Policy-Based Management of Cloud Systems

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The resources provided by a cloud infrastructure can be shared by multiple applications from different organizations. Allocating computing resources based on peak demand often results in underutilized computing resources. One approach to dealing with this is to allow for over-subscription. The assumption is that the peak demand of all applications may be more than available computing resources provided by the cloud infrastructure but the peak demand typically does not occur simultaneously. However, it is entirely possible that the peak demand of applications on a single server or a rack or a cluster may exceed the capacity. This requires that resources be allocated dynamically and in a timely fashion in response to overload on any part of the cloud infrastructure. This is referred to as dynamic resource management. There are several challenges being addressed with the proposed work. Some of these include the following: (1) Dynamic resource management requires that issues that arise with conflicting goals is addressed. For example, it is desirable to minimize power consumption. However, a primary focus on power consumption may lead to performance problems. A focus on performance management may lead to increased power consumption. (2) The detection of performance problems is not the same as the identification of the cause. It is important to address this in order to make the correct decisions with regard to re-allocation of resources. (3) Increasingly clients have applications with multiple software components. In re-allocating resources we must consider the impact on migrating a software component if other software components depend on it. (4) There are multiple actions that can be taken to address overload. One challenge is learning which action is best for a particular scenario. (5) The development of software to implement resource management algorithms needs to be made easier. (6) Different cloud providers will make different decisions for similar overload situations. The decisions would be based on the cloud provider’s business goals, which vary from provider to provider. Addressing these problems is important for the next-generation of cloud infrastructures that need to maintain expected performance for client applications and yet be energy efficient.