Abdul Rahman ¹, Shahzad Sarfraz ¹, Umar Shoaib ¹, Ghulam Abbas ², Muhammad Atif Sattar ¹

Affiliations
1 Faculty of Computing and Information Technology, University of Gujrat, Gujrat - 50700, PK
2 Department of Chemical Engineering and Technology, University of Gujrat, Gujrat - 50700,, PK

Abstract

Objective: The purpose of this paper is to rectify the aspects that leads the acceptance of cloud based E-learning services and why it is plagued by security issues despite its numerous advantages and find out the possible solutions to the problems. So this study highlights the security threats with cloud based e-learning and the precaution acquired recently on those problems. Method: This paper used both theoretical and empirical studies. Empirical study is done by the information congregated using numerous cloud based e-learning solution vendors websites. On the other hand, theoretical study is made by examining several research articles linked to our theme areas. Based on this analysis it identify different security threats in cloud service delivery model through the object to recommend a solution in the procedure of security measures related to the cloud based e-learning. Projected practice certifies data availability and offers solution to secure essential data from the invaders. Findings: The project edupshot of this study is to highlight the vital security threats and concerns occupied on when executing the cloud computing for e-learning systems. We do attempt to exploit the security concerns that e-learners and the end-users of cloud based e-learning solutions desire to acquire it from the cloud based e-learning solution vendors. This study finds diverse security issues in cloud service by an object to advocate a resolution in the form of security dealings linked to the cloud based e-learning. Traditional E-Learning approaches are merged with cloud computing technology to give enormous benefits to the academic users but it compromises on security facets. This study of E-Learning advocate’s users to acquire the data in the cloud via a secured layer using the internet. Cloud based E-Learning is a way to lessen cost and density of data retrieving, which are handled by third party services. Improvements: The study does not explore negative aspects that may deject acceptance of cloud-based services. However, we have just discussed cloud computing and its service and have presented ways by which the present security issues in cloud computing can be resolved.

Keywords

Cloud Service, Data Availability, Measures, Security Risk, Solution, Threats.

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Abid Mahmood ¹, Umar Shoaib ¹, M. Shahzad Sarfraz ¹

Affiliations
1 Faculty of Computer Science and IT, University of Gujrat, PK

Abstract

Objectives: To provide a recommendation system for cloud services selection based on intelligent agents. Methods/ Statistical Analysis: There have been many assortments of research, frameworks, and systems that discussed in many kinds of literature for selection of most advantageous service to fulfill the requirements of consumers. QoS parameters in addition to cloud service related QoS parameters have been used, but an agent-based cloud computing system has been introduced now that facilitate the CSS for better usage and service for the consumer. In this study, we proposed a service selector system on computer trust merit of the cloud purveyor. In previous studies, the authors had used the QoS model to solve the problem of cloud service vendor selection in multidimensional technique but this was not practically approachable. But we implement the multi-agent system (MAS) approach where one agent is liable to intermingle with the client for unambiguous service. MAS have very supple and self-directed nature, due to this quality MAS is the very authentic approach for users. Findings: In this proposal a selection and recommendation methodology implemented using multi-agents paradigm, has been proposed that recommends the most aspirant service from similar grouped services. The experimental output confirms that the proposed methodology can effectively select an optimal required service for end users. Cloud computing system with the help of multi-agents offer better agent-based intelligent cloud solutions for complex computational tasks. Application/Improvements: Multi-agents can be employed as key components for the selection and recommendation of intelligent cloud applications, making cloud infrastructure more autonomous, adaptive, and flexible in resources management, services provisioning and in running large-scale applications.

