Game the Oretic Approach for Cloud Service Negotiation

2021 ◽  
Vol 13 (4) ◽  
pp. 65-74
Author(s):  
Ramesh C. ◽  
Santhiya K. ◽  
Rakesh Kumar S. ◽  
Rizwan Patan
Keyword(s):  
Time Delays ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Negotiation Process ◽  
Trade Off ◽  
Game Of Chicken ◽  
Service Consumer

Cloud computing is a booming technology in the area of digital markets. Tackling the nonfunctional characteristics is a big challenge between service consumers (SC) and service providers (SP). Without proper negotiation between the participants specifying their quality of service (QoS) requirements, service level agreement (SLA) cannot be achieved. Two strategies that are commonly prevalent in the negotiation process are concession model and trade off model. The concession model assures the service consumer (SC) receiving the services on time without any deferment. But service consumer has only limited utility. To balance the utility and achievement rates, the authors propose a mixed negotiation approach for cloud service negotiation, which is based on “Game of Chicken.” Extensive results show that a mixed negotiation approach brings equal amount of satisfaction to both service consumer and service provider in terms of achieving higher utility and outperforms the concession approach, while taking fewer time delays than that of a tradeoff approach.

TRADE-OFF BASED NEGOTIATION OF TRAFFIC CONDITIONING AND SERVICE LEVEL AGREEMENTS IN DIFFSERV NETWORKS

2005 ◽  
Vol 06 (03) ◽  
pp. 179-192
Author(s):  
MARCO COMUZZI ◽  
CHIARA FRANCALANCI ◽  
PAOLO GIACOMAZZI
Keyword(s):  
Service Level Agreement ◽  
Service Level ◽  
Negotiation Process ◽  
Strong Impact ◽  
Negotiation Model ◽  
Trade Off ◽  
Mathematical Formalization ◽  
Traffic Conditioning ◽  
Negotiation Problem

The paper faces the problem of the runtime negotiation on the Traffic Conditioning Agreement and Service Level Agreement in IP Differentiated Services networks. A first contribution of the paper with respect to previous literature is to propose a multi-attribute description of QoS targets and traffic profile. A second contribution of this work is to provide a mathematical formalization of the negotiation problem suitable for automated negotiation. The model is tested through simulation to a) verify the convergence of the negotiation process, which is critical to ensure that negotiation can be performed automatically and b) analyze the agreement solutions that are reached by negotiation parties for different values of quality of service and price parameters. With this paper's negotiation model, the primary goal of negotiating parties is to maintain the value of their utility function constant by searching a trade-off between QoS and price. However, the willingness to cooperate of the negotiating parties has a strong impact on the agreement value of negotiation parameters.

Fuzzy rule based SLA generation algorithms for web based multi party negotiation systems

2020 ◽  
Vol 39 (6) ◽  
pp. 8345-8356
Author(s):  
M. Alamelu ◽  
T.S. Pradeep Kumar ◽  
V. Vijayakumar
Keyword(s):  
Service Provider ◽  
Service Providers ◽  
Service Level Agreement ◽  
Fuzzy Rule ◽  
Service Level ◽  
Rule Base ◽  
Web Based ◽  
Multilateral Negotiation ◽  
Service Consumer

Service Level Agreement (SLA) is an agreement between the service provider and consumer to provide the verifiable quality of services. Using the valuable metrics in SLA, a service consumer could easily evaluate the service provider. Though there are different types of SLA models are available between the consumer and provider, the proposed approach describes the Fuzzy rule base SLA agreement generation among multiple service providers. A negotiation system is designed in this work to collect the different sets of provider services. With their desired quality metrics, a common Fuzzy based SLA report is generated and compared against the existing consumer requirements. From the analysis of the common agreement report, consumers can easily evaluate the best service with the desired Impact service, cost and Quality. The main advantage of this approach is that it reduces the time consumption of a consumer. Moreover, the best service provider can be selected among multiple providers with the desired QoS parameters. At the same time, the bilateral negotiation is enhanced with the approach of multilateral negotiation to improve the searching time of consumers.

