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.
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...1crore projects
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...Nexgen Technology
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
Revenue Maximization with Good Quality of Service in Cloud ComputingINFOGAIN PUBLICATION
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...1crore projects
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
Pricing Models for Cloud Computing Services, a SurveyEditor IJCATR
Recently, citizens and companies can access utility computing services by using Cloud Computing. These services such as
infrastructures, platforms and applications could be accessed on-demand whenever it is needed. In Cloud Computing, different types of
resources would be required to provide services, but the demands such as requests rates and user's requirements of these services and
the cost of the required resources are continuously varying. Therefore, Service Level Agreements would be needed to guarantee the
service's prices and the offered Quality of Services which are always dependable and interrelated to guarantee revenues maximization
for cloud providers as well as improve customers' satisfaction level. Cloud consumers are always searching for a cloud provider who
provides good service with the least price, so Cloud provider should use advanced technologies and frameworks to increase QoS, and
decrease cost. This paper provides a survey on cloud pricing models and analyzes the recent and relevant research in this field.
IEEE 2015-2016 A Profit Maximization Scheme with Guaranteed Quality of Servic...1crore projects
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...Nexgen Technology
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
Revenue Maximization with Good Quality of Service in Cloud ComputingINFOGAIN PUBLICATION
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...1crore projects
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
Pricing Models for Cloud Computing Services, a SurveyEditor IJCATR
Recently, citizens and companies can access utility computing services by using Cloud Computing. These services such as
infrastructures, platforms and applications could be accessed on-demand whenever it is needed. In Cloud Computing, different types of
resources would be required to provide services, but the demands such as requests rates and user's requirements of these services and
the cost of the required resources are continuously varying. Therefore, Service Level Agreements would be needed to guarantee the
service's prices and the offered Quality of Services which are always dependable and interrelated to guarantee revenues maximization
for cloud providers as well as improve customers' satisfaction level. Cloud consumers are always searching for a cloud provider who
provides good service with the least price, so Cloud provider should use advanced technologies and frameworks to increase QoS, and
decrease cost. This paper provides a survey on cloud pricing models and analyzes the recent and relevant research in this field.
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...Editor IJCATR
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 „clouds‟ 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.
Migration Control in Cloud Computing to Reduce the SLA Violationrahulmonikasharma
The requisition of cloud based services are more eminent because of the enormous benefits of cloud such as pay-as-you-use flexibility,scalability and low upfront cost. Day-by-day due to growing number of cloud consumers the load on the datacenters is also increasing. Various load distribution and dynamic load balancing approaches are being followed in the datacenters to optimize the resource utilization so that the performance may be maintained during the increased load. Virtual machine (VM) migration is primarily used to implement dynamic load balancing in the datacenters. But, the poorly designed dynamic VM migration policies may negate its benefits. The VM migration overheads result in the violations of service level agreement (SLA) in the cloud environment.In this paper,an extended VM migration control model is proposedto minimize the SLA violations while controlling the energy consumption of the datacenter during VM migration. The parameters of execution boundary threshold is used to extend an existing VM migration control model. The proposed model is tested through extensive simulations using CloudSim toolkit by executing real world workload. Results are obtained in terms of number of SLA violations while controlling the energy consumption in the datacenter. Results show that the proposed modelachieves better performance in comparison to the existing model.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A profit maximization scheme with guaranteed quality of service in cloud comp...Shakas Technologies
A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION
ABSTRACT:
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting reduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing.
Intelligent Workload Management in Virtualized Cloud EnvironmentIJTET Journal
Abstract— 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.
A review on various optimization techniques of resource provisioning in cloud...IJECEIAES
Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet.It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. 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. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning.
