14
โขDownload as DOCX, PDFโข
0 likesโข25 views
The document discusses optimal configuration of multi-server systems in cloud computing environments to maximize profit. It presents a pricing model that considers factors like workload, system configuration, service level agreements, consumer satisfaction, service quality, penalties for low quality, rental costs, energy costs, and margins/profits. The optimization problem formulates the multi-server system as an M/M/m queueing model to analytically determine the optimal configuration under two server speed/power models.
Report
Share
Report
Share
Recommended
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3etechnologies.com, www.i3eprojects.com
ArrayComm Overview Brochure
The document discusses a software solution called A-MAS from ArrayComm that provides multi-antenna signal processing for wireless networks. It offers the highest performance, easiest implementation, and lowest risk. A-MAS is able to expand network performance in coverage, capacity, and range simultaneously. It also improves network economics by increasing coverage and capacity while reducing costs. ArrayComm invites companies to test A-MAS themselves.
Optimal multiserver configuration for profit
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.
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...
1 CRORE PROJECTS offers M.E, BE, M. Tech, B. Tech, PhD, MCA, BCA, MSC & MBA projects based on IEEE (2014-2015) and also a real time application projects.
Final Year Projects for BE, B. Tech - ECE, EEE, CSE, IT, MCA, ME, M. Tech, M SC (IT), BCA, BSC and MBA.
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...Shakas Technologies
The document proposes a double resource renting scheme for cloud computing platforms that combines short-term and long-term resource renting. This is designed to maximize profits while guaranteeing quality of service. An M/M/m+D queuing model is used to analyze the performance of the system. The scheme formulates a profit maximization problem to determine the optimal configuration of resources. Calculations show this double renting scheme achieves higher profits compared to single renting schemes, while guaranteeing quality of service for all requests.ย
A Profit Maximization Scheme with Guaranteed1 (1)
This document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term renting. It defines a profit maximization problem to determine the optimal configuration of servers and queue capacity. An M/M/m+D queuing model is used to analyze factors like average charge and temporary server usage. The double renting scheme is shown to guarantee quality of service for all requests while reducing waste and generating more profit compared to single renting schemes.
Optimal multiserver configuration for profit maximization in cloud computing
This document discusses optimal multiserver configuration for profit maximization in cloud computing. It studies how to maximize profit by understanding service charges, business costs, and how they are determined by application characteristics and server configuration. The paper formulates an optimization problem using an M/M/m queuing model to determine the optimal server size and speed under two server speed/power models. It derives the probability density function of request wait time and calculates expected service charge and net business gain to determine the optimal configuration numerically.
Homework2
This document proposes using machine learning and data mining to optimize resource allocation and energy consumption across multiple interconnected data centers. It aims to balance revenues, quality of service, and energy costs by predicting virtual machine behavior and automatically scheduling VMs across data centers. The model considers factors like response time, CPU usage, and memory usage to minimize costs while meeting service level agreements for quality of service. Future work could incorporate more cost factors, green energy usage, and online learning to adapt to changing conditions.
Recommended
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3etechnologies.com, www.i3eprojects.com
ArrayComm Overview Brochure
The document discusses a software solution called A-MAS from ArrayComm that provides multi-antenna signal processing for wireless networks. It offers the highest performance, easiest implementation, and lowest risk. A-MAS is able to expand network performance in coverage, capacity, and range simultaneously. It also improves network economics by increasing coverage and capacity while reducing costs. ArrayComm invites companies to test A-MAS themselves.
Optimal multiserver configuration for profit
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.
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...
1 CRORE PROJECTS offers M.E, BE, M. Tech, B. Tech, PhD, MCA, BCA, MSC & MBA projects based on IEEE (2014-2015) and also a real time application projects.
Final Year Projects for BE, B. Tech - ECE, EEE, CSE, IT, MCA, ME, M. Tech, M SC (IT), BCA, BSC and MBA.
