Smart Cloud Bench is a unique end‐to‐end cloud services benchmarking platform developed by Swinburne University with financial support from the Smart Services CRC and Commercialization Australia. SCB automates testing via a bespoke application running on top of the virtual cloud servers, under different scenarios and workloads to gather “server” metrics at both application‐level and infrastructure‐level for true end‐to‐end testing.
Market research shows that even mature cloud consumers find cost management the most challenging aspect of cloud adoption, with cloud consumers wasting between 30-45% of total cloud spend, primarily due to the inefficient allocation of resources for their fluctuating workloads. Smart Cloud Manager is a cloud cost management and optimization tool that enables enterprises to cut costs while ensuring quality-assured provision of their workloads by leveraging cloud resource and contract heterogeneity.
This video demonstrates the functional feasibility of the AWaRE framework in the self-management of cloud-based enterprise systems. Self-management is realized in this system by deploying the AWARE management elements on each of the Load Balancer, Application Server and Database instances to monitor component state and liveness – in accord with system specifications written in our DSL – and also to carry out local reconfiguration actions.
This video demonstrates how the Service Aggregation Introspector tool can be used for the design-time analysis of potential solutions for a given business process subject to the service aggregator’s business rules and policies.. This tool was built for the Queensland Government Chief Information Office, the key industry participant in the Service Aggregation Project within the Smart Services CRC.
ASAPM provides an agent-based solution for adaptive service agreement management and process management. Adaptive service agreement management includes automated SLA (re-)negotiation, SLA lifecycle management, SLA monitoring and service profiling, and dynamic SLA re-negotiation. Adaptive service process management includes service composition planning and enactment, QoS process monitoring and exception handling, and mediated composition re-planning.