Optimal Negotiation of Service Level Agreements for Cloud-Based Services through Autonomous Agents

Yaqub, Edwin; Yahyapour, Ramin; Wieder, Philipp; Kotsokalis, Constantinos; Lu, Kuan; Jehangiri, Ali Imran

doi:10.1109/scc.2014.17

Cited by 25 publications

(20 citation statements)

References 13 publications

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“…Cerebro on the other hand continuously monitors the cloud platform, and periodically re-evaluates the response time SLAs of web APIs to determine when a re-negotiation is needed. Similarly, researchers have investigated the notions of SLA brokering [19], and the automatic SLA negotiation between intelligent agents [20], ideas that can complement the simple SLA negotiation model of Cerebro to make it more powerful and flexible.…”

Section: Resultsmentioning

confidence: 99%

Service-Level Agreement Durability for Web Service Response Time

Jayathilaka

Krintz

Wolski

2015

2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)

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Cloud computing is an attractive model for deploying web services in a highly scalable manner. Users access such cloud-hosted services via their web-facing application programming interfaces (APIs). Prior work has shown that it is possible to use a combined approach of static analysis and cloud platform monitoring to predict the response time upper bounds of such web APIs. This technique can be employed to automatically generate service level agreements (SLAs) concerning the performance of cloud-hosted web APIs.In this work, we explore the validity period of auto-generated SLAs in cloud settings. We discuss a simple model by which API consumers can establish a response time SLA with the cloud platform, and renegotiate it when/if the SLA becomes invalid due to the dynamic nature of the cloud. Using empirical methods and simulations on a real world public cloud platform, we show that it is possible to auto-generate highly durable response time SLAs for cloud-hosted web APIs, thereby keeping the number of SLA invalidations and renegotiations very low, over long periods.

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Section: Resultsmentioning

confidence: 99%

Service-Level Agreement Durability for Web Service Response Time

Jayathilaka

Krintz

Wolski

2015

2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom)

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“…During the resource assignment phase (iii), this selected group of tasks is assigned to one applicable resource. A resource assignment is applicable if each task starts after its earliest start time (5) and ends before its latest end time (7). The applicable resource can be existing but also newly instantiated.…”

Section: Resource Allocation Planning Algorithmsmentioning

confidence: 99%

New approach to allocation planning of many‐task workflows on clouds

Gerhards

Sander

Živković

et al. 2019

Concurrency and Computation

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Summary Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many‐task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low‐complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many‐task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario.

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“…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. Copil et al [10] proposed an SLA negotiation protocol in order to obtain a balance between the energy consumed and performance offered in the cloud.…”

Section: Related Workmentioning

confidence: 99%

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

Niu

Ren

Zhang

2017

Lecture Notes in Computer Science

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Service Level Agreement (SLA) negotiations are capable of helping define the quality of service in order to meet the customer's service requirements. To date, a large number of negotiation protocols are proposed to handle single SLA negotiations, but little work can be found in handling multiple interdependent SLA negotiations in dynamic negotiation environments. This paper proposes an adaptive protocol for concurrently handling multiple interdependent SLA negotiations in dynamic environments. First, interdependencies between SLA negotiations are represented by a graph-based model. Then, an updating mechanism is proposed to handle the dynamism of multiple SLA negotiations. By applying the proposed updating mechanism, a protocol for concurrently processing SLA negotiations in dynamic environments with unexpected changes of service requests is presented. Experimental results show that the proposed approach can effectively handle unexpected changes of service requests from customers in dynamic environments, and successfully lead multiple SLA negotiations to agreements aligning with customers.

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Optimal Negotiation of Service Level Agreements for Cloud-Based Services through Autonomous Agents

Cited by 25 publications

References 13 publications

Service-Level Agreement Durability for Web Service Response Time

Service-Level Agreement Durability for Web Service Response Time

New approach to allocation planning of many‐task workflows on clouds

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

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