To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
AELCloud is an online platform for managing OrcaFlex analysis and running simulations on cloud servers. It provides unique scalability and traceability for dynamic analysis projects.
For more information go to:
www.agiletek.co.uk/aelcloud
or contact
london@agiletek.co.uk
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
AELCloud is an online platform for managing OrcaFlex analysis and running simulations on cloud servers. It provides unique scalability and traceability for dynamic analysis projects.
For more information go to:
www.agiletek.co.uk/aelcloud
or contact
london@agiletek.co.uk
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
An optimization framework for mobile data collection in energy harvesting wir...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
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A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
Different types of clients over the globe uses Cloud services because cloud computing involves various features and advantages such as building cost effectives solutions for business, scale resources up and down according to the current demand and many more. But from the cloud provider point of view, there are many challenges that need to be faced in order to ensure a hassle free service delivery to the clients. One such problem is to maintain high availability of services. This project aims at presenting a high available HA solution for business continuity and disaster recovery through configuration of various other services such as load balancing, elasticity and replication. Miss Pratiksha Bhagawati | Mrs. Priya N "A Study on Replication and Failover Cluster to Maximize System Uptime" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41249.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/41249/a-study-on-replication-and-failover-cluster-to-maximize-system-uptime/miss-pratiksha-bhagawati
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Probabilistic Programming for Dynamic Data Assimilation on an Agent-Based ModelNick Malleson
Usually in computer programming, variables are usually assigned to specific values (e.g. a virtual person in a computer simulation might have an 'age' variable which stores a number). Probabilistic programming, on the other hand, allows you to represent _random variables_. These are variables whose values we do not know precisely, so can be represented by a probability distribution rather than a single value.
This is potentially a very elegant way of capturing uncertainty in our models. However, using the probabilistic programming approach for agent-based modelling raises a number of questions. In the following slides, LIDA data science intern Luke Archer introduces his recent work that explores the use of probabilistic programming libraries for building agent-based models.
An optimization framework for mobile data collection in energy harvesting wir...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
A Study on Replication and Failover Cluster to Maximize System UptimeYogeshIJTSRD
Different types of clients over the globe uses Cloud services because cloud computing involves various features and advantages such as building cost effectives solutions for business, scale resources up and down according to the current demand and many more. But from the cloud provider point of view, there are many challenges that need to be faced in order to ensure a hassle free service delivery to the clients. One such problem is to maintain high availability of services. This project aims at presenting a high available HA solution for business continuity and disaster recovery through configuration of various other services such as load balancing, elasticity and replication. Miss Pratiksha Bhagawati | Mrs. Priya N "A Study on Replication and Failover Cluster to Maximize System Uptime" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41249.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/41249/a-study-on-replication-and-failover-cluster-to-maximize-system-uptime/miss-pratiksha-bhagawati
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud availability
1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com
Scalable Analytics for IaaS Cloud Availability
Abstract—
In a large Infrastructure-as-a-Service (IaaS) cloud, component failures are quite
common. Such failures may lead tooccasional system downtime and eventual
violation of Service Level Agreements (SLAs) on the cloud service availability.
Theavailability analysis of the underlying infrastructure is useful to the service
provider to design a system capable of providing a definedSLA, as well as to
evaluate the capabilities of an existing one. This paper presents a scalable,
stochastic model-driven approach toquantify the availability of a large-scale
IaaS cloud, where failures are typically dealt with through migration of physical
machinesamong three pools: hot (running), warm (turned on, but not ready), and
cold (turned off). Since monolithic models do not scale for largesystems, we use
an interacting Markov chain based approach to demonstrate the eduction in the
complexity of analysis and thesolution time. The three pools are modeled by
interacting sub-models. Dependencies among them are resolved using fixed-pointiteration,
for which existence of a solution is proved. The analytic-numeric
solutions obtained from the proposed approach and from the
2. monolithic model are compared. We show that the errors introduced by
interacting sub-models are insignificant and that our approachcan handle very
large size IaaS clouds. The simulative solution is also considered for the
proposed model, and solution time of themethods are compared.
EXISTING SCHEME
The availability analysis of the underlying infrastructure is useful to the service
provider to design a system capable of providing a definedSLA, as well as to
evaluate the capabilities of an existing one. The three pools are modeled by
interacting sub-models. Dependencies among them are resolved using fixed-point
iteration, for which existence of a solution is proved..Many of the existing
published models are hierarchical in nature. In our case, complexity and
characteristics of large IaaS clouds (e.g., migration of PMs from one
pool to another) lead to cyclic dependency among the submodels,needing fixed-point
iteration.
PROPOSED SCHEME
The analytic-numeric solutions obtained from the proposed approach and from
themonolithic model are compared. We show that the errors introduced by
interacting sub-models are insignificant and that our approachcan handle very
large size IaaS clouds. The simulative solution is also considered for the
proposed model, and solution time of themethods are compared. We state the
availability assessment problem for anIaaScloud and propose a realistic
3. monolithicmodel representative of the state-of-the-arts. an interacting sub-models
approach tosolve the largeness problem of the monolithic availability
model . The overall model solutionis obtained by fixed-point iteration over
individualsub-model solutions. To solve such problems, the hierarchical
composition is introduced in (and many other papersand books), where a two-level
hierarchical model is proposed.Each subsystem is modeled by a Markov
chain andthe system. The specific case of cloud computing, some modeling
approaches focusing on dependability aspects have beenproposed in recent
years. The scalable stochasticapproach that we describe can be complementary
to thiswork as the measured failure/repair rates of hardware componentscan be
used to parameterize the model we propose. an anomaly prediction system
(ALERT) forachieving robust hosting infrastructures is proposed. In special
cases, closed form solutions canalso be derived to solve very large cloud models
quickly.Cloud service providers can benefit from the proposedmodeling
approach during design, development, testingand operation of IaaS cloud.
CONCLUSIONS
This paper describes a stochastic modeling approach foravailability analysis of
large IaaS cloud systems. We showhow scalability issues for a monolithic
model can beresolved by means of interacting sub-models or by means of
simulation. The interacting sub-models approach quicklyprovides model
solutions facilitating scalability without significantlycompromising the
accuracy. Simulation providesresults that closely match with monolithic and
interactingsub-models approaches and, for large systems, results areobtained
faster. In special cases, closed form solutions canalso be derived to solve very
large cloud models quickly.Cloud service providers can benefit from
theproposedmodeling approach during design, development, testingand
operation of IaaS cloud. During design and development,providers can use these
4. models to determine the poolsize required to offer a specific availability SLA.
In the testingand operational stages, the providers can tune parametersfor the
dynamic repair strategies (e.g., number ofparallel repairs, automated versus
manual repairs) to maintainthe promised availability SLA.
System Requirements:
Hardware Requirements:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 44 Mb.
Monitor : 15 VGA Colour.
Ram : 512 Mb.
Software Requirements:
Operating system : Windows XP/7.
Coding Language : net, C#.net
Tool : Visual Studio 2010