MCCVA: A NEW APPROACH USING SVM AND KMEANS FOR LOAD BALANCING ON CLOUDijccsa
Nowadays, the demand of using resources, using services via the intranet system or on the Internet is rapidly growing. The respective problem coming is how to use these resources effectively in terms of time and quality. Therefore, the network QoS and its economy are people concerns, cloud computing was born in an inevitable trend. However, managing resources and scheduling tasks in virtualized data centres on the cloud are challenging tasks. Currently, there are a lot of Load Balancing algorithms applied in clouds and proposed by many authors, scholars, and experts. These existing methods are more about natural and heuristic, but the application of AI, or modern datamining technologies, in load balancing is not too popular due to the different characteristics of cloud. In this paper, we propose an algorithm to reduce the processing time (makespan) on cloud computing, helping the load balancing work more efficiency. Here, we use the SVM algorithm to classify the coming Requests, K - Mean to cluster the VMs in cloud, then the LB will allocate the requests into the VMs in the most reasonable way. In this way, request with the least processing time will be allocated to the VMs with the lowest usage. We name this new proposal as MCCVA - Makespan Classification & Clustering VM Algorithm. We have experimented and evaluated this algorithm in CloudSim, a cloud simulation environment, we obtained better results than some other wellknown algorithms. With this MCCVA, we can see the big potential of AI and datamining in Load Balancing, we can further develop LB with AI to achieve better and better results of QoS.
Cloud computing offers to users worldwide a low cost on-demand services, according to their requirements. In the recent years, the rapid growth and service quality of cloud computing has made it an attractive technology for different Tech Companies. However with the growing number of data centers resources, high levels of energy cost are being consumed with more carbon emissions in the air. For instance, the Google data center estimation of electric power consumption is equivalent to the energy requirement of a small sized city. Also, even if the virtualization of resources in cloud computing datacenters may reduce the number of physical machines and hardware equipments cost, it is still restrained by energy consumption issue. Energy efficiency has become a major concern for today’s cloud datacenter researchers, with a simultaneous improvement of the cloud service quality and reducing operation cost. This paper analyses and discusses the literature review of works related to the contribution of energy efficiency enhancement in cloud computing datacenters. The main objective is to have the best management of the involved physical machines which host the virtual ones in the cloud datacenters.
COST-MINIMIZING DYNAMIC MIGRATION OF CONTENT DISTRIBUTION SERVICES INTO HYBR...Nexgen Technology
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...nexgentechnology
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...nexgentechnology
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
Profit Maximization for Service Providers using Hybrid Pricing in Cloud Compu...Editor IJCATR
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 „clouds‟ 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.
Migration Control in Cloud Computing to Reduce the SLA Violationrahulmonikasharma
The requisition of cloud based services are more eminent because of the enormous benefits of cloud such as pay-as-you-use flexibility,scalability and low upfront cost. Day-by-day due to growing number of cloud consumers the load on the datacenters is also increasing. Various load distribution and dynamic load balancing approaches are being followed in the datacenters to optimize the resource utilization so that the performance may be maintained during the increased load. Virtual machine (VM) migration is primarily used to implement dynamic load balancing in the datacenters. But, the poorly designed dynamic VM migration policies may negate its benefits. The VM migration overheads result in the violations of service level agreement (SLA) in the cloud environment.In this paper,an extended VM migration control model is proposedto minimize the SLA violations while controlling the energy consumption of the datacenter during VM migration. The parameters of execution boundary threshold is used to extend an existing VM migration control model. The proposed model is tested through extensive simulations using CloudSim toolkit by executing real world workload. Results are obtained in terms of number of SLA violations while controlling the energy consumption in the datacenter. Results show that the proposed modelachieves better performance in comparison to the existing model.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A profit maximization scheme with guaranteed quality of service in cloud comp...Shakas Technologies
A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION
ABSTRACT:
Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting reduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing.
Intelligent Workload Management in Virtualized Cloud EnvironmentIJTET Journal
Abstract— 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.
A review on various optimization techniques of resource provisioning in cloud...IJECEIAES
Cloud computing is the provision of IT resources (IaaS) on-demand using a pay as you go model over the internet.It is a broad and deep platform that helps customers builds sophisticated, scalable applications. To get the full benefits, research on a wide range of topics is needed. 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. The issue of resource provisioning optimization from cloud-consumer potential is a complicated optimization issue, which includes much uncertainty parameters. There is a much research avenue available for solving this problem as it is in the real-world. Here, in this paper we provide details about various optimization techniques for resource provisioning.
