DECENTRALIZED, RESOURCE AWARE LOAD DISTRIBUTION IN A DISTRIBUTED SYSTEM

    公开(公告)号:US20180352023A1

    公开(公告)日:2018-12-06

    申请号:US15610964

    申请日:2017-06-01

    Abstract: Distributed Systems are becoming very large and are being served by 10s of 1000s of individual machines. Among heterogeneous nodes, one node's capabilities can vary widely from that of others in the same cluster, for example, in a cluster of storage servers. Each of the clients/writers may retrieve, periodically, from all the servers, important metrics such as free disk space capacity, average disk IO utilization over the last N minutes, etc. We call these client to nodes (servers) messages as “periodic metrics query.” Using received metrics, clients dynamically assign weights to each of the servers as an indication of their current capabilities. Server metrics and or weights are distributed across the clients, and each client may make independent placement decisions based on their view of the cluster. Because clients are using substantially the same information for making decisions on placement, the result is improved balance across the servers.

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