In this paper we present a multicost algorithm for the joint time scheduling of the communication and computation resources that will be used by a task. The proposed algorithm sel...
Kostas Christodoulopoulos, Nikolaos D. Doulamis, E...
Workflow Management System is generally utilized to define, manage and execute workflow applications on Grid resources. However, the increasing scale complexity, heterogeneity and...
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
—In this paper we present an autonomic web services architecture that manages both the performance of service containers and the interconnection of those containers into a servic...
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
— Data grids and its cost effective nature has taken on a new level of interest in recent years; amalgamation of different providers results in increased capacity as well as lowe...
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
In this work we examine a task scheduling and data migration problem for Grid Networks, which we refer to as the Data Consolidation (DC) problem. DC arises when a task needs for i...
Panagiotis C. Kokkinos, Kostas Christodoulopoulos,...