A Framework for the Coordination of Multiple Autonomic Managers in Cloud Environments

Abstract

One of the main reasons for the wide adoption of Cloud Computing is the flexibility in which resources and software services are provisioned on demand through the concept of elasticity. Implementing elasticity to tackle varying workloads while optimizing infrastructures (e.g. utilization rate) and fulfilling applications' requirements on Quality of Service still remains an open issue and should be addressed by self-adaptation techniques able to manage complexity and dynamism. However, since Cloud systems are organized in different but dependent Cloud layers, self-management decisions taken in isolation in a certain layer may indirectly interfere with the decision taken by an other layer and globally affect the performance of the whole Cloud stack. Indeed, non-coordinated managers may lead to conflicting decisions and consequently to non-desired states. This paper proposes a framework for the coordination of multiple autonomic managers in Cloud systems. This framework introduces two kinds of managers: (i) one for each application; and (ii) another for the infrastructure. To tackle the problem of interferences between these Cloud autonomic managers, we propose a coordination protocol based on inter-manager events and actions along with synchronization mechanisms. The goal is to improve the synergy between layers in a loose-coupling manner. We evaluated the approach through an experimental scenario on Grid5000, a real physical infrastructure testbed. In this use case, we show that our framework improves the synergy between cloud systems while dealing with conflicting objectives and negative interferences.

Optimal Autonomic Management of Service-Based Business Processes in the Cloud

“…Broadly speaking, two methods are used for this. The first one splits the knowledge base of each AM into two parts: a public knowledge that is shared with the other AMs and a private knowledge for the AM [33]. The second method adds AMs that are in charge of coordination [16].…”

“…De Oliveira et al [33] proposed a framework for the coordination of AMs in the cloud. They presented two kinds of AMs known as "AAM" for Application AM and "IAM" for Infrastructure AM.…”

Taxonomy of Autonomic Cloud Computing

“…Hence, it collects all the application requirements in favor of user context knowledge-base. Multiple autonomic managers are able to be coordinated in a cloud environment which is proposed as a platform in [7]. The aim of this framework is to enhance the synergy among AMs by decreasing intrusion created by one AM on systems managed by other AMs.…”

Reconfigurable Applications Using GCMScript

“…In the field of providing autonomic behavior to cloud applications, works like [14] and [15] use MAPE loops in the architecture of the application and provide a hierarchic organization of managers. Although they effectively collect the required metrics, our scheme allows to introduce the autonomic behavior as part of the application itself, instead of a separate architecture.…”