Resource management for mixed workloads is attained with the prioritization of their tasks, which during their execution may be forced to release some of their resources.
Moreover, additional demands on more broad decision making within enterprises are causing heavy consolidation and nontraditional mixed workloads beyond what has been conventional in the past.
The results indicate that when the system is in presence of mixed workloads, SRC-I/O scheduler outperforms many existing VM schedulers in terms of energy-efficiency and I/O responsiveness.
As data centers and applications grow more heterogeneous, allocating the proper resources to various applications increasingly depends on understanding the tradeoffs between different allocations, because mixed workloads may benefit from different resources e.g. GPU, Solid State Drives(as SSD).
(3) Finally, we prove MixHeter can greatly decrease execution time than capacity scheduler of Hadoop 2.7.3 and capacity scheduler with label-based scheduling up to 15%60%% in heterogeneous environments, especially in the condition of mixed workloads with different resource preferences.
Meanwhile, it separates I/O-intensive VMs from CPU-intensive ones and schedules them in a collective manner, so as to reduce the context-switching cost when scheduling mixed workloads.
Thus we reconsider the problem in this paper and make three contributions: (1) Through analysis of experimental results, we summarize the main reasons of poor performances are unreasonable allocation of tasks between heterogeneous nodes and improper allocation of resources to mixed workloads; (2) To resolve them, we propose a global scheduler MixHeter based on or-constraints.
The autonomous transaction processing database handles any kind of mixed workloads, including transactions and analytics, batch processing, reporting, and the like.
That database comes in two versions: Oracle Autonomous Data Warehouse Cloud, generally available since March, is optimized for analytics and reporting workloads, while Oracle Autonomous Transaction Processing Cloud, released in August, is tuned for complex transactions and mixed workloads.