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...Shakas Technologies
The document proposes a double resource renting scheme for cloud computing platforms that combines short-term and long-term resource renting. This is designed to maximize profits while guaranteeing quality of service. An M/M/m+D queuing model is used to analyze the performance of the system. The scheme formulates a profit maximization problem to determine the optimal configuration of resources. Calculations show this double renting scheme achieves higher profits compared to single renting schemes, while guaranteeing quality of service for all requests.ย
A Profit Maximization Scheme with Guaranteed1 (1)
This document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term renting. It defines a profit maximization problem to determine the optimal configuration of servers and queue capacity. An M/M/m+D queuing model is used to analyze factors like average charge and temporary server usage. The double renting scheme is shown to guarantee quality of service for all requests while reducing waste and generating more profit compared to single renting schemes.
Optimal multiserver configuration for profit maximization in cloud computing
This document discusses optimal multiserver configuration for profit maximization in cloud computing. It studies how to maximize profit by understanding service charges, business costs, and how they are determined by application characteristics and server configuration. The paper formulates an optimization problem using an M/M/m queuing model to determine the optimal server size and speed under two server speed/power models. It derives the probability density function of request wait time and calculates expected service charge and net business gain to determine the optimal configuration numerically.
Homework2
This document proposes using machine learning and data mining to optimize resource allocation and energy consumption across multiple interconnected data centers. It aims to balance revenues, quality of service, and energy costs by predicting virtual machine behavior and automatically scheduling VMs across data centers. The model considers factors like response time, CPU usage, and memory usage to minimize costs while meeting service level agreements for quality of service. Future work could incorporate more cost factors, green energy usage, and online learning to adapt to changing conditions.
A profit maximization scheme with guaranteed quality of service in cloud comp...
A profit maximization scheme with guaranteed quality of service in cloud comp...Pvrtechnologies Nellore
- The document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term server renting. This aims to guarantee quality of service for all requests while reducing resource waste.
- A profit maximization problem is formulated to determine the optimal configuration of servers. Solutions are obtained for ideal and actual scenarios to maximize profit compared to a single renting scheme.
- Comparisons show the double renting scheme can guarantee complete service quality and obtain more profit than a single renting scheme that does not ensure quality of service.ย
Revenue Maximization with Good Quality of Service in Cloud Computing
Cloud computing enables people to use resources and services without implementing them on their systems. Profit and quality of service is the most important factor for service providers and it is mainly determined by the configuration of a cloud service platform under given market demand. Single long term renting scheme is usually adopted to design a cloud platform which leads to resource waste and having more renting charges. The novel double renting scheme which is combination of short term and long term renting is aiming at existing issue. This double renting scheme will effectively and efficiently promises a good quality of service of all request and reduces the resource waste significantly. It also provides services with lower cost compared to short term renting scheme. It uses optimal queuing model to maximize the profit. That means the users can access the services simultaneously. The main objective of proposed system is, to maximize profit of service provider by providing efficient and effective services to user.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
1) A double resource renting scheme is proposed that combines short-term and long-term server renting to guarantee quality of service while maximizing cloud provider profits.
2) An M/M/m+D queuing model is used to represent the cloud system and analyze key performance indicators.
3) An optimal configuration problem is formulated and solved to determine the profit-maximizing number of long-term servers, balancing rental costs against meeting service-level agreements.
A profit maximization scheme with guaranteed
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
This document proposes a double resource renting scheme for cloud service providers to maximize profit while guaranteeing quality of service. It models the cloud system as an M/M/m+D queuing model. The scheme combines long-term and short-term server rentals to provide the necessary computing capacity over time. An optimization problem is formulated to determine the optimal server configuration that maximizes profit by balancing rental costs against increased revenue from meeting quality guarantees. Comparisons show the double renting scheme achieves higher profit than single renting while guaranteeing all requests are served on time.
