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Abstract: In this paper, we intend to answer one key question to the success of cloudcomputing: in cloud, do many task computing MTC or high throughput computingHTC service providers, which offer the corresponding computing service to endusers, benefit from the economies of scale? Our research contributions arethree-fold: first, we propose an innovative usage model, called dynamic serviceprovision DSP model, for MTC or HTC service providers. In the DSP model, theresource provider provides the service of creating and managing runtimeenvironments for MTC or HTC service providers, and consolidates heterogeneousMTC or HTC workloads on the cloud platform; second, according to the DSP model,we design and implement DawningCloud, which provides automatic management forheterogeneous workloads; third, a comprehensive evaluation of DawningCloud hasbeen performed in an emulatation experiment. We found that for typicalworkloads, in comparison with the previous two cloud solutions, DawningCloudsaves the resource consumption maximally by 46.4% HTC and 74.9% MTC for theservice providers, and saves the total resource consumption maximally by 29.7%for the resource provider. At the same time, comparing with the traditionalsolution that provides MTC or HTC services with dedicated systems, DawningCloudis more cost-effective. To this end, we conclude that for typical MTC and HTCworkloads, on the cloud platform, MTC and HTC service providers and theresource provider can benefit from the economies of scale.



Autor: Lei Wang, Jianfeng Zhan, Weisong Shi, Yi Liang, Lin Yuan

Fuente: https://arxiv.org/







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