Keywords

Cloud Service Selection, Intelligent Agents, MAS

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Imran Ali Rana ¹, Shafiq Aslam ¹, Muhammad Shahzad Sarfraz ², Umar Shoaib ²

Affiliations
1 Department of Information Technology, Faculty of Computing and Information Technology, University of Gujrat, Gujrat, Punjab, PK
2 Department of Computer Science, Faculty of Computing and Information Technology, University of Gujrat, Gujrat, Punjab

Abstract

Objectives: This paper brings to light different query optimization components and their optimizing functionalities which are helpful to improve the response time of query and the efficiency of distributed database. A cache based optimization is also analyzed to highlight the query optimization process. Methods: As data is the most valuable asset for any organization due to this they want to get access and use it efficiently and in a timely manner. To evaluate the efficiency of query optimization its different components e.g. search space, search strategy and cost model are evaluated with the help of examples, tables and diagrams. By comparing the different results, a cache based optimization technique is also evaluated. Findings: It is observed that in search space generated plans are equivalent in the sense they provide same results but their operation, implementation and performance is different. Different algorithms of search strategy are also examined to get the quicker and accurate results and notice that movement of search strategy is greatly depend upon join ordering and cost model. It is also observed that the cost model is helpful to select the best query execution plan but it depends upon the different parameters for example queue length, sever distance, server capacity and load. The latest cache based query optimization technique is also examined and noted that it is key to improve the response time of query as its computational cost is very low. It will be more helpful if it is placed at each site. Applications and Future Improvements: Currently cache based query optimization is applicable only for homogeneous distributed databases. In future this technique can also be implemented for heterogeneous type of databases.

Keywords

Distributed Database, Query Processing, Query Optimization, Search Space, Search Strategy, Cost Model, Centralized Database, Cache

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Muhammad Faheem Rana ¹, Syed Zagham Naseem ¹, Muhammad Shahzad Sarfraz ¹, Umar Shoaib ¹

Affiliations
1 Hafiz Hayyat Campus, University of Gujrat, Jalalpur Jattan Road, Gujrat, PK

Abstract

Objectives: Currently different models with different dimensions of Automated Teller Machine installed in Pakistan. This research finds problems in existing ATM’s dimensions and their suitability will be evaluated by applying ergonomics principles on anthropometric measurement of Pakistan population. Methods/Statistical Analysis: We measured the different dimensions of ATMs used in Pakistan and anthropometric measurements of Pakistani people. We will consider the neutral and awkward postures of elbow, shoulder, wrist, spine, neck and back. The last step is to compare the ATM machine’s dimensions used in Pakistan and anthropometric measurement of people of Pakistan, apply ergonomic rules in order to reduce the gap between ATM users of Pakistan and ATM machines used in Pakistan. Findings: By including all dimensions of ATM’s, anthropometric measurements, calculating mean and standard deviation we have come to know that there is a huge difference between dimensions of ATM’s currently used in Pakistan and dimensions that are recommended in this paper. This difference leads us to make a standard that is suitable especially for people of Pakistan. Application: It is strongly recommended to adopt this standard which is based on anthropometric measurements of Pakistani people.

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Nadeem Ahmad Naz ¹, Umar Shoaib ¹, M. Shahzad Sarfraz ¹

Affiliations
1 Department of Computer Science, University of Gujrat, PK

Abstract

Objectives: To find one of the best data mining techniques in telecommunication especially in customer churn prediction. Methods/Statistical Analysis: This paper presents a review of customer’s churn prediction in the telecommunication. The study shows a large number of attributes that are used to put into practice to develop customer churn prediction model by the large number of reviewer. These attributes are segmentation, account info, billing info, call dialup types, line-info, and payment info, and complain info, service provider info, and services info. In this study appropriate modeling techniques such as LR, NNM, DT, FL, CMC, SVM and DME are discussed for the churning purpose. Findings: The Review shows that to find customer churn prediction depends on the objectives of decision maker’s e.g. DT and SVM with a low ratio used, if interested in the true churn rate and false churn rate. The Logistic Regressions might be used if looking for the churn probability. DMEL modeling technique is impractical and ineffective for churn prediction on a large dataset with high dimension. Application/Improvements: The Technique proposed in this paper will overcome discussed issues and it will be applied on those customers who want to leave in near future and predict them based on some parameters.

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