SALSA: A Framework for Dynamic Configuration of Cloud Services

Abstract

Contemporary cloud services are constructed from different types of software and deployed on multiple cloud infrastructures, which offer various configuration options, and can change dynamically at runtime. Due to this complexity, such cloud services require substantial configuration efforts. Currently we lack techniques for automating the complex tasks and providing fine-grained configuration features for multi-cloud services. In this paper, we present a novel multi-level configuration approach for complex cloud services on multi-cloud environments. We develop techniques for automating configuration orchestration activities. Our solution enables the fine-grained configuration at different application abstraction levels and supports the dynamic change of cloud services at runtime. We provide the SALSA framework to implement our approach and demonstrate its usefulness with several real-world services.

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments

“…When considering multiple clouds (i.e. hereafter also termed as multi-cloud), application deployment becomes complex as each individual cloud may have specific configuration parameters [10], and its resource availability and utilization can change dynamically. There is therefore a need for automatic configuration of complex cloud services at different abstraction levels.…”

“…SALSA, a framework for configuration orchestration of services in multiple clouds [10], provides a model for application configuration and deployment of multiple types of services. The configuration information supports several levels of cloud services, such as applications, deployment relationships at multiples software stacks and the association between service units and configuration capabilities.…”

“…In this context, solutions are needed for the automatic configuration of complex cloud services. Cloud infrastructure comprising heterogeneous hardware environments may need the specification of configuration parameters at several levels such as the operating systems, service containers and network capabilities [10]. As users, who need to execute applications, may not know how to map their requirements to available resources, this lack of knowledge about the cloud provider infrastructure will lead either to overestimating or underestimating required…”

“…Hybrid infrastructure, where there are many cloud providers with heterogeneous environments and configurations, often needs to use an orchestrator to manage the results and data input from users. The orchestrator must be decentralized [10] in order to improve data distribution in the network. The infrastructure enables the use of highly heterogeneous machines.…”

Fast-Sec: an approach to secure Big Data processing in the cloud

“…In this context, solutions are needed for the automatic configuration of complex cloud services at several abstraction levels. Cloud infrastructures comprising heterogeneous hardware environments may need the specification of configuration parameters at several levels such as the operational system, service containers and network capabilities [27]. As users need to execute applications may not know how to map their requirements to available resources, this lack of knowledge about the cloud provider infrastructure will lead either to overestimation or underestimation; both are equally bad as the former leads to waste of resources whereas the second sacrifices quality of service.…”