SmartGridRPC: The new RPC model for high performance Grid computing

SmartGridRPC: A New RPC Model for High Performance Grid Computing and its Implementation in SmartGridSolve

This thesis presents the SmartGridRPC model, an extension of the GridRPC model, which aims to achieve higher performance. The traditional GridRPC model provides an API and model for mapping individual tasks of an application in a distributed Grid environment which is based on the client-server model or star network topology. The SmartGridRPC model provides an API and model for mapping a group o...

GrADSolve - RPC for High Performance Computing on the Grid

Although high performance computing has been achieved over computational Grids using various techniques, the support for high performance computing on the Grids using Remote Procedure Call (RPC) mechanisms is fairly limited. In this paper, we discuss a RPC system called GrADSolve that supports execution of parallel applications over Grid resources. GrADSolve employs powerful scheduling techniqu...

Green Energy-aware task scheduling using the DVFS technique in Cloud Computing

Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...

GrADSolve - RPC for High Performance Computing on the Grid

E2DR: Energy Efficient Data Replication in Data Grid

Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...