Dr Walayat Hussain is a professional academic, researcher and practitioner in computer science and information system with over 12 years of academic and industry experience. He is working as a Lecturer - sessional at the Faculty of Engineering and Information Technology, UTS. Walayat received his PhD from the University of Technology Sydney. He worked as a Lecturer and Assistant Professor at the BUITEMS for many years. Walayat’s research areas are business intelligence, cloud computing and usability engineering by focusing on providing an informed decision to different stakeholders. He has published in various top-ranked reputable ERA- A*, SJR-Q1, JCR-Q1 journals and conferences such as: The Computer Journal (Oxford University), Information Systems, Future Generation Computer Systems, IEEE Access, Computers & Industrial Engineering, Mobile Networks and Applications, Journal of Ambient Intelligence and Humanized Computing, Global Journal of Flexible Systems Management, FUZZ-IEEE, ICONIP etc. He has won multiple national and international research awards and recognitions. He is the recipient of 2016 FEIT HDR Publication Award, by the University of Technology Sydney Australia.
Track Chair of the “Service Oriented and Cloud” track at 14th International Conference on e-Business Engineering (ICEBE) November 4- 6, 2017 Shanghai, China.
Program Committee Member in 13th IEEE international conference on e-business engineering (ICEBE) 2016 November 2016.
Program Committee Member in 19th international conference on network-based information system (NBiS-2016) September 2016
Member of Board of Faculty, Faculty of Information and Communication Technology, BUITEMS University.
Member of Board of Studies, Department of Computer Science, BUITEMS University.
Reviewer at different international journals and conferences.
Member IEEE 2016- 2017
Can supervise: YES
Service Management in Cloud, HCI, Information System, Distributed Computing, Fog Computing, Design and Innovation
Subject Coordinator and Lecturer
Other Subjects Tutored / Lectured
Sohaib, O, Hussain, W, Asif, M, Ahmad, M & Mazzara, M 2020, 'A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption', IEEE Access, vol. 8, no. 1, pp. 13138-13150.View/Download from: Publisher's site
© 2019, Springer Science+Business Media, LLC, part of Springer Nature. One of the significant challenges for cloud providers is how to manage resources wisely and how to form a viable service level agreement (SLA) with consumers to avoid any violation or penalties. Some consumers make an agreement for a fixed amount of resources, these being the required resources that are needed to execute its business. Consumers may need additional resources on top of these fixed resources, known as– marginal resources that are only consumed and paid for in case of an increase in business demand. In such contracts, both parties agree on a pricing model in which a consumer pays upfront only for the fixed resources and pays for the marginal resources when they are used. A marginal resource allocation is a challenge for service provider particularly small- to medium-sized service providers as it can affect the usage of their resources and consequently their profits. This paper proposes a novel marginal resource allocation decision support model to assist cloud providers to manage the cloud SLAs before its execution, covering all possible scenarios, including whether a consumer is new or not, and whether the consumer requests the same or different marginal resources. The model relies on the capabilities of the user-based collaborative filtering method with an enhanced top-k nearest neighbor algorithm and a fuzzy logic system to make a decision. The proposed framework assists cloud providers manage their resources in an optimal way and avoid violations or penalties. Finally, the performance of the proposed model is shown through a cloud scenario which demonstrates that our proposed approach can assists cloud providers to manage their resources wisely to avoid violations.
