An Enhanced PSO Algorithm for Scheduling Workflow Tasks in Cloud Computing

Abstract: This paper proposes an enhanced Particle Swarm Optimization (PSO) algorithm in order to deal with the issue that the time and cost of the PSO algorithm is quite high when scheduling workflow tasks in a cloud computing environment. To reduce particle dimensions and ensure initial particle quality, intensive tasks are combined when scheduling workflow tasks. Next, the particle initialization is optimized to ensure better initial particle quality and reduced search space. Then, a suitable self-adaptive function is integrated to determine the best direction of the particles. The experiments show that the proposed enhanced PSO algorithm has better convergence speed and better...

The Enabling Role of Information Technology in Software Engineering and Information Management Process: An Evolutionary Analysis

Abstract: Information Technology (IT) management is the practice of managing all IT resources in accordance with a company's strategic goals and demands. This comprises both real resources such as networking hardware, equipment, and personnel and intellectual properties such as software as well as data. IT has the ability to speed software development, quality, as well as effectiveness. The primary goal of IT management is to create value through the application of technology. To accomplish this, corporate objectives and technology should be in sync. Understanding the evolutionary procedures of information technology management is crucial to better comprehend how to handle IT nowadays. Many...

Text Mining Approach to Extract Associations Between Obesity and Arabic Herbal Plants

Abstract: Historical information on herbal medicines is underexploited and this is particularly true of the important resources of Arabic herbal medicines. Current research into Arabic medicinal plants as alternative medicine is limited and there is a lack of accurate translations and interpretations of herbal medicine texts. This research focuses on an investigation of Arabic herbal medicinal plants in relation to the problem of obesity. This paper demonstrates how text mining can help extract relevant concepts associated with Arabic herbal plants and obesity in order to discover associations between the herbal medicinal ingredients and obesity symptoms. Published in: book: The...

A Weighted TFIDF Technique for Inclusion of Reposting Engagement on Social Media

Text analysis is a field of study in data science that analyses human-generated textual data generated through books, articles, reviews, social media posts and discussions among other sources. Text is initially converted to numerical data using the well-known "term frequency-inverse document frequency" (TFIDF) technique. TFIDF measures the importance of each word in a document relative to other words in the document and the whole data corpus. Data generated from social media has a unique nature: In addition to the text itself, a post on social media can have different types of engagement such as likes, replies, and reposts.

Research papers published

Analgesic, anti-inflammatory and anti-pyretic activities of aqueous ethanolic extract of Tamarix aphylla L. (Saltcedar) in mice’ , Muhammad Imran Qadir, Khizar Abbas, Rahma Hamayun and Muhammad Ali, Pak. J. Pharm. Sci 2014; 27(6): 1985-1988. Knowledge and awareness of doctors about herbal drugs in the Northern Border Region of Saudi Arabia. Elhassan Hussein Eltom, Bandar Alenezi, Rahma Hamayun, Jawza Sulaiman Alenezi, Hajar Ghdab Alruwaili, Muhammad Akram Randhawa. Annals of Clinical and Analytical Medicine. Comparison between the effects of thymoquinone obtained from the seeds of Nigella sativa and verapamil on the volume and acidity of gastric acid secretion. Hamayun R, Jan M, Fazeel M...

An Optimal Transition-Based Recovery Policy for Controlling Deadlock Within Flexible Manufacturing Systems Using Graph Technique

Weighted Petri nets are common tools for modeling and validating discrete event systems involving resource allocation, such as flexible manufacturing systems (FMSs). A subclass of weighted Petri nets called a system of sequential systems with shared resources (S4R) has the power for modeling complex FMSs where the execution of an operation may require multiple resource types and multiple units of some resource types. Deadlock resolution is a crucial issue for the operation of an FMS. A direct and efficient policy is developed in this paper for detecting deadlock markings by extracting a weighted resource flow graph (WRFG) from an S4R and recovering them by synthesizing a recovery-transition...