2019/12/01 by Vatche Ishakian, Ishakian, Vatche, Azer Bestavros +3
Computer Science · #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Software-Defined Networks and 5G #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.1912.00549
openalex publication_date 2019/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In hosting environments such as IaaS clouds, desirable application\nperformance is usually guaranteed through the use of Service Level Agreements\n(SLAs), which specify minimal fractions of resource capacities that must be\nallocated for use for proper operation. Arbitrary colocation of applications\nwith different SLAs on a single host may result in inefficient utilization of\nthe host's resources. In this paper, we propose that periodic resource\nallocation and consumption models be used for a more granular expression of\nSLAs. Our proposed SLA model has the salient feature that it exposes\nflexibilities that enable the IaaS provider to safelya transform SLAs from one\nform to another for the purpose of achieving more efficient colocation. Towards\nthat goal, we present MorphoSys: a framework for a service that allows the\nmanipulation of SLAs to enable efficient colocation of workloads. We present\nresults from extensive trace-driven simulations of colocated Video-on-Demand\nservers in a cloud setting. The results show that potentially-significant\nreduction in wasted resources (by as much as 60%) are possible using MorphoSys.\n