scholarly journals Conceptual Service Level Agreement Mechanism to Minimize the SLA Violation with SLA Negotiation Process in Cloud Computing Environment

2021 ◽  
Vol 18 (2(Suppl.)) ◽  
pp. 1020
Author(s):  
Narander Kumar ◽  
Surendra Kumar
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service User ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Negotiation Process ◽  
Cloud Computing Service ◽  
Cloud Service Providers

Online service is used to be as Pay-Per-Use in Cloud computing. Service user need not be in a long time contract with cloud service providers. Service level agreements (SLAs) are understandings marked between a cloud service providers and others, for example, a service user, intermediary operator, or observing operators. Since cloud computing is an ongoing technology giving numerous services to basic business applications and adaptable systems to manage online agreements are significant. SLA maintains the quality-of-service to the cloud user. If service provider fails to maintain the required service SLA is considered to be SLA violated. The main aim is to minimize the SLA violations for maintain the QoS of their cloud users. In this research article, a toolbox is proposed to help the procedure of exchanging of a SLA with the service providers that will enable the cloud client in indicating service quality demands and an algorithm as well as Negotiation model is also proposed to negotiate the request with the service providers to produce a better agreement between service provider and cloud service consumer. Subsequently, the discussed framework can reduce SLA violations as well as negotiation disappointments and have expanded cost-adequacy. Moreover, the suggested SLA toolkit is additionally productive to clients so clients can secure a sensible value repayment for diminished QoS or conceding time. This research shows the assurance level in the cloud service providers can be kept up by as yet conveying the services with no interruption from the client's perspective

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.

Broker-based optimization of SLA negotiations in cloud computing

2021 ◽  
Vol 17 (2) ◽  
pp. 179-195
Author(s):  
Priyanka Bharti ◽  
Rajeev Ranjan ◽  
Bhanu Prasad
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Environment ◽  
Negotiation Strategies ◽  
Sla Negotiation ◽  
Conflicting Interests ◽  
The Impact

Cloud computing provisions and allocates resources, in advance or real-time, to dynamic applications planned for execution. This is a challenging task as the Cloud-Service-Providers (CSPs) may not have sufficient resources at all times to satisfy the resource requests of the Cloud-Service-Users (CSUs). Further, the CSPs and CSUs have conflicting interests and may have different utilities. Service-Level-Agreement (SLA) negotiations among CSPs and CSUs can address these limitations. User Agents (UAs) negotiate for resources on behalf of the CSUs and help reduce the overall costs for the CSUs and enhance the resource utilization for the CSPs. This research proposes a broker-based mediation framework to optimize the SLA negotiation strategies between UAs and CSPs in Cloud environment. The impact of the proposed framework on utility, negotiation time, and request satisfaction are evaluated. The empirical results show that these strategies favor cooperative negotiation and achieve significantly higher utilities, higher satisfaction, and faster negotiation speed for all the entities involved in the negotiation.

SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

2013 ◽  
Vol 660 ◽  
pp. 196-201 ◽  
Author(s):  
Muhammad Irfan ◽  
Zhu Hong ◽  
Nueraimaiti Aimaier ◽  
Zhu Guo Li
Keyword(s):  
Cloud Computing ◽  
Computer Science ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Computing Services ◽  
Cloud Service Providers ◽  
Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

An Innovative SLA-Based Service Monitoring Framework in Cloud

2018 ◽  
Vol 17 (02) ◽  
pp. 1850017
Author(s):  
Mridul Paul ◽  
Ajanta Das
Keyword(s):  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Information Communication ◽  
Computing Services ◽  
Service Monitoring ◽  
Arduous Task ◽  
Monitoring Framework ◽  
E Learning