A profit maximization scheme with guaranteed quality of service in cloud comp...
The document proposes a double resource renting scheme for cloud service providers to maximize profits while guaranteeing quality of service. It involves combining short-term and long-term server renting to adapt to varying demand and reduce waste. The system is modeled as an M/M/m+D queuing model. An optimization problem is formulated to determine the optimal server configuration. Comparisons show the double renting scheme achieves higher profits compared to single renting while guaranteeing quality of service.
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...
Cloud computing has recently emerged as one of the buzzwords in the IT industry. Several IT vendors are promising to offer computation, data/storage, and application hosting services, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. While these โcloudsโ are the natural evolution of traditional clusters and data centers, they are distinguished by following a pricing model where customers are charged based on their utilization of computational resources, storage and transfer of data. They offer subscription-based access to infrastructure, platforms, and applications that are popularly termed as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). In order to improve the profit of service providers we implement a technique called hybrid pricing , where this hybrid pricing model is a pooled with fixed and spot pricing techniques.
IEEE Cloud computing 2016 Title and Abstract
For Details, Contact TSYS Academic Projects.
Ph: 9841103123, 044-42607879
Website: http://www.tsys.co.in/
Mail Id: tsysglobalsolutions2014@gmail.com.
Sla based optimization of power and migration cost in cloud computing
This document summarizes a research paper about optimizing power consumption and migration costs in cloud computing systems while meeting service level agreements (SLAs). The paper presents an algorithm to solve the resource allocation problem of minimizing total energy costs while probabilistically meeting client SLAs specifying upper bounds on service times. The algorithm uses convex optimization and dynamic programming. Simulation results show the algorithm is more effective than previous approaches at optimizing power and migration costs under SLAs.
Lecture 15.ppt
This document discusses cloud economics and cost management in cloud computing. It covers key topics like total cost of ownership, the switch from capital expenses to operating expenses in cloud, elasticity which allows paying only for resources used, and on-demand pricing. The document emphasizes the importance of visibility, cost analytics, and role-based access controls to effectively manage cloud costs over time and optimize spending. Cloud computing aims to reduce infrastructure costs through its pay-as-you-go model while removing maintenance and administrative costs traditionally associated with on-premises systems.
Performance Evaluation of Virtualization Technologies for Server
Performance Evaluation of Virtualization Technologies for ServerMd.Khalid Saifullah Gazi(CCNA,RHCE,MSc in Computer Science)
The document discusses server virtualization and consolidation in enterprise data centers. It notes that many servers are underutilized but some become overloaded during peaks, and server consolidation aims to increase utilization while maintaining performance. Two main virtualization technologies are hypervisor-based (e.g. VMware, Xen) and operating system-level (e.g. OpenVZ, Linux VServer). The document evaluates the performance and scalability of a multi-tier application running on these virtualization platforms under different consolidation scenarios. It also examines the impact on underlying system metrics to understand virtualization overhead.ย
Cloud IT Economics: What you don't know about TCO can hurt you
An e-book that explores factors beyond basic price that impact the true cost of ownership for cloud implementations by comparing and contrasting prevalent approaches, using common enterprise workloads, from three prominent cloud service providers.
Why Should You Invest In The Cloud?
There are several ways to calculate the return on investment (ROI) of cloud computing initiatives. Key performance indicators compare metrics like cost, time, quality and profitability between cloud and traditional IT. ROI models also compare savings from cost, time and quality improvements. Specific ways cloud provides ROI include optimizing resources, increasing flexibility, enabling faster decision making, reducing costs through scale and specialization, and improving quality of service. Measuring factors like customer churn rate also helps evaluate cloud initiatives.
20150113
This document proposes a framework called SLA-Based resource allocation to reduce infrastructure costs and minimize violations of service level agreements (SLAs) for Software as a Service (SaaS) providers. The framework maps customer requests to infrastructure parameters, handles dynamic changes in customer demands, and allocates virtual machines based on SLAs while considering heterogeneity of resources. The goal is to maximize the SaaS provider's profit by optimizing resource usage and reducing penalties from SLA violations when customers dynamically change resource sharing.