Sohaib, O, Naderpour, M, Hussain, W & Martinez, L 2019, 'Cloud Computing Model Selection for E-commerce Enterprises Using a New 2-tuple Fuzzy Linguistic Decision-Making Method', Computers & Industrial Engineering, vol. 132, pp. 47-47.View/Download from: Publisher's site
Alkalbani, AM, Hussain, W & Kim, JY 2019, 'A Centralised Cloud Services Repository (CCSR) Framework for Optimal Cloud Service Advertisement Discovery From Heterogenous Web Portals', IEEE ACCESS, vol. 7, pp. 128213-128223.View/Download from: Publisher's site
Hussain, W & Sohaib, O 2019, 'Analysing Cloud QoS Prediction Approaches and its Control Parameters: Considering Overall Accuracy and Freshness of a Dataset', IEEE Access, vol. 7, pp. 82649-82671.View/Download from: Publisher's site
Manzoor, M, Hussain, W, Sohaib, O, Hussain, FK & Alkhalaf, S 2019, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 2, pp. 531-549.View/Download from: Publisher's site
For university websites to be successful and to increase the chance of converting a prospective student into a current student, it is necessary to increase the visibility and accessibility of all related content so that a student can achieve their desired task in the fastest possible time. The criteria for evaluating university websites are very vague and are usually unknown to most developers, which adversely impacts the user-experience of the students visiting such websites. To solve this problem, we devised a usability metric and examined the leading university websites to analyze whether these websites were able to meet the requirements of students. In this research, we applied qualitative and quantitative approaches by considering 300 students and evaluating 86 university websites (26 from Canada, 30 from the United States, and 30 from Europe) based on a six-attribute metric comprising navigation, organization, ease of use (simplicity), design (layout), communication and content. From the evaluation results, we find that the 88% of the students are satisfied with our proposed usability attributes, but that most universities fail to meet basic standards of usability as desired by the students. The findings also show that the usability evaluation score for each usability feature varies from country to country, such as for (1) multiple language support − 23% of the Canadian websites, 63% of the European websites and none of the USA websites has the feature; for (2) Scholarships/Funding/Financial Aid link − 24% of the Canadian websites, 80% of the European and the USA websites has the feature; for (3) admission link − 88% of the Canadian websites, 20% of the European websites and 90% of the USA websites has the feature. In addition, from the evaluative result we find that our proposed approach will not only increase the usability of academic websites but will also provide an easiest way to covert prospective student inquiries into enrollment opportunities.
Sohaib, O, Solanki, H, Dhaliwa, N, Hussain, W & Asif, M 2019, 'Integrating design thinking into extreme programming', Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 6, pp. 2485-2492.View/Download from: Publisher's site
Hussain, W & Hussain, F 2018, 'Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs', Future Generation Computer Systems.View/Download from: Publisher's site
In cloud computing, service level agreements (SLAs) are legal agreements between a service provider and consumer that contain a list of obligations and commitments which need to be satisfied by both parties during the transaction. From a service provider's perspective, a violation of such a commitment leads to penalties in terms of money and reputation and thus has to be effectively managed. In the literature, this problem has been studied under the domain of cloud service management. One aspect required to manage cloud services after the formation of SLAs is to predict the future Quality of Service (QoS) of cloud parameters to ascertain if they lead to violations. Various approaches in the literature perform this task using different prediction approaches however none of them study the accuracy of each. However, it is important to do this as the results of each prediction approach vary according to the pattern of the input data and selecting an incorrect choice of a prediction algorithm could lead to service violation and penalties. In this paper, we test and report the accuracy of time series and machine learning-based prediction approaches. In each category, we test many different techniques and rank them according to their order of accuracy in predicting future QoS. Our analysis helps the cloud service provider to choose an appropriate prediction approach (whether time series or machine learning based) and further to utilize the best method depending on input data patterns to obtain an accurate prediction result and better manage their SLAs to avoid violation penalties.
Hussain, W, Hussain, FK, Hussain, O, Bagia, R & Chang, E 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider's perspective', The Computer Journal, vol. 61, no. 9, pp. 1306-1322.View/Download from: Publisher's site
The constant increase in the growth of the cloud market creates new challenges for cloud service providers. One such challenge is the need to avoid possible service level agreement (SLA) violations and their consequences through good SLA management. Researchers have proposed various frameworks and have made significant advances in managing SLAs from the perspective of both cloud users and providers. However, none of these approaches guides the service provider on the necessary steps to take for SLA violation abatement; that is, the prediction of possible SLA violations, the process to follow when the system identifies the threat of SLA violation, and the recommended action to take to avoid SLA violation. In this paper, we approach this process of SLA violation detection and abatement from a risk management perspective. We propose a Risk Management-based Framework for SLA violation abatement (RMF-SLA) following the formation of an SLA which comprises SLA monitoring, violation prediction and decision recommendation. Through experiments, we validate and demonstrate the suitability of the proposed framework for assisting cloud providers to minimize possible service violations and penalties.
