Comparative Analysis of the Controversies Among the Orientalist About the Epilepsy Imputed to the Holy Prophet S. A. W

The opponents of Islam and its prophet, Muhammad (p) including some of the orientalists, have always tried their best to distort the real image of Islam and malign the person of the holy Prophet. They have produced many baseless stories and notions about the teachings of Islam and the person and life of the holy Prophet. They accused the Prophet (p) of having compiled the Qur’an out of the teachings of Christianity, Judaism and the customs of pre-Muhammadan Arabs. They maintain that Muhammad (p) was caught by epilepsy and trances, out of which he pretended to having received the Quranic revelation. They mention the incident of ‘Shaq al-Sadr’ (splitting up of the bosom of the prophet in his childhood) and the shivering condition of the holy Prophet(p) while receiving the revelations as hallucination of epileptic fits. But the history, medical science, the logical reasoning and the impartial orientalists have absolutely rejected their biased allegations on the personality of the holy Prophet. They certified that Muhammad (p) had never suffered from any type of such ailment like epileptic fits, seizers, trances or the falling sickness. The author is this paper refutes the allegation of epilepsy to the prophet with the help of impartial studies of the orientalists and evidences from the medical science, thus, highlighted the superficiality of the investigations of some orientalists about Islam and Its Prophet.

Location Aware and Energy Efficient Virtual Machine Placement and Migration Approach for Cloud

Cloud computing is an on-demand, ubiquitous provisioning of resources. Individual users and many organizations rely on Cloud to support their infrastructure, platform, and applications. To meet these huge demands, Cloud providers have to build enormous Cloud Data Centers (CDCs).CDCs comprise of a lot of resources and these are given to users haphazardly. Arbitrary provisioning of resources on different hosts creates a problem of low usage of host machines. This leads to the problem of inefficient use of resources. More active numbers of hosts contribute to the increase in energy consumption. This will not only increase cloud providers operating cost but also emit a large amount of Carbon Dioxide. Different techniques are used to maximize resource utilization and minimization in energy consumption like VM consolidation, cooling, and scheduling. Server consolidation maximize resource usage and minimize the active number of Physical Machines (PMs) in DCs. Server consolidation includes hosts under-load detection, host overload detection, VM Selection, VM Migration, and VM placement. A number of techniques are proposed by researchers for VM placement which includes Multi-Objective VM placement, Best Fit Decreasing (BFD), Genetic Algorithm Based Approach (GABP), Glow-worn Swarm Optimization, Multi-Objective Ant Colony, and Family Genetic Algorithm (FGA). Most of the proposed techniques consider efficient resource utilization however ignored energy consumption. In some other techniques, energy consumption is considered but they do not consider SLA violation. The proposed technique considers all problems. This research contributes to an Efficient Adaptive Migration Algorithm (EAMA) for dynamic VM migration and placement. The proposed technique minimizes the energy consumption, active number of hosts, maximize the resource utilization and keep a balance in Service Level Agreement (SLA) requirements. For the performance evaluation of the proposed technique CloudSim toolkit is utilized Chapter 1 describes the introduction of the Cloud computing. We have also discussed the aim and objectives of the research. The brief summary of the following chapters is also discussed.