Data-Driven and Demand-Driven Computer Architecture
ACM Computing Surveys (CSUR)
A dynamically reconfigurable distributed computing system.
A dynamically reconfigurable distributed computing system.
A Task Allocation Model for Distributed Computing Systems
IEEE Transactions on Computers
Optimal File Allocation in a Multiple Computer System
IEEE Transactions on Computers
Control of Distributed Processes
Computer
Logical distribution of applications and data
IBM Systems Journal
Task Allocation and Precedence Relations for Distributed Real-Time Systems
IEEE Transactions on Computers
CaPaS: an optimal security-aware cache replacement algorithm for cluster storage systems
International Journal of High Performance Systems Architecture
Hi-index | 14.98 |
Communication among program modules plays an important role in the performance of distributed processing systems. In this paper, a model for estimating intermodule communication (IMC) is developed. The model derives communication volume based on module invocation rates and file access probabilities via the control-and-data-flow graph. The IMC model is validated by simulation experiments. Interprocessor communication (IPC) and system resources utilization can be estimated from the IMC. We show that IMC and IPC are useful in finding good module assignments in distributed processing systems.