Hussain, W, Hussain, F, Hussain, O, Damiani, E & Chang, E 2017, 'Formulating and managing viable SLAs in Cloud Computing from a small to medium service provider's viewpoint: A state-of-the-art review', Information Systems, vol. 71, pp. 240-259.View/Download from: Publisher's site
In today's competitive world, service providers need to be customer-focused and proactive in their marketing strategies to create consumer awareness of their services. Cloud computing provides an open and ubiquitous computing feature in which a large random number of consumers can interact with providers and request services. In such an environment, there is a need for intelligent and efficient methods that increase confidence in the successful achievement of business requirements. One such method is the Service Level Agreement (SLA), which is comprised of service objectives, business terms, service relations, obligations and the possible action to be taken in the case of SLA violation. Most of the emphasis in the literature has, until now, been on the formation of meaningful SLAs by service consumers, through which their requirements will be met. However, in an increasingly competitive market based on the cloud environment, service providers too need a framework that will form a viable SLA, predict possible SLA violations before they occur, and generate early warning alarms that flag a potential lack of resources. This is because when a provider and a consumer commit to an SLA, the service provider is bound to reserve the agreed amount of resources for the entire period of that agreement – whether the consumer uses them or not. It is therefore very important for cloud providers to accurately predict the likely resource usage for a particular consumer and to formulate an appropriate SLA before finalizing an agreement. This problem is more important for a small to medium cloud service provider which has limited resources that must be utilized in the best possible way to generate maximum revenue. A viable SLA in cloud computing is one that intelligently helps the service provider to determine the amount of resources to offer to a requesting consumer, and there are number of studies on SLA management in the literature. The aim of this paper is two-fold. First, it pr...
Hussain, W, Hussain, OK, Hussain, FK & Khan MQ 2017, 'Usability Evaluation of English, Local and Plain Languages to Enhance On-Screen Text Readability: A Use Case of Pakistan', Global Journal of Flexible Systems Management, vol. 18, no. 1, pp. 33-49.View/Download from: Publisher's site
In today's digital world, information can very easily be accessed and digitally processed anywhere. Devices which are capable of processing digital data range from desktop computers to laptops, mobile phones, tablets, and personal digital assistants. For effective communication, text on a Web site should catch a reader's attention and should be easy to both read and understand. Different constraints are associated with on-screen text readability and legibility, such as font size, color, and style, as well as foreground and background color contrast, line spacing, text congestion, vocabulary and grammar, but text recognition and comprehension are two of the major problems. In this study, we address the issue of how to enhance text readability for non-native English speakers who have a basic understanding of English language and speak local languages which are not formally taught in academia. We select a use case in Pakistan, a country in which English and Urdu are the official languages, and a number of local languages are spoken in different parts of the country. Due to the wide variety of local languages, no Web site can support the many local language scripts or alphabets and display them on digital devices. When users with only a basic knowledge of English—particularly low-literate users from a local language background—try to read an English text, it is highly challenging for them to understand the meaning of words. In this study, we propose a plain language scheme in which a text is converted into a roman text. A roman text is formed by using the English alphabet and combining letters in such a way that when it is read, it sounds like a local language. To evaluate the applicability of our approach, we conducted a survey of users from different educational backgrounds, using a text written in English, local and plain language from users who speak particular local language. For each survey, we took three to four paragraphs in English on general interest topics...
Hussain, W, Hussain, FK, Hussain Omar K & Chang E 2016, 'Provider-Based Optimized Personalized Viable SLA (OPV-SLA) Framework to Prevent SLA Violation', The Computer Journal, vol. 59, no. 12, pp. 1760-1783.View/Download from: Publisher's site
Service level agreement (SLA) is an essential agreement formed between a consumer and a provider in business activities. The SLA defines the business terms, objectives, obligations and commitment of both parties to a business activity, and in cloud computing it also defines a consumer's request for both fixed and variable resources, due to the elastic and dynamic nature of the cloud-computing environment. Providers need to thoroughly analyze such variability when forming SLAs to ensure they commit to the agreements with consumers and at the same time make the best use of available resources and obtain maximum returns. They can achieve this by entering into viable SLAs with consumers. A consumer's profile becomes a key element in determining the consumer's reliability, as a consumer who has previous service violation history is more likely to violate future service agreements; hence, a provider can avoid forming SLAs with such consumers. In this paper, we propose a novel optimal SLA formation architecture from the provider's perspective, enabling the provider to consider a consumer's reliability in committing to the SLA. We classify existing consumers into three categories based on their reliability or trustworthiness value and use that knowledge to ascertain whether to accept a consumer request for resource allocation, and then to determine the extent of the allocation. Our proposed architecture helps the service provider to monitor the behavior of service consumers in the post-interaction time phase and to use that information to form viable SLAs in the pre-interaction time phase to minimize service violations and penalties.