Jayant Ghorpade - Cloud Computing White Paper
This document summarizes a paper that proposes a mechanism for securely outsourcing linear programming computations to cloud computing services. It involves encrypting sensitive data before outsourcing using RSA encryption. A service selector service directs requests to encryption or decryption services. Encrypted data is divided and distributed across multiple cloud providers using a data distribution service and tag definitions. Decryption reconverts the encrypted results back to plaintext. The goal is to enable secure outsourcing of computations while protecting sensitive data and validating accurate results through encryption, distribution of encrypted data pieces, and decryption verification.
Intelligent Workload Management in Virtualized Cloud Environment
Abstractโ Cloud computing is a rising high performance computing environment with a huge scale, heterogeneous collection of self-sufficient systems and elastic computational design. To develop the overall performance of cloud computing, through the deadline constraint, a task scheduling replica is traditional for falling the system power utilization of cloud computing and recovering the yield of service providers. To improve the overall act of cloud environment, with the deadline constraint, a task scheduling model is conventional for reducing the system performance time of cloud computing and improving the profit of service providers. In favor of scheduling replica, a solving technique based on multi-objective genetic algorithm (MO-GA) is considered and the study is determined on programming rules, intersect operators, mixture operators and the scheme of arrangement of Pareto solutions. The model is designed based on open source cloud computing simulation platform CloudSim, to obtainable scheduling algorithms, the result shows that the proposed algorithm can obtain an enhanced solution, thus balancing the load for the concert of multiple objects.
17
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
16
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
More Related Content
Similar to 14
A profit maximization scheme with guaranteed quality of service in cloud comp...
A profit maximization scheme with guaranteed quality of service in cloud comp...Pvrtechnologies Nellore
- The document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term server renting. This aims to guarantee quality of service for all requests while reducing resource waste.
- A profit maximization problem is formulated to determine the optimal configuration of servers. Solutions are obtained for ideal and actual scenarios to maximize profit compared to a single renting scheme.
- Comparisons show the double renting scheme can guarantee complete service quality and obtain more profit than a single renting scheme that does not ensure quality of service.ย
Revenue Maximization with Good Quality of Service in Cloud Computing
Cloud computing enables people to use resources and services without implementing them on their systems. Profit and quality of service is the most important factor for service providers and it is mainly determined by the configuration of a cloud service platform under given market demand. Single long term renting scheme is usually adopted to design a cloud platform which leads to resource waste and having more renting charges. The novel double renting scheme which is combination of short term and long term renting is aiming at existing issue. This double renting scheme will effectively and efficiently promises a good quality of service of all request and reduces the resource waste significantly. It also provides services with lower cost compared to short term renting scheme. It uses optimal queuing model to maximize the profit. That means the users can access the services simultaneously. The main objective of proposed system is, to maximize profit of service provider by providing efficient and effective services to user.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
1) A double resource renting scheme is proposed that combines short-term and long-term server renting to guarantee quality of service while maximizing cloud provider profits.
2) An M/M/m+D queuing model is used to represent the cloud system and analyze key performance indicators.
3) An optimal configuration problem is formulated and solved to determine the profit-maximizing number of long-term servers, balancing rental costs against meeting service-level agreements.
A profit maximization scheme with guaranteed
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
This document proposes a double resource renting scheme for cloud service providers to maximize profit while guaranteeing quality of service. It models the cloud system as an M/M/m+D queuing model. The scheme combines long-term and short-term server rentals to provide the necessary computing capacity over time. An optimization problem is formulated to determine the optimal server configuration that maximizes profit by balancing rental costs against increased revenue from meeting quality guarantees. Comparisons show the double renting scheme achieves higher profit than single renting while guaranteeing all requests are served on time.
