Sentence examples for different runtime environments from inspiring English sources

The primary reason is there are a variety of devices with different runtime environments and diverse hardware/software capabilities.

Mobile agent has high autonomy and mobility; it can move unbridled in different runtime environments carrying out assigned tasks while automatically detecting its current environment and responding accordingly.

Thus, it is also possible to compile the once developed FBs for different runtime environments and to run even the same applications at several hardware platforms.

The corresponding initialization of the new process and the following process communication with the different runtime environments is relatively inefficient.

In this paper we describe the design of a flexible, easy-to-use framework and execution environment that allows the parallel execution of library routines across different runtime environments invoked from some arbitrary client.

Individual application components of such services may run in different isolated runtime environments, such as chrooted jails or application containers, and may need access to system resources and the ability to collaborate and coordinate with each other in a regulated and secure manner.

Still Cloud computing in general is a strong technology that enables an elastic acquisition of compute resources which can be flexibly configured, e.g. with different platforms and runtime environments.

Though the resulting library routines were reusable and domain independent, the next problem was that the analysts were using different programming and runtime environments, which means that the reusable library routines could not directly be invoked from the runtime environments of the colleagues.

Aiming to better exploit these architectures, recent works focus on proposing novel runtime environments that offer a variety of methods for scheduling tasks dynamically on different PUs.

At its core, Chef Delivery automates changes to infrastructure, runtime environments and applications.

The next sections describe different systems approaches that provide solutions for dealing with Big Data: analytics stacks, distributed data persistence solutions, cloud data management services and parallel runtime environments.