An Autonomous Time-Dependent SLA Negotiation Strategy for Cloud Computing

Abstract

Cloud service level agreement negotiation is a process of joint decision-making between cloud clients and providers to resolve their conflicting objectives. With the advances of cloud technology, operations such as discovery, scaling, monitoring and decommissioning are accomplished automatically. Therefore, negotiation between cloud clients and providers can be a bottleneck if it is carried out manually. Our objective is to propose a state-of-the-art solution to automate the negotiation process for cloud environments and specifically infrastructure as a service category. The proposed negotiation strategy is based on a time-dependent tactic. For cloud providers, the strategy uniquely considers utilization of resources when generating new offers and automatically adjusts the tactic's parameters to concede more on the price of less utilized resources. In addition, while the previous negotiation strategies in literature trust offered quality of service values regardless of their dependability, our proposed strategy is capable of assessing reliability of offers received from cloud providers. Furthermore, to find the right configuration of the time-dependent tactic in cloud computing environments, we investigate the effect of modifying parameters such as initial offer value and deadline on negotiation outputs that include ratio of deals made, and inequality index. The proposed negotiation strategy is tested with different workloads and in diverse market conditions to show how the time-dependent tactic's settings can dynamically adapt to help cloud providers increase their profits.

Agent-based Multi-tier SLA Negotiation for Intercloud

“…To evaluate the performance of the two-tiered negotiation model in the intercloud market, the efficiency of negotiation, such as a high degree of satisfaction and more agreement being reached for the negotiators is the most important property of the global outcome [56]. Thus, efficiency involves the combined ASV, and the ratio of successful negotiation, which is typically selected in the most previous research [21,45,57]. In addition, for the private interests, the consumer agents aim to minimize the buying price, whereas the provider agents aim to maximize revenue [58].…”

A Concurrent Interdependent Service Level Agreement Negotiation Protocol in Dynamic Service-Oriented Computing Environments

“…To date, achievements on SLA negotiations vary from different aspects. Dastjerdi et al [13] focused on the SLA negotiation strategy, which is able to dynamically adapt to increase profits for cloud providers. Yaqub et al [14] proposed a negotiation strategy for agents to efficiently create near-optimal SLAs under time constraints.…”

“…SLA negotiations provide the procedure to reach service agreements between service providers and service customers in a cloud computing environment. To date, most of the previous work [2], [10], [13] deals nearly exclusively with single SLA negotiations involving independent negotiation goals. However, SLA negotiation problems in the real world contain complex interdependency relationships between multiple SLA negotiations as well as the dynamic changes of the negotiation environment.…”

“…From present literature, Messina et al [2] proposed a negotiation protocol for service level agreements. Dastjerdi and Buyya [13] proposed a solution to automate the negotiation process for cloud environments. These approaches both focus on single SLA negotiation, which has only one negotiation goal, and they do not work in the scenario of multiple SLA negotiations with interdependencies.…”

Subject Oriented Autonomic Cloud Data Center Networks Model

“…Autonomous unit function development and interactive development organic separation are willing to improve autonomous unit function reusability. In the multi-agent environment, we have developed an autonomous calculation of the prototype system with the hierarchical development, which can provide a good support for the rapid development of autonomic cloud data center networks [11] [12].…”