MCCVA: A NEW APPROACH USING SVM AND KMEANS FOR LOAD BALANCING ON CLOUDijccsa
Nowadays, the demand of using resources, using services via the intranet system or on the Internet is rapidly growing. The respective problem coming is how to use these resources effectively in terms of time and quality. Therefore, the network QoS and its economy are people concerns, cloud computing was born in an inevitable trend. However, managing resources and scheduling tasks in virtualized data centres on the cloud are challenging tasks. Currently, there are a lot of Load Balancing algorithms applied in clouds and proposed by many authors, scholars, and experts. These existing methods are more about natural and heuristic, but the application of AI, or modern datamining technologies, in load balancing is not too popular due to the different characteristics of cloud. In this paper, we propose an algorithm to reduce the processing time (makespan) on cloud computing, helping the load balancing work more efficiency. Here, we use the SVM algorithm to classify the coming Requests, K - Mean to cluster the VMs in cloud, then the LB will allocate the requests into the VMs in the most reasonable way. In this way, request with the least processing time will be allocated to the VMs with the lowest usage. We name this new proposal as MCCVA - Makespan Classification & Clustering VM Algorithm. We have experimented and evaluated this algorithm in CloudSim, a cloud simulation environment, we obtained better results than some other wellknown algorithms. With this MCCVA, we can see the big potential of AI and datamining in Load Balancing, we can further develop LB with AI to achieve better and better results of QoS.
Cloud computing offers to users worldwide a low cost on-demand services, according to their requirements. In the recent years, the rapid growth and service quality of cloud computing has made it an attractive technology for different Tech Companies. However with the growing number of data centers resources, high levels of energy cost are being consumed with more carbon emissions in the air. For instance, the Google data center estimation of electric power consumption is equivalent to the energy requirement of a small sized city. Also, even if the virtualization of resources in cloud computing datacenters may reduce the number of physical machines and hardware equipments cost, it is still restrained by energy consumption issue. Energy efficiency has become a major concern for today’s cloud datacenter researchers, with a simultaneous improvement of the cloud service quality and reducing operation cost. This paper analyses and discusses the literature review of works related to the contribution of energy efficiency enhancement in cloud computing datacenters. The main objective is to have the best management of the involved physical machines which host the virtual ones in the cloud datacenters.
COST-MINIMIZING DYNAMIC MIGRATION OF CONTENT DISTRIBUTION SERVICES INTO HYBR...Nexgen Technology
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...nexgentechnology
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...nexgentechnology
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...nexgentechnology
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 guaranteednexgentech15
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.
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A profit maximization scheme with guaranteed quality of service in cloud comp...Shakas Technologies
As an effective and efficient way to provide computing resources and services to customers on demand, cloud computing has become more and more popular. From cloud service providers’ perspective, profit is one of the most important considerations, and it is mainly determined by the configuration of a cloud service platform under given market demand.
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.
A survey on various resource allocation policies in cloud computing environmenteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
A survey on various resource allocation policies in cloud computing environmenteSAT Journals
Abstract Cloud computing is bringing a revolution in computing environment replacing traditional software installations, licensing issues into complete on-demand services through internet. In Cloud computing multiple cloud users can request number of cloud services simultaneously. So there must be a provision that all resources are made available to requesting user in efficient manner to satisfy their need. Resource allocation is based on quality of service and service level agreement. In cloud computing environment, to allocate resources to the user there are several methods but provider should consider the efficient way to guarantee that the applications’ requirements are attended to correctly and satisfy the user’s need This paper survey different resource allocation policies used in cloud computing environment. Keywords: Cloud computing, Resource allocation
Load Balancing in Cloud Computing Environment: A Comparative Study of Service...Eswar Publications
Load balancing is a computer networking method to distribute workload across multiple computers or a computer cluster, network links, central processing units, disk drives, or other resources, to achieve optimal resource utilization, maximize throughput, minimize response time, and avoid overload. Using multiple components with load balancing, instead of a single component, may increase reliability through redundancy. The
load balancing service is usually provided by dedicated software or hardware, such as a multilayer switch or a Domain Name System server. In this paper, the existing static algorithms used for simple cloud load balancing have been identified and also a hybrid algorithm for developments in the future is suggested.
