Mete: meeting end-to-end qos in multicores through system-wide resource management

Management of shared resources in emerging multicores for achiev-ing predictable performance has received considerable attention in recent times. In general, almost all these approaches attempt to guarantee a certain level of performance QoS (weighted IPC, har-monic speedup, etc) by managing a single shared resource or at most a couple of interacting resources. A fundamental shortcoming of these approaches is the lack of coordination between these shared resources to satisfy a system level QoS. This is undesirable because providing end-to-end QoS in future multicores is essential for sup-porting wide-spread adoption of these architectures in virtualized servers and cloud computing systems. An initial step towards such an end-to-end QoS support in multicores is to ensure that at least the major computational and memory resources on-chip are man-aged efficiently in a coordinated fashion