A profit maximization scheme with guaranteed quality of service in cloud comp...
The document proposes a double resource renting scheme for cloud service providers to maximize profits while guaranteeing quality of service. It involves combining short-term and long-term server renting to adapt to varying demand and reduce waste. The system is modeled as an M/M/m+D queuing model. An optimization problem is formulated to determine the optimal server configuration. Comparisons show the double renting scheme achieves higher profits compared to single renting while guaranteeing quality of service.
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...
Cloud computing has recently emerged as one of the buzzwords in the IT industry. Several IT vendors are promising to offer computation, data/storage, and application hosting services, offering Service-Level Agreements (SLA) backed performance and uptime promises for their services. While these โcloudsโ are the natural evolution of traditional clusters and data centers, they are distinguished by following a pricing model where customers are charged based on their utilization of computational resources, storage and transfer of data. They offer subscription-based access to infrastructure, platforms, and applications that are popularly termed as IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service). In order to improve the profit of service providers we implement a technique called hybrid pricing , where this hybrid pricing model is a pooled with fixed and spot pricing techniques.
IEEE Cloud computing 2016 Title and Abstract
For Details, Contact TSYS Academic Projects.
Ph: 9841103123, 044-42607879
Website: http://www.tsys.co.in/
Mail Id: tsysglobalsolutions2014@gmail.com.
Sla based optimization of power and migration cost in cloud computing
This document summarizes a research paper about optimizing power consumption and migration costs in cloud computing systems while meeting service level agreements (SLAs). The paper presents an algorithm to solve the resource allocation problem of minimizing total energy costs while probabilistically meeting client SLAs specifying upper bounds on service times. The algorithm uses convex optimization and dynamic programming. Simulation results show the algorithm is more effective than previous approaches at optimizing power and migration costs under SLAs.
Lecture 15.ppt
This document discusses cloud economics and cost management in cloud computing. It covers key topics like total cost of ownership, the switch from capital expenses to operating expenses in cloud, elasticity which allows paying only for resources used, and on-demand pricing. The document emphasizes the importance of visibility, cost analytics, and role-based access controls to effectively manage cloud costs over time and optimize spending. Cloud computing aims to reduce infrastructure costs through its pay-as-you-go model while removing maintenance and administrative costs traditionally associated with on-premises systems.
Performance Evaluation of Virtualization Technologies for Server
Performance Evaluation of Virtualization Technologies for ServerMd.Khalid Saifullah Gazi(CCNA,RHCE,MSc in Computer Science)
The document discusses server virtualization and consolidation in enterprise data centers. It notes that many servers are underutilized but some become overloaded during peaks, and server consolidation aims to increase utilization while maintaining performance. Two main virtualization technologies are hypervisor-based (e.g. VMware, Xen) and operating system-level (e.g. OpenVZ, Linux VServer). The document evaluates the performance and scalability of a multi-tier application running on these virtualization platforms under different consolidation scenarios. It also examines the impact on underlying system metrics to understand virtualization overhead.ย
Cloud IT Economics: What you don't know about TCO can hurt you
An e-book that explores factors beyond basic price that impact the true cost of ownership for cloud implementations by comparing and contrasting prevalent approaches, using common enterprise workloads, from three prominent cloud service providers.
Why Should You Invest In The Cloud?
There are several ways to calculate the return on investment (ROI) of cloud computing initiatives. Key performance indicators compare metrics like cost, time, quality and profitability between cloud and traditional IT. ROI models also compare savings from cost, time and quality improvements. Specific ways cloud provides ROI include optimizing resources, increasing flexibility, enabling faster decision making, reducing costs through scale and specialization, and improving quality of service. Measuring factors like customer churn rate also helps evaluate cloud initiatives.