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
Cloud computing is a pay-per-use model enabling convenient, on-demand network access to shared pool of configurable computing resources (e.g., networks, services, storage, applications and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dynamic congestion management system for cloud service brokerIJECEIAES
The cloud computing model offers a shared pool of resources and services with diverse models presented to the clients through the internet by an on-demand scalable and dynamic pay-per-use model. The developers have identified the need for an automated system (cloud service broker (CSB)) that can contribute to exploiting the cloud capability, enhancing its functionality, and improving its performance. This research presents a dynamic congestion management (DCM) system which can manage the massive amount of cloud requests while considering the required quality for the clients’ requirements as regulated by the service-level policy. In addition, this research introduces a forwarding policy that can be utilized to choose high-priority calls coming from the cloud service requesters and passes them by the broker to the suitable cloud resources. The policy has made use of one of the mechanisms that are used by Cisco to assist the administration of the congestion that might take place at the broker side. Furthermore, the DCM system is used to help in provisioning and monitoring the works of the cloud providers through the job operation. The proposed DCM system was implemented and evaluated by using the CloudSim tool.
Hybrid Based Resource Provisioning in CloudEditor IJCATR
The data centres and energy consumption characteristics of the various machines are often noted with different capacities.
The public cloud workloads of different priorities and performance requirements of various applications when analysed we had noted
some invariant reports about cloud. The Cloud data centres become capable of sensing an opportunity to present a different program.
In out proposed work, we are using a hybrid method for resource provisioning in data centres. This method is used to allocate the
resources at the working conditions and also for the energy stored in the power consumptions. Proposed method is used to allocate the
process behind the cloud storage.
Similar to A Profit Maximization Scheme with Guaranteed1 (1) (20)
1. A Profit Maximization Scheme with Guaranteed
Quality of Service in Cloud Computing
Abstract: An effective and efficient way to provide computing resources and
services to customers on demand, cloud computing has become more and more popular.
From cloud service providers’ perspective, profit is one of the most important
considerations, and it is mainly determined by the configuration of a cloud service
platform under given market demand. However, a single long-term renting scheme is
usually adopted to configure a cloud platform, which cannot guarantee the service quality
but leads to serious resource waste. In this paper, a double resource renting scheme is
designed firstly in which short-term renting and long-term renting are combined aiming
at the existing issues. This double renting scheme can effectively guarantee the quality of
service of all requests and reduce the resource waste greatly. Secondly, a service system
is considered as an M/M/m+D queuing model and the performance indicators that affect
the profit of our double renting scheme are analyzed, e.g., the average charge, the ratio of
requests that need temporary servers, and so forth. Thirdly, a profit maximization
problem is formulated for the double renting scheme and the optimized configuration of a
cloud platform is obtained by solving the profit maximization problem. Finally, a series
of calculations are conducted to compare the profit of our proposed scheme with that of
the single renting scheme. The results show that our scheme can not only guarantee the
service quality of all requests, but also obtain more profit than the latter.
Existing System:
In Many existing research they only consider the power consumption cost. As a
major difference between their models and ours, the resource rental cost is
considered in this paper as well, since it is a major part which affects the profit of
service providers. The traditional single resource renting scheme cannot guarantee
the quality of all requests but wastes a great amount of resources due to the
uncertainty of system workload. To overcome the weakness, we propose a double
2. renting scheme as follows, which not only can guarantee the quality of service
completely but also can reduce the resource waste greatly.
Proposed System:
In this section, we first propose the Double-Quality- Guaranteed (DQG) resource renting
scheme which combines long-term renting with short-term renting. The main computing
capacity is provided by the long-term rented servers due to their low price. The short-
term rented servers provide the extra capacity in peak period
Advantages:
In proposed system we are using the Double-Quality-Guaranteed (DQG) renting
scheme can achieve more profit than the compared Single-Quality-Unguaranteed
(SQU) renting scheme in the premise of guaranteeing the service quality completely.
Problem Statement: A profit maximization function is defined to find an optimal
combination of the server size R and the queue capacity K such that the profit is
maximized. However, this strategy has further implications other than just losing the
revenue from some services, because it also implies loss of reputation and therefore loss
of future customers. In , Cao et al. treated a cloud service platform as an M/M/m model,
and the problem of optimal multiserver configuration for profit maximization was
formulated and solved. This work is the most relevant work to ours, but it adopts a single
renting scheme to configure a multiserver system, which cannot adapt to the varying
market demand and leads to low service quality and great resource waste. To overcome
this weakness, another resource management strategy is used in , which is cloud
federation. Using federation, different providers running services that have
complementary resource requirements over time can mutually collaborate to share their
respective resources in order to fulfill each one’s demand . However, providers should
make an intelligent decision about utilization of the federation (either as a contributor or
as a consumer of resources) depending on different conditions that they might face,
which is a complicated problem.
