ڈاکٹر محمود احمد غازی
ایک اور افسوس ناک خبر ڈاکٹر محمود احمد غازی کی وفات کی ہے، علوم اسلامیہ اور جدید عصری تقاضوں کی نزاکت و اہمیت سے باخبری ان کی امتیازی خصوصیت تھی، ان کی اردو، عربی اور انگریزی کتابوں سے ان کی فکر و نظر نمایاں ہے، پاکستان میں وہ اعلیٰ علمی عہدوں پر فائز رہے لیکن ان کا تواضع و انکسار کبھی ان سے جدا نہیں ہوا، ۸۲ء میں ’’اسلام اور مستشرقین‘‘ سمینار میں تشریف لائے، اسلام آباد سے اعظم گڑھ تک اس راہ نوردی کو سید صباح الدین عبدالرحمن مرحوم نے دارالمصنفین سے والہانہ عشق سے تعبیر کیا تھا، اﷲ تعالیٰ مغفرت فرمائے۔ (جنوری ۲۰۱۰ء)
Education is the development of the different aspects of human being like psychological, social and physical development etc. It is not only the provision of information but it is for the sake of guidance of students to make them beneficial human beings. A teacher inculcates good habits in students and tries to reduce or terminate bad habits in them. Therefore, the responsibility of teacher is to guide the students about good and bad along with improving their academics. But while doing so, the teacher should avoid the ways which can be harmful for the students. Therefore he (the teacher) should know how to guide the students and stop them from wrong doings. At what time what technique, he should adopt that can give benefits to students? He should be aware of the student’s psychology, their age and their abilities. Sometimes punishment is very much necessary for students to make them realize not to commit anything like this again. At this critical moment what can help the student and teacher? The Holy Prophet Muhammad (SAW), being a perfect teacher guided the Umma in this aspect. He used many skills as a teacher and taught his followers, how to guide their children and pupils. Many times the prophets would use to advise his followers on anywrong doing and that is why none of the followers repeated the same mistake. It is very important to follow the teachings of the Holy Prophet in aspect. This research paper discusses the way of handling the students in different situations.
Cloud Computing is an evolving information technology development, deployment and delivery model consisting of a collection of interconnected and virtualized computers enabling real time delivery of services and solutions over the Internet. One of the critical concerns in this environment is the provisioning of optimal software and hardware resources to ensure a better quality of service (QoS). The classic cloud computing model where services are provided by a single vendor introduces numerous challenges. Cloud services may be interrupted due to unavailability, natural disaster or abrupt increase of the load and hence the system may not be able to provide services to thousands of customers who solely rely and pay for resources. One of the recently emerging areas in cloud computing is deployment of virtual machines across multiple clouds based on providers’ ranking. This involves benchmarking of different cloud providers, development of different techniques for selection of candidate providers, frameworks for ranking cloud providers and monitoring service level agreement (SLA) violations. Most of the existing literature is focused on employing centralized approaches for overall system ranking and monitoring, however, these approaches are not efficient for an environment where job migration and auto-scaling of virtual machines take place across cloud boundaries. The main objective of this research work is the development and evaluation of a QoS based ranking framework for IaaS computing resources across multiple clouds for resource negotiation, provisioning of physical resources, monitoring and ranking, based on job execution experience. We propose a broker enabled QoS ranking, negotiation and monitoring framework based on user level QoS requirements that determine users’ needs and utility for choosing a best-fit cloud provider among a list of candidate cloud providers. Simulation and real test-bed experimentation results suggest that our proposed framework not only gained higher profit margin but also attained more user satisfaction in terms of lower job rejection and failure rate.