امام محمد اور ان کی قرآن فہمی

If any nation has right to be proud of its inheritance of concern and religion so followers of Islam deserve of its glorious inheritance of concern or concentration which is according to international investment enlists the unique and individual employment in the history of human. Its infrastructure, core concern, flexibility, exclusive law ideology, judiciary, common and uncommon solution contains unique supremacy. The base of such amazing and awesome international investment depends on fundamental legislative of Quran. Therefore, such accumulated ideology of all investment, although having opposition and distance owes the struggle and efforts of plenty of religious scholars (Fuqha) who proved surpassing sincerity for the services of knowledge. Imam Muhammad Bin Hassan Shebani the first of these (Fiqah People)eligious scholars who compressed (Islamic Fiqah) Islamic scholars teaching in such an educational way as none of other did it. He left us such a memorable priceless and valuable inheritance which crystal clear proof that he was having the thoughtful legislative mind and had profuse passion of gaining knowledge though he faced massive difficulties even spent his money to acquire knowledge. Besides such prestige and wisdom he was well-versed in Fiqah (deep thinking). His knowledge and services of Fiqah can be manipulated by his figurative and descriptive books which are real assets and fundamental ideology of followers of Imam Abu Abdullah Muhammad bin alhasan alshaibai recently in the explanation ofKitab ullah Imam Muhammad was not uncommon writer that is why he was as much famous but Imam Muhammad was supposed to be best scholar of it.

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.