【今日新增】多领域国际会议截稿信息6条

全文截稿: 2017-08-25

开会时间: 2017-11-13

会议难度: ★★

CCF分类: 无

会议地点: Kansas City, USA

网址：https://sites.google.com/a/unomaha.edu/rrobin2017/

Recent progress in high-throughput technology has generated vast amounts of data. Determining how to obtain valuable knowledge from such massive raw data is a challenging issue in biomedical research and consequently developing advanced data analysis tools for bioinformatics is an important research area. While a number of methods for extracting knowledge from data are available, there has been very little work on ensuring the robustness, reproducibility, or consistency of the results. This creates a lack of confidence in bioinformatics methods as well as a lack of the bench to bedside connection desired of biomedical and clinical research. Particularly, these reservations stem from a lack of testing on the reliability of the model. Guaranteeing reproducibility, rigor, and consistency analysis represents an important step toward better understanding of the critical noise versus signal issue in bioinformatics models. Our workshop aims to bring together researchers in data analysis and bioinformatics, as well as wet-lab biologists, to discuss the importance of reproducibility and consistency of biological data and methods to achieve it particularly in the context of network analysis.

全文截稿: 2017-08-31

开会时间: 2017-12-11

会议难度: ★★

CCF分类: 无

会议地点: Las Vegas, NV, USA

网址：http://www.serverlesscomputing.org/wosc2/cfp/index.html

Welcome to the home page of the Second International Workshop on Serverless Computing (WoSC).  In conjunction with the 18th ACM/IFIP/USENIX Middleware conference (MIDDLEWARE 2017). The workshop will take place in Las Vegas, NV, USA.

Serverless Computing (Serverless) is emerging as a new and compelling paradigm for the deployment of cloud applications, and is enabled by the recent shift of enterprise application architectures to containers and micro services.  Many of the major cloud vendors, have released serverless platforms within the last two years, including Amazon Lambda, Google Cloud Functions, Microsoft Azure Functions, IBM OpenWhisk. There is, however, little attention from the research community. This workshop brings together researchers and practitioners to discuss their experiences and thoughts on future directions.
Serverless architectures offer different tradeoffs in terms of control, cost, and flexibility. For example, this requires developers to more carefully consider the resources used by their code (time to execute, memory used, etc.) when modularizing their applications. This is in contrast to concerns around latency, scalability, and elasticity, which is where significant development effort has traditionally been spent when building cloud services. In addition, tools and techniques to monitor and debug applications aren't applicable in serverless architectures, and new approaches are needed. As well, test and development pipelines may need to be adapted. Another decision that developers face are the appropriateness of the serverless ecosystem to their application requirements. A rich ecosystem of services built into the platform is typically easier to compose and would offer better performance. However, composing external services may be unavoidable, and in such cases, many of the benefits of serverless disappear, including performance and availability guarantees. This presents an important research challenge, and it is not clear how existing results and best practices, such as workflow composition research, can be applied to composition in a serverless environment.