Paper Info
Title
Cost-Aware Cloud Metering with Scalable Service Management Infrastructure
Abstract
As the cloud services journey through their lifecycle towards becoming commodities, the demand is increasing for \"pay-per-use\" pricing model. In this model, users are charged for the amount of resources, e.g., Volume of transactions, CPU usage, etc., being consumed during a given time period. Software as a Service (SaaS) providers charging their customers via pay-per-use (e.g., Microsoft Azure Web Services) and facing Infrastructure as a Service (IaaS) costs per VM per month (e.g., Soft Layer) have to carefully choose and scale their non-revenue generating service management infrastructure to penetrate and stay in the market. In this paper, we focus on the metering and rating aspects of cloud service management, and their scalability with the SaaS business and operational changes. We design a framework for cloud service providers to scale their revenue management systems in a cost-aware manner, where the deployment of these revenue systems dynamically uses existing or newly provisioned SaaS VMs, instead of the extant approach of using dedicated setups. Our experimental analysis shows that service management related tasks can be offloaded to the existing VMs with at most 15% overhead in CPU utilization, 10% overhead for memory usage, and negligible overhead for I/O and network usage. We used traces from IBM production servers to mimic the load on VMs. By dynamically scaling the service management setup, we were able to adapt to increasing metering data processing requirements without incurring additional cost, while preserving the infrastructure footprint.
Year
DOI
Venue
2015
10.1109/CLOUD.2015.46
CLOUD
Keywords
Field
DocType
Scalable cloud metering,Cloud monitoring,Cloud management
Cloud management,Service management,Computer science,Server,Real-time computing,Provisioning,Software as a service,Web service,Operating system,Cloud testing,Cloud computing
Conference
ISSN
Citations 
PageRank 
2159-6182
6
0.59
References 
Authors
22
6
Name
Order
Citations
PageRank
Ali Anwar111314.83
Anca Sailer29612.45
Andrzej Kochut372255.38
C. Schulz4111.42
Alla Segal530320.95
Ali R Butt621017.36