Automated SLA Negotiation Framework for Cloud Computing

2013 ◽  
Author(s):  
Linlin Wu ◽  
S. K. Garg ◽  
R. Buyya ◽  
Chao Chen ◽  
S. Versteeg
Keyword(s):  
Cloud Computing ◽  
Sla Negotiation

An Autonomous Time-Dependent SLA Negotiation Strategy for Cloud Computing

2015 ◽  
Vol 58 (11) ◽  
pp. 3202-3216 ◽  
Author(s):  
Amir Vahid Dastjerdi ◽  
Rajkumar Buyya
Keyword(s):  
Cloud Computing ◽  
Time Dependent ◽  
Negotiation Strategy ◽  
Sla Negotiation

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.

scholarly journals Legal issues in clouds: towards a risk inventory

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120075 ◽  
Author(s):  
Karim Djemame ◽  
Benno Barnitzke ◽  
Marcelo Corrales ◽  
Mariam Kiran ◽  
Ming Jiang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Cloud Computing ◽  
Service Level ◽  
Legal Issues ◽  
Cloud Environment ◽  
Inherent Risk ◽  
Sla Negotiation ◽  
Service Operation ◽  
Assessment Techniques ◽  
High Level

Cloud computing technologies have reached a high level of development, yet a number of obstacles still exist that must be overcome before widespread commercial adoption can become a reality. In a cloud environment, end users requesting services and cloud providers negotiate service-level agreements (SLAs) that provide explicit statements of all expectations and obligations of the participants. If cloud computing is to experience widespread commercial adoption, then incorporating risk assessment techniques is essential during SLA negotiation and service operation. This article focuses on the legal issues surrounding risk assessment in cloud computing. Specifically, it analyses risk regarding data protection and security, and presents the requirements of an inherent risk inventory. The usefulness of such a risk inventory is described in the context of the OPTIMIS project.

Service-Level Agreement Negotiation in Cloud Computing Buying Organizations

2021 ◽  
Vol 12 (3) ◽  
pp. 1-16
Author(s):  
Teo Lo Piparo ◽  
Georg Hodosi ◽  
Lazar Rusu
Keyword(s):  
Cloud Computing ◽  
Survey Research ◽  
Service Provider ◽  
Dynamical Behavior ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
Asset Specificity ◽  
Sla Negotiation ◽  
Buying Organizations

The cloud archetype is fundamentally dynamic for both service customer and service provider. From the provider's perspective, resources are removed and/or added irregularly and urgently together with updating of service level agreements (SLAs). However, this dynamical behavior makes contracting sophisticated. Yet, there is a lack of knowledge on how to handle these dynamics contractually. To address this knowledge gap, the authors have investigated “how to improve SLA management with dynamic SLA iterations.” For this reason, a model for cloud computing SLA negotiation is proposed to facilitate the buying organization in determining uncertainty by analyzing attributes of asset specificity and risks associated with them. Survey research has been used for testing the model. The respondents rationalized the SLA negotiation with a better cognitive understanding in all phases within the model. The study's findings could support cloud service buying organizations to minimize the risks with ever-changing requirements.

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