Based on the Spark
distributed computing environment, this paper uses the parallel covering algorithm to cluster the services in each candidate service set (Algorithm 1).
Unfortunately, these load balancing algorithms cannot work directly in recent
distributed computing environments such as Cluster, Grid, and Cloud computing systems.
Distributed computing environments make use of multiple computing resources simultaneously.
We have a complete inventory of vendor components used in our mainframe, telecommunications, and
distributed computing environments, and vendor coordination and system change are progressing well.
Comprehensive administrative procedures, a strong single log-on solution and application control can provide a secure
distributed computing environment without sacrificing end-user productivity requirements.
Besides running in a windowed environment, ISIS/Base offers another important technological advantage that can make our researcher's job easier: it runs in a
distributed computing environment. Translated, this means that individual computers in a corporate environment automatically do the tasks that they perform best, but the scientist only sees results on one computer.
To hypothetically study the nature of load balancing principles in a large-scale
distributed computing environment, we modeled a simulator with an objective policy, impacting parameters and its principal constraints.
Prior to engaging a cloud backup solution, backing up LOGiQ3's
distributed computing environment was challenging.
Hence, many simulators of road traffic have been adapted for
distributed computing environment, for example (Nagel & Rickert, 2001) and (Gonnet, 2001).
Standards such as the
Distributed Computing Environment (DCE) provided a product-independent way for integrating security with enterprise applications.
The company attributes the achievement of this milestone to the demand for low-end, sub-60 MIPS mainframes as companies seek a cost-effective solution to maintain the performance, security, stability and scalability of their mainframe environment, while preserving the legacy code and historical data that would be lost in a migration to a
distributed computing environment.
Cybermations ESP Espresso solution, ESP Espresso, provides a single point of control for automation and optimisation of workload in a
distributed computing environment The solution provides a framework to manage the an enterprise wide batch workload on mixed processing platforms and operating systems, including UNIX, Windows NT/2000, IBM OS/400, Open VMS, Tandem NSK and SAP R/3.