatives from Google and Synopsys to discuss EDA in the Cloud and share best practices related to cloud migration.
Dimension data cloud for the enterprise architectDavid Sawatzke
Dimension Data’s Cloud ranges from completely automated, self-provisioning public services to fully customisable, tailored private and hosted cloud services. Our Cloud services are anchored by our multivendor systems integration and a comprehensive consulting/IT outsourcing/managed services portfolio and our edge is that our Cloud services combine the automation and orchestration of public cloud offerings with the service delivery maturity developed over 30 years of IT services experience. With ongoing development and significiant R&D investment we continue to innovate and grow ourcloud services capabilities
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
Savig cost using application level virtualizationNati Shalom
Saving cost using middleware and application level virtualization. This presentation provides description of the various cost saving elements beyond server-side consolidation. - Saving the cost of peak/static provisioning using on-demand scaling - Saving the downtime cost - Saving cost through outsourcing part of our application and operations to the cloud - Saving cost using application level optimization (doing more with less) - Saving cost using platform consolidation to reduce the number of software components as well as utilize OpenSource and more commodity Software packages Toward the end Jim Liddle provide real life case studies from iPhone launch in the UK and how those principles has been applied to enable successful launch in the UK. In addition to that Jim go through some of the motivations and case studies that led different telco and startup companies to utilize the cloud to gain better cost effectiveness.
Optimizing Your Cloud Applications in RightScaleRightScale
RightScale Conference Santa Clara 2011 - How do you tune application performance in the cloud? What if you want elasticity? We’ll talk through our experiences scaling and performance tuning the RightScale Cloud Management Platform in the cloud. Plus we’ll share tips for sizing, auto- scaling, monitoring, and troubleshooting large-scale cloud deployments.
Dynamic resource allocation using virtual machines for cloud computing enviro...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Virtualization Technology using Virtual Machines for Cloud ComputingIJMER
Cloud computing is the delivery of computing and storage capacity as a service to a community of end users. The name “cloud computing” comes from the use of a cloud-shaped symbol as an abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts services with a user's software, data and computation over a network. End users access cloud-based applications through a web browser or mobile application or a light-weight desktop while the business software and user's data are stored on servers at a remote location. Proponents claim that cloud computing environment allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT industry to more rapidly adjust resources to meet fluctuating and unpredictable business demand. In this paper, we present a system that uses virtualization technology to allocate the data center resources dynamically based on the application demands and support green computing by optimizing the number of servers in use. This method multiplexes virtual to physical resources adaptively based on the changing demand. We use the concept of skewness metric to combine virtual machines with different resource characteristics appropriately so that the capacities of servers are well utilized.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
DYNAMIC ALLOCATION METHOD FOR EFFICIENT LOAD BALANCING IN VIRTUAL MACHINES FO...acijjournal
This paper proposes a Dynamic resource allocation method for Cloud computing. Cloud computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. Users can set up
and boot the required resources and they have to pay only for the required resources. Thus, in the future providing a mechanism for efficient resource management and assignment will be an important objective of Cloud computing. In this project we propose a method, dynamic scheduling and consolidation mechanism that allocate resources based on the load of Virtual Machines (VMs) on Infrastructure as a service (IaaS). This method enables users to dynamically add and/or delete one or more instances on the basis of the load and the conditions specified by the user. Our objective is to develop an effective load balancing algorithm using Virtual Machine Monitoring to
maximize or minimize different performance parameters(throughput for example) for the Clouds of
different sizes (virtual topology de-pending on the application requirement).
Could the “C” in HPC stand for Cloud?This paper examines aspects of computing important in HPC (compute and network bandwidth, compute and network latency, memory size and bandwidth, I/O, and so on) and how they are affected by various virtualization technologies. For more information on IBM Systems, visit http://ibm.co/RKEeMO.
Visit the official Scribd Channel of IBM India Smarter Computing at http://bit.ly/VwO86R to get access to more documents.
Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Scalable face image retrieval using attribute enhanced sparse codewordsIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Reversible watermarking based on invariant image classification and dynamic h...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Noise reduction based on partial reference, dual-tree complex wavelet transfo...IEEEFINALYEARPROJECTS
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Local directional number pattern for face analysis face and expression recogn...IEEEFINALYEARPROJECTS
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An access point based fec mechanism for video transmission over wireless la nsIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Spoc a secure and privacy preserving opportunistic computing framework for mo...IEEEFINALYEARPROJECTS
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Secure and efficient data transmission for cluster based wireless sensor netw...IEEEFINALYEARPROJECTS
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Privacy preserving back propagation neural network learning over arbitrarily ...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Geo community-based broadcasting for data dissemination in mobile social netw...IEEEFINALYEARPROJECTS
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Enabling data dynamic and indirect mutual trust for cloud computing storage s...IEEEFINALYEARPROJECTS
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A secure protocol for spontaneous wireless ad hoc networks creationIEEEFINALYEARPROJECTS
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Utility privacy tradeoff in databases an information-theoretic approachIEEEFINALYEARPROJECTS
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
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.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
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/
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
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
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
Dynamic resource allocation using virtual machines for cloud computing environment
1. CLOUING
Dynamic Resource Allocation Using Virtual Machines for Cloud
Computing Environment
ABSTRACT:
Cloud computing allows business customers to scale up and down their resource usage based on
needs. Many of the touted gains in the cloud model come from resource multiplexing through
virtualization technology. In this paper, we present a system that uses virtualization technology
to allocate data center resources dynamically based on application demands and support green
computing by optimizing the number of servers in use. We introduce the concept of “skewness”
to measure the unevenness in the multidimensional resource utilization of a server. By
minimizing skewness, we can combine different types of workloads nicely and improve the
overall utilization of server resources. We develop a set of heuristics that prevent overload in
the system effectively while saving energy used. Trace driven simulation and experiment results
demonstrate that our algorithm achieves good performance.
EXISTING SYSTEM:
Virtual machine monitors (VMMs) like Xen provide a mechanism for mapping virtual
machines (VMs) to physical resources. This mapping is largely hidden from the cloud users.
GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
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2. Users with the Amazon EC2 service, for example, do not know where their VM instances run.
It is up to the cloud provider to make sure the underlying physical machines (PMs) have
sufficient resources to meet their needs. VM live migration technology makes it possible to
change the mapping between VMs and PMs While applications are running. The capacity of
PMs can also be heterogeneous because multiple generations of hardware coexist in a data
center.
DISADVANTAGES OF EXISTING SYSTEM:
A policy issue remains as how to decide the mapping adaptively so that the resource
demands of VMs are met while the number of PMs used is minimized.
This is challenging when the resource needs of VMs are heterogeneous due to the diverse
set of applications they run and vary with time as the workloads grow and shrink. The
two main disadvantages are overload avoidance and green computing.
PROPOSED SYSTEM:
In this paper, we present the design and implementation of an automated resource management
system that achieves a good balance between the two goals. Two goals are overload avoidance
and green computing.
1. Overload avoidance: The capacity of a PM should be sufficient to satisfy the resource
needs of all VMs running on it. Otherwise, the PM is overloaded and can lead to
degraded performance of its VMs.
2. Green computing: The number of PMs used should be minimized as long as they can
still satisfy the needs of all VMs. Idle PMs can be turned off to save energy.
3. ADVANTAGES OF PROPOSED SYSTEM:
We make the following contributions:
We develop a resource allocation system that can avoid overload in the system
effectively while minimizing the number of servers used.
We introduce the concept of “skewness” to measure the uneven utilization of a server. By
minimizing skewness, we can improve the overall utilization of servers in the face of
multidimensional resource constraints.
We design a load prediction algorithm that can capture the future resource usages of
applications accurately without looking inside the VMs. The algorithm can capture the
rising trend of resource usage patterns and help reduce the placement churn significantly.
SYSTEM ARCHITECTURE:
4. SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.
REFERENCE:
Zhen Xiao, Senior Member, IEEE, Weijia Song, and Qi Chen-“Dynamic Resource Allocation
Using Virtual Machines for Cloud Computing Environment”- IEEE TRANSACTIONS ON
PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 24, NO. 6, JUNE 2013.
