ITR/SY: QoS-Aware Execution Environments for Multi-tier Network Services

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Modern, componentized Internet services allow server consolidation by sharing common service components. Such sharing can potentially reduce the installation cost, space, and energy consumption. However, to date, services are seldom shared across server applications to avoidpossible interference between them. Service providers often runmultiple instances of shared services, one for each frontendservice. The only benefit gained thus far, from the deployment ofmulti-tier services is that new services can be composed quickly usingexisting service components. Since these servicecomponents may execute on different machines, each optimally configuredfor its services, multi-tiered services tend to be morescalable than monolithic counterparts.The proposed research aims to address the shortcoming of currentOSs in executing multi-tiered services. We will focus on OS extensions that correlate and trace service activities across the tiers of a multi-tiered server farm. We will develop mechanisms for onlineclassification of activities (e.g., premium vs.~basic service classes), as well as mechanisms that allow system administrators to insulate (performance-wise) different service classes even when the activities of different service classes may overlap and share backend services. The same OS mechanisms that are used to manage multi-tiered services can be used to analyze the interactions between different tiers and the interferences between different service classes. We will show that a combination of service interaction analysis and service policing minimizes performance invasiveness between services/applications. We will also investigate how to improve insulation between services in this environment. We will explore how service implementations may take advantage of an improved OS infrastructure for multi-tiered