20150113
This document proposes a framework called SLA-Based resource allocation to reduce infrastructure costs and minimize violations of service level agreements (SLAs) for Software as a Service (SaaS) providers. The framework maps customer requests to infrastructure parameters, handles dynamic changes in customer demands, and allocates virtual machines based on SLAs while considering heterogeneity of resources. The goal is to maximize the SaaS provider's profit by optimizing resource usage and reducing penalties from SLA violations when customers dynamically change resource sharing.
Jayant Ghorpade - Cloud Computing White Paper
This document summarizes a paper that proposes a mechanism for securely outsourcing linear programming computations to cloud computing services. It involves encrypting sensitive data before outsourcing using RSA encryption. A service selector service directs requests to encryption or decryption services. Encrypted data is divided and distributed across multiple cloud providers using a data distribution service and tag definitions. Decryption reconverts the encrypted results back to plaintext. The goal is to enable secure outsourcing of computations while protecting sensitive data and validating accurate results through encryption, distribution of encrypted data pieces, and decryption verification.
Intelligent Workload Management in Virtualized Cloud Environment
Abstractโ Cloud computing is a rising high performance computing environment with a huge scale, heterogeneous collection of self-sufficient systems and elastic computational design. To develop the overall performance of cloud computing, through the deadline constraint, a task scheduling replica is traditional for falling the system power utilization of cloud computing and recovering the yield of service providers. To improve the overall act of cloud environment, with the deadline constraint, a task scheduling model is conventional for reducing the system performance time of cloud computing and improving the profit of service providers. In favor of scheduling replica, a solving technique based on multi-objective genetic algorithm (MO-GA) is considered and the study is determined on programming rules, intersect operators, mixture operators and the scheme of arrangement of Pareto solutions. The model is designed based on open source cloud computing simulation platform CloudSim, to obtainable scheduling algorithms, the result shows that the proposed algorithm can obtain an enhanced solution, thus balancing the load for the concert of multiple objects.
Similar to 14 (20)
A profit maximization scheme with guaranteed quality of service in cloud comp...
A profit maximization scheme with guaranteed quality of service in cloud comp...
ย
Revenue Maximization with Good Quality of Service in Cloud Computing
Revenue Maximization with Good Quality of Service in Cloud Computing
ย
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...
ย
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
ย
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
A PROFIT MAXIMIZATION SCHEME WITH GUARANTEED QUALITY OF SERVICE IN CLOUD COMP...
ย
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
ย
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Com...
ย
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ENERGY-AWARE LOAD BALANCING AND APPLICATION SCALING FOR THE CLOUD ECOSYSTEM
ย
A profit maximization scheme with guaranteed quality of service in cloud comp...
A profit maximization scheme with guaranteed quality of service in cloud comp...
ย
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...
ย
Sla based optimization of power and migration cost in cloud computing
Sla based optimization of power and migration cost in cloud computing
ย
Performance Evaluation of Virtualization Technologies for Server
Performance Evaluation of Virtualization Technologies for Server
ย
Cloud IT Economics: What you don't know about TCO can hurt you
Cloud IT Economics: What you don't know about TCO can hurt you
ย
Intelligent Workload Management in Virtualized Cloud Environment
Intelligent Workload Management in Virtualized Cloud Environment
ย
More from IMPULSE_TECHNOLOGY
17
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
16
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
15
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
25
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
24
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
23
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
22
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
21
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
20
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
19
CTVS is a novel data extraction and alignment method that combines tag and value similarity to extract data from query result pages. It first identifies and segments query result records in the pages and aligns them into a table with data values from the same attribute in the same column. CTVS handles cases where records are not contiguous due to auxiliary information and any nested structures within records. It also designs a new record alignment algorithm that aligns attributes pairwise and holistically using tag and value similarity. Experimental results show CTVS achieves high precision and outperforms existing methods.
