NDLI: On the Provision of SaaS-Level Quality of Service within Heterogeneous Private Clouds

Content Provider	IEEE Xplore Digital Library
Author	Orellana, Julio Proano Caminero, Maria Blanca Carrion, Carmen
Copyright Year	2014
Abstract	The efficient utilization of computing resources, consisting of multi-core CPUs, GPUs and FPGAs, has become an interesting research problem for achieving high performance on heterogeneous Cloud computing platforms. In particular, FPGA accelerators can provide significant business value in Cloud environments due to its great computing capacity with predictable latency and low power consumption. In this paper, a Software as a Service (SaaS) model is enhanced with Quality of Service (QoS) support, harnessing such heterogeneous hardware architecture (composed of conventional CPUs plus FPGAs as accelerator). More precisely, the proposal takes into account timing user requirements to manage virtual resources. Hence, novel heterogeneous-aware resource allocation and scheduling algorithms are presented, which can be used both on-demand and in-advance. A lineal regression model that predicts the cost of the requested service is combined with a simple heuristic algorithm in order to allocate different types of Virtual Machines (VMs). Moreover, the framework provides the service efficiently by using an adapted scheduling algorithm that combines CPUs and accelerator resources.
Starting Page	146
Ending Page	155
File Size	546799
Page Count	10
File Format	PDF
ISBN	9781479978816
DOI	10.1109/UCC.2014.23
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	FPGAs Cloud computing Cloud Computing Software as a service Quality of service Heterogeneous Resources SaaS Hardware Resource management Catalogs Field programmable gate arrays Quality of Service
Content Type	Text
Resource Type	Article

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