تفسیر دعوۃ القرآن کے امتیازات و خصائص

Quran is the word of Allah Almighty, therefore, in order to understand it in the true sense, a person has to sharpen his or her intellectual ability as well as increase the knowledge. When one is at a particular intellectual level, only then can he or she start understanding the true message, which Allah Almighty conveyed through words of Quran. Pertaining to the explanation of Quran for the understanding of general audience, different people have tried to write the Tafseer of Quran. Although Muslims recite Quran and try reading it with translation, however, the reading of Tafseer has its own importance. “Tafseer Dawat-Ul-Quran” is written by Abu Nauman Saifullah Khalid and published from Dar-Ul_Undalus Lahore in 2010. This Tafseer has been written in the light of the Quran, Hadith, and the sayings of the companions of Prophet. In this Tafseer correct tradit-ions has been included and unauthentic traditions has been avoided. In  theological  interpretations,   the  words  of  Qur'an are  explained  in  the context of the Qur'an itself or the sayings of The  Holy Prophet(ﷺ). This type of interpretation is called “Tafseer Bilmasur”.“Tafseer Dawat-Ul-Quran”is representative of Tafseer Bilmasur. In this research article, the Salient features of “Tafseer Dawat-Ul-Quran” are discussed.

Sim-Cumulus: A Large-Scale Network-Simulation-As-A-Service

Large-scale network simulations are resource and time intensive tasks due to a number of factors i.e., setup configuration, computation time, hardware, and energy cost. These factors ultimately force network researchers to scale-down the scope of experiments, either in terms of Simulation Entities (SEs) involved or in abridging expected micro-level details. The Cloud technology facilitates researchers to address mentioned factors by the provisioning of Cloud instances on shared infrastructure. In this thesis, an academic Cloud SIM-Cumulus targeting the research institutions is proposed. The thesis is divided into three parts, each part discussing the contributions achieved in thesis. The first part of this thesis discusses the design and implementation of SIMCumulus academic Cloud framework for the provisioning of Network-Simulationas-a-Service (NSaaS). SIM-Cumulus provides the framework of Virtual Machine (VM) instances specifically configured for large-scale network simulations, with the aim of efficiency in terms of simulation execution time. The performance of SIM-Cumulus is evaluated using large-scale Wireless Network simulations that are executed sequentially as well as in parallel. Simulation results show that SIM-Cumulus is beneficial in two aspects i.e., (i) promotion of research within the domain of computer networks through configured Cloud instances of network simulators (ii) consumption of considerably fewer resources in terms of simulation elapsed time and usage cost. The execution of simulation in parallel involves the partitioning of simulation model into several components and each component is assigned to separate execution units (Logical Processes (LPs)). Each LP is comprised of a set of SEs that can interact with local as well as remote SEs. However, the remote communication among SEs and synchronization management across LPs are the two main issues related to the parallel and distributed executions of large-scale simulations. A number of migration techniques are used to mitigate the problem of high remote communication and lead to a reduction in remote communication among SEs. However, most of the existing migration strategies result in higher number of migration which lead to higher computation overhead. The second part of the thesis contributes Migration-based Adaptive Heuristic Algorithm (known as MAHA). MAHA provides dynamic partitioning of the simulation model based on runtime dynamics of the wireless network simulations. The proposed algorithm uses an intelligent heuristic for migration decision in order to reduce the number of migrations with an ultimate goal to achieve better Local Communication Ratio (LCR). The proposed algorithm is better in terms of achieving improved LCR with reduced number of migrations as compared to the existing technique(s). The third contribution of this thesis is related to implementation of adaptive SIM-Cumulus (A-SIM-Cumulus) that integrates Advanced Runtime Infrastructure System (ARTIS) and Generic Adaptive Interaction Architecture (GAIA) with the SIM-Cumulus framework. To obtain an insight into the performance gain, the simulation has been performed multiple times with different configurations and execution environments. The obtained results assert that the proposed algorithm significantly reduces the number of migrations and achieves a good speedup in terms of execution time for parallel (i.e., both multi-core and distributed) simulations on the A-SIM-Cumulus Cloud.