activity
20012007
most citedBulk Scheduling with the DIANA Scheduler

25 citations · 62 across the 13 of their papers we have counts for

collaborators

13 papers

cs.DC2007★ 4 cited

Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments

Richard McClatchey, Ashiq Anjum, Heinz Stockinger +3

In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in com…

cs.DC2007★ 6 cited

DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling

A. Anjum, R. McClatchey, H. Stockinger +6

The use of meta-schedulers for resource management in large-scale distributed systems often leads to a hierarchy of schedulers. In this paper, we discuss why existing meta-scheduli…

cs.DC2007★ 1 cited

Mobile Computing in Physics Analysis - An Indicator for eScience

A. Ali, A. Anjum, T. Azim +7

This paper presents the design and implementation of a Grid-enabled physics analysis environment for handheld and other resource-limited computing devices as one example of the use…

cs.DC2007

A Multi Interface Grid Discovery System

A. Ali, A. Anjum, J. Bunn +6

Discovery Systems (DS) can be considered as entry points for global loosely coupled distributed systems. An efficient Discovery System in essence increases the performance, reliabi…

cs.DC2006★ 25 cited

Bulk Scheduling with the DIANA Scheduler

Ashiq Anjum, Richard McClatchey, Arshad Ali +1

Results from the research and development of a Data Intensive and Network Aware (DIANA) scheduling engine, to be used primarily for data intensive sciences such as physics analysis…

cs.DC2006

Bulk Scheduling with DIANA Scheduler

Ashiq Anjum, Richard McClatchey, Arshad Ali +1

Results from and progress on the development of a Data Intensive and Network Aware (DIANA) Scheduling engine, primarily for data intensive sciences such as physics analysis, are de…