Ahmed, A, Hussain, W & Kamran, A 2012, 'Logic Formulation and Evaluation of Academic Constraints', Australian journal of basic and applied sciences / International network for scientific information; INSInet, vol. 1, no. 1, pp. 26-39.
Hussain, W, Sohaib, O, Ahmed, A & Khan, MQ 2012, 'GEOGRAPHICAL INFORMATION SYSTEM BASED MODEL OF LAND SUITABILITY FOR GOOD YIELD OF RICE IN PRACHUAP KHIRI KHAN PROVINCE, THAILAND', Science, Technology and Development, vol. 31, no. 1, pp. 1-9.
Manzoor, M & Hussain, W 2012, 'A Web Usability Evaluation Model for Higher Education Providing Universities of Asia', Science, Technology and Development, vol. 31, no. 2, pp. 183-192.
Shumaila, H & Hussain, W 2012, 'Incorporating usability factor in readability formula to enhance web readability', Science, Technology and Development, vol. 31, no. 1, pp. 74-81.
Ahmed, A, Mubashir Hassan, M, Sohaib, O, Hussain, W & Qasim Khan, M 2011, 'An agent based architecture for cognitive spectrum management', Australian Journal of Basic and Applied Sciences, vol. 5, no. 12, pp. 682-689.
In the recent years, wireless technologies and devices have progressed dramatically that has augmented the demand for electromagnetic spectrum. Some research work showed that spectrum access and provision to user is not possible due to shortage of spectrum but federal communication commission refused to accept this theory and indicated that the spectrum is available since most of the frequency bands are underutilized. In order to allow the use of these frequency bands without interference, cognitive radio was proposed that characterizes the growing intelligence of radio systems can adapt to the radio environment, allowing opportunistic usage and sharing with the existing uses of spectrum. To take this concept a step further, we propose to use intelligent agent for spectrum management in the context of cognitive radio in this paper. In our proposed architecture, agents are embedded in the radio devices that coordinate their operations to benefit from network and avoid interference with the primary user. Agents carry a set of modules to gather information about the terminal status and the radio environment and act accordingly to the constraints of the user application.
Ali, A, Hussain, W & Ahmed, A 2011, 'E-Learning: Closing the Digital Gap Between Developed and Developing Countries', Australian Journal of Basic and Applied Sciences, vol. 5, no. 11, pp. 903-908.
With the increase in the growth of internet since 1990 WorldWide Web have gained a worldwide popularity.Web has become an ultimate source of information throughout the world. The web has been a source of information, knowledge, entertainment and carrying out different tasks such as online shopping, reservation etc. Every one finds ways to the web due to easiness of access and the bulk of information that has been available so ways to make web more attractive and easy to interact with has been an issue under discussion since its inception. In this paper we have focused how to make a webpage more usable for different age group in terms of readability. We have focused on eight eternal readability factors i.e. color contrast, white space, line spacing, font style, font size, text width, headings, graphics and animation. These eight factors are compared that how different age group people behave with the web applications by varying these eight factors. Based on literature review we have proposed an idea that how to make web more readable for people of different age groups e.g. children, teenagers and old /senior users.
Sohaib, O, Naderpour, M & Hussain, W 2018, 'SaaS E-Commerce Platforms Web Accessibility Evaluation', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil.View/Download from: Publisher's site
Ahmed Alghamdi, Hussain, W, Abdulaziz Alharthi & Abdullah Badar Almusheqah 2017, 'The Need of an Optimal QoS Repository and Assessment Framework in Forming a Trusted Relationship in Cloud: A Systematic Review', IEEE, 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), Institute of Electrical and Electronics Engineers, Shanghai, China.View/Download from: Publisher's site
Due to the cost-effectiveness and scalable features of the cloud the demand of its services is increasing every next day. Quality of Service (QOS) is one of the crucial factor in forming a viable Service Level Agreement (SLA) between a consumer and the provider that enable them to establish and maintain a trusted relationship with each other. SLA identifies and depicts the service requirements of the user and the level of service promised by provider. Availability of enormous service solutions is troublesome for cloud users in selecting the right service provider both in terms of price and the degree of promised services. On the other end a service provider need a centralized and reliable QoS repository and assessment framework that help them in offering an optimal amount of marginal resources to requested consumer. Although there are number of existing literatures that assist the interaction parties to achieve their desired goal in some way, however, there are still many gaps that need to be filled for establishing and maintaining a trusted relationship between them. In this paper we tried to identify all those gaps that is necessary for a trusted relationship between a service provider and service consumer. The aim of this research is to present an overview of the existing literature and compare them based on different criteria such as QoS integration, QoS repository, QoS filtering, trusted relationship and an SLA.
