The 2nd IEEE Workshop on Cloud Analytics
March 12, 2015
Colocated with the IEEE International Conference on Cloud Engineering (IC2E)
Clouds have become popular platforms for running big data applications, but cloud data centers are also sources of vast amounts of information about the client workloads, applications, servers, and networks within them. This data includes server utilization traces, application logs, reliability measurements, and security audit records, all of which can provide valuable information to both cloud providers and tenants. Given the scale of cloud deployments, systematic analytical approaches are critically needed to provide insights about these types of cloud data in order to improve the performance, efficiency, and resiliency of cloud platforms.
For instance, cloud providers need to constantly be aware of the running status and any anomalies in functionality from their cloud to be able to quickly fix any issues that may arise, to monitor and adjust physical resource allocations to ensure that their customers get the best performance, and plan which services to offer to get the best return on investment. Similarly, cloud users need to understand the workload to be deployed into the cloud, plan the deployment in a cost-effective way, or ascertain the flexibility and service quality provided by different cloud environments and use this to decide their deployment strategy. Analytics can play a pivotal role in all these scenarios. By gathering insights from the large amount of data from the cloud, both cloud providers and consumers can develop analytical approaches to achieving their respective objectives in spite of the scale that clouds provide.
The purpose of this workshop is to provide a forum for researchers with expertise ranging from modeling to systems architecture to exchange ideas, and share their experiences in developing analytics to better deploy, operate and use the cloud. Specifically, we wish to foster research contributions that draw on statistical analysis, analytical modeling, and machine learning to develop novel solutions applicable to management in cloud data centers.
IWCA'15 will be held in conjunction with the International Conference on Cloud Engineering (IC2E) 2015. We will build upon the success of IWCA'14, which included four paper sessions, a keynote talk, and a panel discussion.
Paper submission due: Sunday December 7th 11:59PM AoE
Notification of acceptance: TBD (Mid January)
Final camera-ready papers due: TBD (Late January)
Workshop date: Thursday March 12, 2015
Topics of interest include, but are not limited to, the following:
- Cloud workload measurement and analysis
- Workload behavior modeling
- Analytics for application deployment in cloud
- Performance modeling of cloud applications
- Cloud performance benchmarking
- Resource utilization optimization
- Tracing and problem identification in cloud systems
- Log and monitoring data analysis
- Problem diagnosis and troubleshooting
- Security and intrusion detection
- Reliability engineering, fault management, and disaster recovery
- Design and implementation of analytics systems
- Business optimization in cloud operations
The IWCA workshop invites authors to submit original and unpublished work. Papers should not exceed 6 pages in IEEE style (single-spaced 2-column text using 10-point size type on 8.5" x 11" paper). Authors should submit a PostScript (level 2) or PDF file that will print on a PostScript printer.
- All selected papers will be peer-reviewed.
- For each accepted paper, at least one author is required to register and present the paper at the workshop.
- All accepted papers will be published with IEEE Xplore.