scholarly journals Deployment of virtual machines for tiered applications in cloud systems with optimized resource allocation based on availability SLAS

2021 ◽  
Author(s):  
Praneeth Sakhamuri
Keyword(s):  
Response Time ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Service Level ◽  
Single Type ◽  
Application Service Providers ◽  
Application Service

Deploying and managing high availability-tiered application in the cloud is challenging, as it requires providing necessary virtual machines to make the application available. An application is available if it works and responds in a timely manner for varying workloads. Application service providers need to allocate specified number of working virtual machine copies for each server with at least a given minimum computing power, to meet the response time requirement. Otherwise, we may end up with response time failures. This thesis formulates an optimization problem that determines the number and type of virtual machines needed for each server to minimize the cost and at the same time guarantees the availability SLA (Service-Level Agreement) for different workloads. The results demonstrate that a diverse approach is more cost-effective than running on a single type of virtual machine, and buying only the cheapest virtual machines for an application is not always economical.

scholarly journals Deployment of virtual machines for tiered applications in cloud systems with optimized resource allocation based on availability SLAS

2021 ◽  
Author(s):  
Praneeth Sakhamuri
Keyword(s):  
Response Time ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Service Level ◽  
Single Type ◽  
Application Service Providers ◽  
Application Service

Deploying and managing high availability-tiered application in the cloud is challenging, as it requires providing necessary virtual machines to make the application available. An application is available if it works and responds in a timely manner for varying workloads. Application service providers need to allocate specified number of working virtual machine copies for each server with at least a given minimum computing power, to meet the response time requirement. Otherwise, we may end up with response time failures. This thesis formulates an optimization problem that determines the number and type of virtual machines needed for each server to minimize the cost and at the same time guarantees the availability SLA (Service-Level Agreement) for different workloads. The results demonstrate that a diverse approach is more cost-effective than running on a single type of virtual machine, and buying only the cheapest virtual machines for an application is not always economical.

Distance Aware VM allocation process to minimize energy consumption in cloud computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Singh ◽  
Manish Mahajan ◽  
Rajni Mohana
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Physical Machine ◽  
Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

scholarly journals Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

2019 ◽  
Vol 8 (3) ◽  
pp. 1457-1462
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Service Provider

Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

For the Shipbuilding Enterprise Model of Intelligent Recommendation Services

2010 ◽  
Vol 34-35 ◽  
pp. 222-226
Author(s):  
Wei Zhang ◽  
Xiao Hong Pan ◽  
Xin Kang Fang
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Service Model ◽  
Component Level ◽  
Manufacturing Firm ◽  
Application Service Providers ◽  
Application Service ◽  
Isotropic Space ◽  
Enterprise Model ◽  
Information Personalization

Based on ships transaction in useful information personalization gain question, proposed that one kind the intelligent recommendation service model which unifies the ASP (Application Service Providers) pattern and the recommendation technology. In this model, the service uses five structures, the intelligence management transfer application service level and the resources component level, cooperates to realize the intelligence mutually. In view of the ships profession electronic commerce pattern's characteristic, the depth limited auto-adapted k close neighbor searching algorithm which uses transforms the user grading non-isotropic space as the isotropic space, obtains the isotropic grading matrix, thus searches the current user k recent neighbor, has current user's forecast grading, and has the recommendation. Has provided the simple direct-viewing practical commercial service for the ships manufacturing firm.

scholarly journals Cloud based Cost Effective Resource Allocation Model for Software-as-a-service Deployments

2013 ◽  
Vol 9 (2) ◽  
pp. 1068-1079
Author(s):  
Ibrahim A. Cheema ◽  
Mudassar Ahmad ◽  
Fahad Jan ◽  
Shahla Asadi
Keyword(s):  
Resource Allocation ◽  
Large Scale ◽  
Service Providers ◽  
Cost Effective ◽  
Software As A Service ◽  
Allocation Model ◽  
Application Service Providers ◽  
Resource Allocation Model ◽  
Application Service ◽  
Cloud Infrastructures

The Cloud Computing (CC) provides access to the resources with usage based payments model. The application service providers can seamlessly scale the services. In CC infrastructure, a different number of virtual machine instances can be created depending on the application requirements. The capability to scale Software-as-a-Service (SaaS) application is very attractive to the providers because of the potential to scale application resources to up or down, the user only pay for the resources required. Even though the large-scale applications are deployed on cloud infrastructures on pay-per-use basis, the cost of idle resources (memory, CPU) is still charged to application providers. The issues of saturation and wastage of cloud resources are still unresolved. This paper attempts to propose the resource allocation models for SaaS applications deployments over CC platforms. The best balanced resource allocation model is proposed keeping in view cost and user requirements.

