Early detection is the key to minimizing failure damage induced by configuration errors,
especially those errors in configurations that control failure handling and fault tolerance …

Large-scale cloud services deploy hundreds of configuration changes to production systems
daily. At such velocity, configuration changes have inevitably become prevalent causes of …

Large services depend on correct configuration to run efficiently and seamlessly. Checking
such configuration for correctness is important because services use a large and …

Resource Managers like Apache YARN have emerged as a critical layer in the cloud
computing system stack, but the developer abstractions for leasing cluster resources and …

In this demo proposal, we describe REEF, a framework that makes it easy to implement
scalable, fault-tolerant runtime environments for a range of computational models. We will …

With the increasing prevalence of heterogeneous hardware and the increasing need for
online reconfiguration, there is increasing demand for heterogeneous configurations …

Resource Managers like YARN and Mesos have emerged as a critical layer in the cloud
computing system stack, but the developer abstractions for leasing cluster resources and …

Deploying a large-scale distributed ecosystem such as HBase/Hadoop in the cloud is
complicated and error-prone. Multiple layers of largely independently evolving software are …

With the continuous expansion of software scale and the continuous complexity of software
functions, abnormal parameter configuration often brings adverse effects to the software …

Association relationship and types between software service configuration parameters
determine that the configuration items must meet the corresponding rules and constraints in …