For scientific information. Intel Science & Technology Center for Cloud Computing. Publications | LinkedIn Data Team. Distributed data systems systems are used in a variety of settings like online serving, offline analytics, data transport, and search, among other use cases. They let organizations scale out their workloads using cost-effective commodity hardware, while retaining key properties like fault tolerance and scalability. At LinkedIn we have built a number of such systems. A key pattern we observe is that even though they may serve different purposes, they tend to have a lot of common functionality, and tend to use common building blocks in their architectures. One such building block that is just beginning to receive attention is cluster management, which addresses the complexity of handling a dynamic, large-scale system with many servers.
All of this shared complexity, which we see in all of our systems, motivates us to build a cluster management framework, Helix, to solve these problems once in a general way. VIAF. IBM Redbooks. Research at Google. Google publishes hundreds of research papers each year. Publishing is important to us; it enables us to collaborate and share ideas with, as well as learn from, the broader scientific community. Submissions are often made stronger by the fact that ideas have been tested through real product implementation by the time of publication. We believe the formal structures of publishing today are changing - in computer science especially, there are multiple ways of disseminating information. We encourage publication both in conventional scientific venues, and through other venues such as industry forums, standards bodies, and open source software and product feature releases.
Open Source We understand the value of a collaborative ecosystem and love open-source software. Product and Feature Launches With every launch, we're publishing progress and pushing functionality. Industry Standards Our researchers are often helping to define not just today's products but also tomorrow's. Resources Impact. Our research.
Dblp: DBLP Computer Science Bibliography - Welcome. The world's largest professional association for the advancement of technology. ACM Digital Library.