An Software Defined Network Based Secured Model for Malicious Virtual Machine Detection in Cloud Environment

2020 ◽  
Vol 17 (1) ◽  
pp. 526-530
Author(s):  
H. M. Anitha ◽  
P. Jayarekha
Keyword(s):  
Virtual Machine ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Service Level ◽  
Emerging Technology ◽  
Cloud Provider ◽  
Software Defined Network ◽  
Cloud Environment ◽  
Network Controller

Cloud computing is an emerging technology that offers the services to all the users as per their demand. Services are leveraged according to the Service level agreement (SLA). Service level agreement is monitored so that services are offered to the users without any problem and deprival. Software Defined Network (SDN) is used in order to monitor the trust score of the deployed Virtual Machines (VM) and Quality of Service (QoS) parameters offered. Software Defined Network controller is used to compute the trust score of the Virtual Machines and find whether Virtual Machine is malicious or trusted. Genetic algorithm is used to find the trusted Virtual Machine and release the resources allocated to the malicious Virtual Machine. This monitored information is intimated to cloud provider for further action. Security is enhanced by avoiding attacks from the malicious Virtual Machine in the cloud environment. The main objective of the paper is to enhance the security in the system using Software Defined Network based secured model.

scholarly journals Efficient Task Scheduling and Fair Load Distribution Among Federated Clouds

2021 ◽  
Vol 15 (3) ◽  
pp. 216-238
Author(s):  
Rajeshwari B S ◽  
M. Dakshayini ◽  
H.S. Guruprasad
Keyword(s):  
Response Time ◽  
Task Scheduling ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Future Generation ◽  
Service Level ◽  
Centralized Control ◽  
Cloud Providers ◽  
Fair Distribution ◽  
User Tasks

The federated cloud is the future generation of cloud computing, allowing sharing of computing and storage resources, and servicing of user tasks among cloud providers through a centralized control mechanism. However, a great challenge lies in the efficient management of such federated clouds and fair distribution of the load among heterogeneous cloud providers. In our proposed approach, called QPFS_MASG, at the federated cloud level, the incoming tasks queue are partitioned in order to achieve a fair distribution of the load among all cloud providers of the federated cloud. Then, at the cloud level, task scheduling using the Modified Activity Selection by Greedy (MASG) technique assigns the tasks to different virtual machines (VMs), considering the task deadline as the key factor in achieving good quality of service (QoS). The proposed approach takes care of servicing tasks within their deadline, reducing service level agreement (SLA) violations, improving the response time of user tasks as well as achieving fair distribution of the load among all participating cloud providers. The QPFS_MASG was implemented using CloudSim and the evaluation result revealed a guaranteed degree of fairness in service distribution among the cloud providers with reduced response time and SLA violations compared to existing approaches. Also, the evaluation results showed that the proposed approach serviced the user tasks with minimum number of VMs.

A Novel QoS Aware Shortest Path Algorithm for VSDN

2017 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Amandeep Kaur Sandhu ◽  
Jyoteesh Malhotra
Keyword(s):  
Energy Consumption ◽  
Shortest Path ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Level ◽  
Software Defined Networks ◽  
Shortest Path Algorithm ◽  
Internet Service ◽  
Decrease Energy Consumption

This article describes how a rapid increase in usage of internet has emerged from last few years. This high usage of internet has occurred due to increase in popularity of multimedia applications. However, there is no guarantee of Quality of Service to the users. To fulfill the desired requirements, Internet Service Providers (ISPs) establish a service level agreement (SLA) with clients including specific parameters like bandwidth, reliability, cost, power consumption, etc. ISPs make maximum SLAs and decrease energy consumption to raise their profit. As a result, users do not get the desired services for which they pay. Virtual Software Defined Networks are flexible and manageable networks which can be used to achieve these goals. This article presents shortest path algorithm which improves the matrices like energy consumption, bandwidth usage, successful allocation of nodes in the network using VSDN approach. The results show a 40% increase in the performance of proposed algorithms with a respect to existing algorithms.

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