The IT industry is experiencing a disruptive trend for which the entire data center infrastructure is becoming software defined and programmable. IT resources are provisioned and optimized continuously according to a declarative and expressive specification of the workload requirements. The software defined environments facilitate agile IT deployment and responsive data center configurations that enable rapid creation and optimization of value-added services for clients. However, this fundamental shift introduces new challenges to existing data center management solutions. In this paper, we focus on the storage aspect of the IT infrastructure and investigate its unique challenges as well as opportunities in the emerging software defined environments. Current state-of-the-art software defined storage (SDS) solutions are discussed, followed by our novel framework to advance the existing SDS solutions. In addition, we study the interactions among SDS, software defined compute (SDC), and software defined networking (SDN) to demonstrate the necessity of a holistic orchestration and to show that joint optimization can significantly improve the effectiveness and efficiency of the overall software defined environments.

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Today's application environments combine Cloud and onpremise infrastructure, as well as platforms and services from different providers to enable quick development and delivery of solutions to their intended users. The ability to use Cloud platforms to stand up applications in a short time frame, the wide availability of Web services, and the application of a continuous deployment model has led to very dynamic application environments. In those application environments, managing quality of service has become more important. The more external service vendors are involved the less control an application owner has and must rely on Service Level Agreements (SLAs). However, SLA management is becoming more difficult. Services from different vendors expose different instrumentation. In addition, the increasing dynamism of application environments entails that the speed of SLA monitoring set up must match the speed of changes to the application environment.This paper proposes the rSLA service and language that is both flexible enough to instrument virtually any environment and agile enough to scale and update SLA management as needed. Using rSLA the time of setting up SLA compliance monitoring of application environments involving infrastructure, platform, and application services can be significantly reduced.

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