18
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
16
The document discusses a new algorithm for topic mining over asynchronous text sequences. The algorithm aims to explore correlations between multiple related text sequences that may have different time stamps. It consists of two alternating steps: 1) extracting common topics from sequences based on adjusted time stamps, and 2) adjusting time stamps according to the discovered topic time distributions. The approach is evaluated on research papers and news articles, demonstrating effectiveness in identifying topics across asynchronously published documents.
15
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
14
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
13
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
12
The document presents a new approach called TSCAN for temporally summarizing topics from a collection of documents. TSCAN first derives the major themes of a topic from the eigenvectors of a temporal block association matrix. It then extracts significant events and their summaries for each theme by examining the eigenvectors. Finally, it associates the extracted events based on their temporal closeness and context similarity to form an evolution graph of the topic. Experiments on the TDT4 corpus show that temporal summaries generated by TSCAN present topics in a comprehensible form and are superior to existing summarization methods based on human references.
11
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
10
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
9
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
8
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
Recently uploaded
220711130100 udita Chakraborty Aims and objectives of national policy on inf...
Aims and objectives of national policy on information and communication technology(ICT) in school education in india
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as discipline
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
INDIA`S OWN LITERARY GENIUS MR.KHUSHWANT SINGH WAS TRULY A VERY BRAVE SOUL AND WAS AWARDED WITH THE MAGIC OF WORDS BY GOD.
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!ย
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Educational Technology in the Health Sciences
Plenary presentation at the NTTC Inter-university Workshop, 18 June 2024, Manila Prince Hotel.
skeleton System.pdf (skeleton system wow)
๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
โ โุฅุถุบ ุจูู ุฅูุฏููู
โู
ู ุฃููู ุงูู
ูุงุฒู
ุงูุชู ุตู
ู
ุชูุง
ู
ูุฒู
ุฉ ุชุดุฑูุญ ุงูุฌูุงุฒ ุงูููููู (ูุธุฑู 3)
๐๐๐๐๐๐๐๐๐๐
ุชุชู
ูุฒ ูุฐูู ุงูู
ูุฒู
ุฉ ุจุนูุฏุฉ ู
ูู
ูุฒุงุช :
1- ู
ูุชุฑุฌู
ุฉ ุชุฑุฌู
ุฉ ุชููุงุณุจ ุฌู
ูุน ุงูู
ุณุชููุงุช
2- ุชุญุชูู ุนูู 78 ุฑุณู
ุชูุถูุญู ููู ููู
ุฉ ู
ูุฌูุฏุฉ ุจุงูู
ูุฒู
ุฉ (ููู ููู
ุฉ !!!!)
#ููู
_ู
ุงูู_ุฏุฑุฎ
3- ุฏูุฉ ุงููุชุงุจุฉ ูุงูุตูุฑ ุนุงููุฉ ุฌุฏุงู ุฌุฏุงู ุฌุฏุงู
4- ูููุงูู ุจุนุถ ุงูู
ุนููู
ุงุช ุชู
ุชูุถูุญูุง ุจุดูู ุชูุตููู ุฌุฏุงู (ุชูุนุชุจุฑ ูุฏู ุงูุทุงูุจ ุฃู ุงูุทุงูุจุฉ ุจุฅููุง ู
ุนููู
ุงุช ู
ูุจูู
ุฉ ูู
ุน ุฐูู ุชู
ุชูุถูุญ ูุฐูู ุงูู
ุนููู
ุงุช ุงูู
ูุจูู
ุฉ ุจุดูู ุชูุตููู ุฌุฏุงู
5- ุงูู
ูุฒู
ุฉ ุชุดุฑุญ ููุณูุง ุจ ููุณูุง ุจุณ ุชููู ุชุนุงู ุงูุฑุงูู
6- ุชุญุชูู ุงูู
ูุฒู
ุฉ ูู ุงูู ุณูุงูุฏ ุนูู ุฎุงุฑุทุฉ ุชุชุถู
ู ุฌู
ูุน ุชูุฑูุนุงุช ู
ุนููู
ุงุช ุงูุฌูุงุฒ ุงูููููู ุงูู
ุฐููุฑุฉ ูู ูุฐูู ุงูู
ูุฒู
ุฉ
ูุงุฎูุฑุงู ูุฐูู ุงูู
ูุฒู
ุฉ ุญูุงูู ุนูููู
ูุฅุชู
ูู ู
ููู
ุฅู ุชุฏุนููู ุจุงูุฎูุฑ ูุงูุตุญุฉ ูุงูุนุงููุฉ ููุท
ูู ุงูุชูููู ุฒู
ูุงุฆู ูุฒู
ููุงุชู ุ ุฒู
ูููู
ู
ุญู
ุฏ ุงูุฐูุจู ๐๐
๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
BรI TแบฌP Bแป TRแปข TIแบพNG ANH LแปP 8 - Cแบข NฤM - FRIENDS PLUS - NฤM HแปC 2023-2024 (B...
