Jawad Ashraf

Learn More
Advance reservation can ensure the future availability of the Grid's heterogeneous resources and help a scheduler to produce better schedules. We propose a new resource mapping technique for jobs of a Grid workflow in an advance reservation environment. Using the Dynamic Critical Path for Grid (DCP-G) scheduling algorithm's job selection method, our(More)
Scheduling workflows in Grids with the goal of minimizing the completion time is a challenging optimisation problem. Communication times between dependent tasks affect the schedule length only if the tasks are scheduled on different resources, and this makes it difficult to predict the critical path of the scheduled workflow. To address this difficulty, we(More)
Text document clustering is an important issue in the field of information retrieval and web mining. Huge amount of text documents are needed to be clustered so that search engines can retrieve these documents efficiently and effectively. In this paper we present a novel approach for clustering text documents based on Maximal Frequent Item-set (MFI). Our(More)
Automated advance reservation has the potential to ensure a good scheduling solution in computational Grids. To improve global throughput of Grid system and enhance resource utilization, workload has to be distributed among the resources of the Grid evenly. This paper discusses the problem of load distribution and resource utilization in heterogeneous Grids(More)
Urdu ranks very high among languages used for communication in the Sourthrn Asia. Even though with great following, it clearly lack computational support that is why it is written in Romanized Urdu script. Even though, a lot of Romanized Urdu data is available online but it still lacks a refined Corpus. In our research, we have proposed a refined Romanized(More)
Frequent itemsets (FIs) mining is a prime research area in association rule mining. The customary techniques find FIs or its variants on the basis of either support threshold value or by setting two generic parameters, i.e., N (topmost itemsets) and $$K_\mathrm{{max}}$$ K max (size of the itemsets). However, users are unable to mine the absolute desired(More)
This paper focuses on the word sense disambiguation (WSD) problem in the context of Urdu language. Word sense disambiguation (WSD) is a phenomena for disambiguating the text so that machine (computer) would be capable to deduce correct sense of individual given word(s). WSD is critical for solving natural language engineering (NLE) tasks such as machine(More)
-Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of human language. The way through which we share our contents or feelings have always great importance in understanding and processing of(More)
  • 1