Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

A disaggregated data center (DDC) can efficiently use resources such as CPU and memory. In a DDC, because each resource is independent and connected by a network, communication between resources is required for task execution. Communication delays can be an overhead for task execution, causing performance degradation. Because communication delays depend on the correspondence between resources on the network and the paths over which they communicate, an efficient resource allocation method is required to determine this relationship. Herein, we propose a resource allocation method called RA-CNP to execute many tasks simultaneously while satisfying performance requirements. This method models the impact of the network on the performance of tasks for the provided service. Furthermore, this method defines a resource allocation problem to avoid the allocation of resources that will be requested in the future. We evaluated the effectiveness of our method by simulating various DDC networks, assuming a DDC at the edge. The results demonstrated that RA-CNP could execute more tasks than conventional methods could, without violating performance requirements, based only on current network information in both networks configured by circuit and packet switches. RA-CNP could allocate resources in less than 10 s, even in a relatively large network configured with 64 switches; this capability demonstrates its practicality.