BรI TแบฌP Bแป TRแปข TIแบพNG ANH LแปP 8 - Cแบข NฤM - FRIENDS PLUS - NฤM HแปC 2023-2024 (B...Nguyen Thanh Tu Collection
https://app.box.com/s/nrwz52lilmrw6m5kqeqn83q6vbdp8yzpย
220711130082 Srabanti Bag Internet Resources For Natural Science
Internet resources for natural science
How to Download & Install Module From the Odoo App Store in Odoo 17
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
How to Fix [Errno 98] address already in use
This slide will represent the cause of the error โ[Errno 98] address already in useโ and the troubleshooting steps to resolve this error in Odoo.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin ๐๐ค๐ค๐ฅฐ
Recently uploaded (20)
220711130100 udita Chakraborty Aims and objectives of national policy on inf...
220711130100 udita Chakraborty Aims and objectives of national policy on inf...
ย
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
ย
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
KHUSWANT SINGH.pptx ALL YOU NEED TO KNOW ABOUT KHUSHWANT SINGH
ย
Gender and Mental Health - Counselling and Family Therapy Applications and In...
Gender and Mental Health - Counselling and Family Therapy Applications and In...
ย
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) Curriculum
ย
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...
ย
BรI TแบฌP Bแป TRแปข TIแบพNG ANH LแปP 8 - Cแบข NฤM - FRIENDS PLUS - NฤM HแปC 2023-2024 (B...
BรI TแบฌP Bแป TRแปข TIแบพNG ANH LแปP 8 - Cแบข NฤM - FRIENDS PLUS - NฤM HแปC 2023-2024 (B...
ย
220711130082 Srabanti Bag Internet Resources For Natural Science
220711130082 Srabanti Bag Internet Resources For Natural Science
ย
How to Download & Install Module From the Odoo App Store in Odoo 17
How to Download & Install Module From the Odoo App Store in Odoo 17
ย
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...
ย
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
A Free 200-Page eBook ~ Brain and Mind Exercise.pptx
ย
14
- 1. Impulse Technologies Beacons U to World of technology ๏จ044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Optimal Multiserver Configuration for Profit Maximization in Cloud Computing Abstractโ As cloud computing becomes more and more popular, understanding the economics of cloud computing becomes critically important. To maximize the profit, a service provider should understand both service charges and business costs, and how they are determined by the characteristics of the applications and the configuration of a multiserver system. The problem of optimal multiserver configuration for profit maximization in a cloud computing environment is studied. Our pricing model takes such factors into considerations as the amount of a service, the workload of an application environment, the configuration of a multiserver system, the service level agreement, the satisfaction of a consumer, the quality of a service, the penalty of a low quality service, the cost of renting, the cost of energy consumption, and a service providerโs margin and profit. Our approach is to treat a multiserver system as an M/M/m queueing model, such that our optimization problem can be formulated and solved analytically. Two server speed and power consumption models are considered, namely, the idle-speed model and the constantspeed model. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1