Cloud computing encompasses powerful technology to perform complex computing for large applications. It provides access to various resources from any location with reduced Information Communication Technology overhead, enabling availability and scalability of resources based on consumer needs. Therefore, it has brought a paradigm shift in the way computing services are delivered. However, due to its increasing usage and rising expectations from cloud service provisioning, providing optimal and effective service is becoming an arduous task for service providers. Thus, maintaining quality of service (QoS) through regular monitoring is the utmost priority for the service provider. The key ingredient of managing QoS is a service level agreement (SLA). SLAs form a basis of measuring service quality. The cloud can be leveraged for provisioning e-Learning services to serve millions of users. The e-Learning service providers can enter into a contract with available cloud providers, which is transparent to the learners. Hence, it is critical to focus on the SLAs that need to be formulated and managed by the service providers for consumers of their e-Learning services. The objective of this paper is to propose SLA-based e-Learning service framework. This paper also identifies SLA parameters and related metrics to measure SLAs relevant to the provisioning of the proposed e-Learning service. It also proposes an innovative e-Learning service monitoring framework for managing QoS. This paper further evaluates the effectiveness of the proposed framework by provisioning of e-Learning service on Google App Engine cloud platform. It also presents experimental analysis using response graph in order to monitor associated SLAs in the proposed framework.

scholarly journals 5G/B5G Service Classification Using Supervised Learning

2021 ◽  
Vol 11 (11) ◽  
pp. 4942
Author(s):  
Jorge E. Preciado-Velasco ◽  
Joan D. Gonzalez-Franco ◽  
Caridad E. Anias-Calderon ◽  
Juan I. Nieto-Hipolito ◽  
Raul Rivera-Rodriguez
Keyword(s):  
Supervised Learning ◽  
Quality Of Experience ◽  
Service Providers ◽  
Matthews Correlation Coefficient ◽  
Service Level Agreement ◽  
Service Level ◽  
5G Networks ◽  
Distribution Of Resources

The classification of services in 5G/B5G (Beyond 5G) networks has become important for telecommunications service providers, who face the challenge of simultaneously offering a better Quality of Service (QoS) in their networks and a better Quality of Experience (QoE) to users. Service classification allows 5G service providers to accurately select the network slices for each service, thereby improving the QoS of the network and the QoE perceived by users, and ensuring compliance with the Service Level Agreement (SLA). Some projects have developed systems for classifying these services based on the Key Performance Indicators (KPIs) that characterize the different services. However, Key Quality Indicators (KQIs) are also significant in 5G networks, although these are generally not considered. We propose a service classifier that uses a Machine Learning (ML) approach based on Supervised Learning (SL) to improve classification and to support a better distribution of resources and traffic over 5G/B5G based networks. We carry out simulations of our proposed scheme using different SL algorithms, first with KPIs alone and then incorporating KQIs and show that the latter achieves better prediction, with an accuracy of 97% and a Matthews correlation coefficient of 96.6% with a Random Forest classifier.

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.

scholarly journals The Estimation of Risk on Cloud Computing Framework

2020 ◽  
Vol 6 (4) ◽  
pp. 5-10
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Service Level ◽  
Service Level Agreements ◽  
Risk Models ◽  
Design And Implementation ◽  
Related Service ◽  
Computing Framework

The Cloud Service which is provided generates access to the present resources by service level agreements (SLA) which is formal , and they require proper balanced infrastructures in order to maximize the quality of service (QoS). They try to minimize and provide offer to the count of violations that are offered by the Service Level Agreements. The paper emphasizes on a proper or area of risk assessment which is specific to the applications related to cloud computing. The methods which are present within a framework that is to be used by service providers related to cloud and consumers related service in order to provide assessment of risk in case of deployment of service and the related operation. The paper also puts emphasis on the different stages which are involved in the lifecycle of services where assessment of risk takes place. This leads in the design and implementation of risk models which are in correspondence. The risk puts an impact on the architectural components providing special emphasis on management which is holistic to provide support at operation of services has been described. The assessor which is related to risk has been proven to be effective by various evaluation provided through the experiments and its implementation which needs to be integrated in a toolkit environment provided by cloud computing

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