3. Scope: In this paper, we only consider the profit maximization problem in a
homogeneous cloud environment, because the analysis of a heterogenous environment is
much more complicated than that of a homogenous environment. However, we will
extend our study to a heterogenous environment in the future.
Architecture:
Implementation Of Modules:
1. Cloud computing,
2. queuing model.
3. Business Service Module
4. 4. Cloud customer Module.
5. Infrastructure Service Provider Module.
Cloud Computing:
Cloud computing describes a type of outsourcing of computer services, similar to the way
in which the supply of electricity is outsourced. Users can simply use it. They do not need
to worry where the electricity is from, how it is made, or transported. Every month, they
pay for what they consumed. The idea behind cloud computing is similar: The user can
simply use storage, computing power, or specially crafted development environments,
without having to worry how these work internally. Cloud computing is usually Internet-
based computing. The cloud is a metaphor for the Internet based on how the internet is
described in computer network diagrams; which means it is an abstraction hiding the
complex infrastructure of the internet. It is a style of computing in which IT-related
capabilities are provided “as a service”, allowing users to access technology-enabled
services from the Internet ("in the cloud")without knowledge of, or control over the
technologies behind these servers.
Queuing model:
we consider the cloud service platform as a multiserver system with a service
request queue. The clouds provide resources for jobs in the form of virtual
machine (VM). In addition, the users submit their jobs to the cloud in which a
job queuing system such as SGE, PBS, or Condor is used. All jobs are
scheduled by the job scheduler and assigned to different VMs in a centralized
way. Hence, we can consider it as a service request queue. For example,
Condor is a specialized workload management system for computeintensive
jobs and it provides a job queueing mechanism, scheduling policy, priority
scheme, resource monitoring, and resource management. Users submit their
jobs to Condor, and Condor places them into a queue, chooses when and
where to run them based upon a policy. An M/M/m+D queueing model is
build for our multiserver system with varying system size. And then, an
optimal configuration problem of profit maximization is formulated in which
many factors are taken into considerations, such as the market demand, the
workload of requests, the server-level agreement, the rental cost of servers,
5. the cost of energy consumption, and so forth. The optimal solutions are
solved for two different situations, which are the ideal optimal solutions and
the actual optimal solutions.
Business Service Providers Module:
Service providers pay infrastructure providers for renting their physical resources, and
charge customers for processing their service requests, which generates cost and revenue,
respectively. The profit is generated from the gap between the revenue and the cost.In
this module the service providers considered as cloud brokers because they can play an
important role in between cloud customers and infrastructure providers ,and he can
establish an indirect connection between cloud customer and infrastructure providers.
Infrastructure Service Provider Module: In the three-tier structure, an
infrastructure provider the basic hardware and software facilities. A service provider rents
resources from infrastructure providers and prepares, a set of services in the form of
virtual machine (VM). Infrastructure providers provide two kinds of resource renting
schemes, e.g., long-term renting and short-term renting. In general, the rental price of
long-term renting is much cheaper than that of short-term renting.
Cloud Customers: A customer submits a service request to a service provider which
delivers services on demand. The customer receives the desired result from the service
provider with certain service-level agreement, and pays for the service based on the
amount of the service and the service quality.
Conclusion: Maximize the profit of service providers, this paper has proposed a
novel Double-Quality-Guaranteed (DQG) renting scheme for service providers. This
scheme combines short-term renting with long-term renting, which can reduce the
resource waste greatly and adapt to the dynamical demand of computing capacity. An
M/M/m+D queueing model is build for our multiserver system with varying system size.
And then, an optimal configuration problem of profit maximization is formulated in
which many factors are taken into considerations, such as the market demand, the
6. workload of requests, the server-level agreement, the rental cost of servers, the cost of
energy consumption, and so forth. The optimal solutions are solved for two different
situations, which are the ideal optimal solutions and the actual optimal solutions. In
addition, a series of calculations are conducted to compare the profit obtained by the
DQG renting scheme with the Single-Quality-Unguaranteed (SQU) renting scheme. The
results show that our scheme outperforms the SQU scheme in terms of both of service
quality and profit.