DCPerf 2020 - 10th International Workshop on Big Data and Cloud Performance (DCPerf’20)
Topics/Call fo Papers
The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) will be held in conjunction with the IEEE INFOCOM'20 in Beijing, China on April 27, 2020. The goal of DCPerf is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. Submissions on any topics of datacenter, cloud and bigdata performance are welcome. Submission site will remain open until Jan. 8th, 2020.
Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications.
The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud.
Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications.
The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud.
Other CFPs
- IEEE INFOCOM 2020 Workshop NI-CPS: Modeling, Analysis and Advancement of Network Infrastructure in Cyber-Physical Systems
- 4th International Conference on Consumer Electronics and Device (ICCED 2020)
- 13th International Workshop on Wireless Sensor, Robot and UAV Networks
- 4th IEEE International Workshop on Wireless Communications and Networking in Extreme Environments (IEEE WCNEE 2020)
- 3rd International Workshop on Network Intelligence (NI 2020): Learning and Optimizing Future Networks
Last modified: 2019-11-18 12:04:28