NDLI: In cloud, do MTC or HTC service providers benefit from the economies of scale?

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In cloud, do MTC or HTC service providers benefit from the economies of scale?

Content Provider	ACM Digital Library
Author	Liang, Yi Zhan, Jianfeng Wang, Lei Shi, Weisong Yuan, Lin
Abstract	Cloud computing, which is advocated as an economic platform for daily computing, has become a hot topic for both industrial and academic communities in the last couple of years. The basic idea behind cloud computing is that resource providers, which own the cloud platform, offer elastic resources to end users. In this paper, we intend to answer one key question to the success of cloud computing: in cloud, do many task computing (MTC) or high throughput computing (HTC) service providers, which offer the corresponding computing service to end users, benefit from the economies of scale? To the best of our knowledge, no previous work designs and implements the enabling system to consolidate MTC and HTC workloads on the cloud platform and no one answers the above question. Our research contributions are threefold: first, we propose an innovative usage model, called dynamic service provision (DSP) model, for MTC or HTC service providers. In the DSP model, the resource provider provides the service of creating and managing runtime environments for MTC or HTC service providers, and consolidates heterogeneous MTC or HTC workloads on the cloud platform; second, based on the DSP model, we design and implement Dawningcloud, which provides automatic management for heterogeneous workloads; third, a comprehensive evaluation of Dawningcloud has been performed in an emulatation experiment. We found that for typical workloads, in comparison with the previous two cloud solutions, Dawningcloud saves the resource consumption maximally by 46.4% (HTC) and 74.9% (MTC) for the service providers, and saves the total resource consumption maximally by 29.7% for the resource provider. At the same time, comparing with the traditional solution that provides MTC or HTC services with dedicated systems, Dawningcloud is more cost-effective. To this end, we conclude that for typical MTC and HTC workloads, on the cloud platform, MTC and HTC service providers and the resource service provider can benefit from the economies of scale.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781605587141
DOI	10.1145/1646468.1646475
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-11-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud computing Service providers Economies of scale Many task computing High throughput computing
Content Type	Text
Resource Type	Article

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