SLA-driven dynamic cloud resource management

Abstract

As the size and complexity of Cloud systems increases, the manual management of these solutions becomes a challenging issue as more personnel, resources and expertise are needed. Service Level Agreement (SLA)-aware autonomic cloud solutions enable managing large scale infrastructure management meanwhile supporting multiple dynamic requirement from users. This paper contributes to these topics by the introduction of Cloudcompaas, a SLA-aware PaaS Cloud platform that manages the complete resource lifecycle. This platform features an extension of the SLA specification WSAgreement, tailored to the specific needs of Cloud Computing. In particular, Cloudcompaas enables Cloud providers with a generic SLA model to deal with higher-level metrics, closer to end-user perception, and with flexible composition of the requirements of multiple actors in the computational scene. Moreover, Cloudcompaas provides a framework for general Cloud computing applications that could be dynamically adapted to correct the QoS violations by using the elasticity features of Cloud infrastructures. The effectiveness of this solution is demonstrated in this paper through a simulation that considers several realistic workload profiles, where Cloudcompaas achieve minimum cost and maximum efficiency, under highly heterogeneous utilization patterns.

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

“…Subsequently, the scheduling procedure followed the acceptance control decision. In [30], the PaaS is considered a key element in the cloud compass, which is the default container. A virtual container is a group of programs with a logical hierarchy of components.…”

“…The authors of [30] introduced Cloud Compass, which is the PaaS cloud system responsible for managing the entire lifecycle of resources. This compass featured an extension of the WS-Agreement of the SLA specifications.…”

“…In the following section, we review the proposed models in relation to the techniques and list most of the QoS parameters that have been used in prior related works. [12], [21], [24], [27], [29], [30], [31], [34], [35], [38], [39], [43], [44], [46], [48], [51], [52] 16%…”

Monitoring and Intervention: Concepts and Formal Models

“…For example, cloud computing services involve several interesting forms of monitoring. 10 In the case where computing resources are rented to customers on a pay-as-yougo basis, the customer's account with the provider is governed by a servicelevel agreement (SLAs) that specifies the terms and conditions for the customer and guarantees a quality of service (QoS) to be delivered by the provider [17]. Monitoring of the SLA is needed.…”

Service Scheduling in Cloud Computing based on Queuing Game Model

“…The second on is Resource Provisioning which involves the suitable provisioning of Cloud resources (Such as CPU, memory, and bandwidth) to make the application to meet its QoS requirements with the time-varying workloads. We introduce some related work on these topics in [5][6][7] and [8][9][10] respectively. Also there are some researches combining these two types, and we showed them in [11,12].…”