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.

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.

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.

The Role of Service Level Agreements (SLAs) in Leveraging ICT in Tanzania

2016 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
Veronica Mironge ◽  
Dennis M. Lupiana
Keyword(s):  
Communication Technology ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Level ◽  
Information Communication ◽  
Value For Money ◽  
Potential Impact ◽  
Internet Connections ◽  
Economic Developments

Information Communication Technology (ICT) plays a significant role on enhancing service delivery and provision. To fully benefit from ICT, however, access to a reliable Internet connection is required. In Tanzania, like in many other countries, Internet connections are provided by Telecom companies where customers and providers enter in some sort of an agreement. This agreement is called Service Level Agreement (SLA). SLA specifies obligations of service providers and customers and hence it is a tool to ensure customers get value-for-money and hence they receive quality and reliable services. Thus, poor written or poor implementation of SLAs can have a potential impact on the use of ICT and subsequently to socio-economic developments. This article presents findings from a study conducted to assess the effectiveness of SLAs in Telecom industry in Tanzania. The study discusses findings from the study focusing on determining the roles SLAs plays on nurturing effort to take advantage of ICT in Tanzania.

scholarly journals An integrated three-tier trust management framework in mobile edge computing using fuzzy logic

2021 ◽  
Vol 7 ◽  
pp. e700
Author(s):  
Merrihan B.M. Mansour ◽  
Tamer Abdelkader ◽  
Mohamed Hashem ◽  
El-Sayed M. El-Horbaty
Keyword(s):  
Service Provider ◽  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Edge Computing ◽  
Trust Value ◽  
Management Framework ◽  
Cloud Service Providers

Mobile edge computing (MEC) is introduced as part of edge computing paradigm, that exploit cloud computing resources, at a nearer premises to service users. Cloud service users often search for cloud service providers to meet their computational demands. Due to the lack of previous experience between cloud service providers and users, users hold several doubts related to their data security and privacy, job completion and processing performance efficiency of service providers. This paper presents an integrated three-tier trust management framework that evaluates cloud service providers in three main domains: Tier I, which evaluates service provider compliance to the agreed upon service level agreement; Tier II, which computes the processing performance of a service provider based on its number of successful processes; and Tier III, which measures the violations committed by a service provider, per computational interval, during its processing in the MEC network. The three-tier evaluation is performed during Phase I computation. In Phase II, a service provider total trust value and status are gained through the integration of the three tiers using the developed overall trust fuzzy inference system (FIS). The simulation results of Phase I show the service provider trust value in terms of service level agreement compliance, processing performance and measurement of violations independently. This disseminates service provider’s points of failure, which enables a service provider to enhance its future performance for the evaluated domains. The Phase II results show the overall trust value and status per service provider after integrating the three tiers using overall trust FIS. The proposed model is distinguished among other models by evaluating different parameters for a service provider.

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.

scholarly journals Game Theory Based Trust Model for Cloud Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
K. Gokulnath ◽  
Rhymend Uthariaraj
Keyword(s):  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Trust Model ◽  
Cloud Computing Environment ◽  
Game Theoretic ◽  
Time Accuracy ◽  
First Time ◽  
Compare And Contrast

The aim of this work is to propose a method to establish trust at bootload level in cloud computing environment. This work proposes a game theoretic based approach for achieving trust at bootload level of both resources and users perception. Nash equilibrium (NE) enhances the trust evaluation of the first-time users and providers. It also restricts the service providers and the users to violate service level agreement (SLA). Significantly, the problem of cold start and whitewashing issues are addressed by the proposed method. In addition appropriate mapping of cloud user’s application to cloud service provider for segregating trust level is achieved as a part of mapping. Thus, time complexity and space complexity are handled efficiently. Experiments were carried out to compare and contrast the performance of the conventional methods and the proposed method. Several metrics like execution time, accuracy, error identification, and undecidability of the resources were considered.

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

scholarly journals A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

2021 ◽  
Vol 15 (21) ◽  
pp. 119
Author(s):  
Afaf Edinat ◽  
Rizik M. H. Al-Sayyed ◽  
Amjad Hudaib
Keyword(s):  
Cloud Computing ◽  
Learning Process ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Shared Services ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
The Relationship

Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.

Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services

2020 ◽  
Vol 13 (2) ◽  
pp. 260-275
Author(s):  
Abdul Qadir Md ◽  
Varadarajan Vijayakumar
Keyword(s):  
Trust Management ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Selection ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Preference Ranking ◽  
Ranking Algorithm ◽  
Management Architecture

Background: With the immense significance of cloud computing over the decade, different IT companies offer varieties of cloud services. Objective: The selection of cloud services from the expanding range of Cloud Service Providers (CSPs) makes it difficult for the Cloud Consumers (CCs) to choose a CSP based on their preferences. Methods: In this context, this paper proposes an efficient trust management architecture for cloud service selection and put forward Combined Preference Ranking Algorithm (CPRA) for initial ranking of CSPs and their services before doing any transaction in the past based on CCs requirements. Results: The proposed trust management architecture prompts the CSPs to improve the Quality of Service (QoS) by adhering to Service Level Agreement (SLA). Conclusion: The experimental results show that compared with other ranking approaches CPRA generates the accurate ranking list of CSPs with minimal execution time.

Towards Benefiting Both Cloud Users and Service Providers Through Resource Provisioning

2019 ◽  
Vol 12 (1) ◽  
pp. 37-51
Author(s):  
Durga S. ◽  
Mohan S. ◽  
Dinesh Peter J. ◽  
Martina Rebecca Nittala
Keyword(s):  
Resource Utilization ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cost Savings ◽  
Cloud Service ◽  
Turnaround Time ◽  
Service Level ◽  
Resource Provisioning ◽  
Cloud Users ◽  
Rp Technique

Cloud users expect high Quality of service (QoS) levels within their budget and the cloud service providers (CSPs) to maximize their profits, always strive for the cost and energy minimization and better resource utilization. Any error in the management of resources causes Service Level Agreement (SLA) violations, high penalties, low customer satisfaction, and long-term losses. The objective of this article is to present a literature review on various resource provisioning strategies and also to present a novel cluster-based resource provisioning (CB-RP) technique that satisfies the needs of both cloud users and CSP. CB-RP employs a heart algorithm to cluster the arriving requests based on its characteristics. The CB-RP technique aims to analyze the requests and provision the resources according to the request category. Simulation results show that our technique produces significant improvements in terms of cost savings, resource utilization and turnaround time compared with state of art technique.

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