Component-level virtual machines: A paradigm for achieving controllability in cloud-deployed dynamic distributed systems

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Component-based software engineering (CSBE) has become standard, e.g., Microsoft's COM, Sun's EJB, and CORBA CCM. Modern societies have become reliant on CSBE systems for core services across many diverse domains, e.g., entertainment and social networking, banking and finance, healthcare, eGovernment, and critical infrastructure. But, ensuring that real-world CSBE systems are robust to failure, meet their quality of service (QoS) guarantees, etc., has remained an open problem, in part due to the lack of predictability of server-level behaviours. Queuing theory provide abstracted models of CSBE system behaviours that tend to become suspect towards a system's performance, capacity, and fault boundaries and neglect system dynamics and transients. Cloud-deployed dynamic distributed systems (DDS) offers a paradigm to address some of these issues by enabling distributed systems that grow/shrink in real-time in response to workload demand. But, DDS introduce closed-loop control theory issues into software systems given DDS use feed back control loops, i.e., stability, transients, potential oscillatory behaviours, etc., all come into play.