Hussain, W, Farookh Hussain & Omar Hussain 2016, 'Risk Management Framework to Avoid SLA Violation in Cloud from a Provider's Perspective', Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Springer International Publishing, Asan, Korea, pp. 233-241.View/Download from: Publisher's site
Managing risk is an important issue for a service provider to avoid SLA violation in any business. The elastic nature of cloud allows consumers to use a number of resources depending on their business needs. Therefore, it is crucial for service providers; particularly SMEs to first form viable SLAs and then manage them. When a provider and a consumer execute an agreed SLA, the next step is monitoring and, if a violation is predicted, appropriate action should be taken to manage that risk. In this paper we propose a Risk Management Framework to avoid SLA violation (RMF-SLA) that assists cloud service providers to manage the risk of service violation. Our framework uses a Fuzzy Inference System (FIS) and considers inputs such as the reliability of a consumer; the attitude towards risk of the provider; and the predicted trajectory of consumer behavior to calculate the amount of risk and the appropriate action to manage it. The framework will help small-to-medium sized service providers manage the risk of service violation in an optimal way.
Manzoor, M, Hussain, W & Manzoor, S 2017, 'An Analysis of Energy-Efficient Approaches Used for Virtual Machines and Data Centres', The Fourteenth IEEE International Conference on e-Business Engineering, International Conference on e-Business Engineering, IEEE, Shanghai, China, pp. 91-96.View/Download from: Publisher's site
The adoption of cloud computing has increased significantly, but this has given rise to the problem of efficient energy usage. The efficient use of energy by data centers and the use of virtual machines can help to minimize cost deadlines, resources, and utilization and execution times. There is a consequent need for different approaches that can reduce energy consumption whilst still achieving the multiple objectives of cloud computing. In this study, we examine a number of different approaches that have been discussed in the recent literature w.r.t. energy-efficient cloud workflow management, and we compare these approaches for energy-efficient usage of data centers and virtual machines. The results show that virtual machine scheduling and virtual machine allocation approaches are the most commonly used approaches that achieve an optimal energy consumption.
Sohaib, O, Lu, H & Hussain, W 2017, 'Internet of Things (IoT) in E-commerce: For People with Disabilities', 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Cambodia.View/Download from: Publisher's site
Hussain, W, Hussain, FK & Hussain, OK 2016, 'Allocating optimized resources in the cloud by a viable SLA model', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada.View/Download from: Publisher's site
Hussain, W, Hussain, FK & Hussain, OK 2016, 'QoS prediction methods to avoid SLA violation in post-interaction time phase', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 32-37.View/Download from: Publisher's site
Due to the dynamic nature of cloud computing it is very important for a small to medium scale service providers to optimally assign computing resources and apply accurate prediction methods that enable the best resource management. The choice of an ideal quality of service (QoS) prediction method is one of the key factors in business transactions that help a service provider manage the risk of SLA violations by taking appropriate and immediate action to reduce occurrence, or avoid operations that may cause risk. In this paper we analyze ten prediction methods, including neural network methods, stochastic methods and others to predict time series cloud data and compare their prediction accuracy over five time intervals. We use Cascade Forward Backpropagation, Elman Backpropagation, Generalized Regression, NARX, Simple Exponential Smoothing, Simple Moving Average, Weighted Moving Average, Extrapolation, Holt-Winters Double Exponential Smoothing and ARIMA and predict resource usage at 1, 2, 3, 4 and 5 hours into the future. We use Root Means Square Error and Mean Absolute Deviation as a benchmark for their prediction accuracy. From the prediction results we observed that the ARIMA method provides the most optimal prediction results for all time intervals.
Hussain, W, Hussain, FK & Omar Hussain 2016, 'SLA Management Framework to Avoid Violation in Cloud', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 309-316.View/Download from: Publisher's site
Cloud computing is an emerging technology that have a broad scope to offers a wide range of services to revolutionize the existing IT infrastructure. This internet based technology offers a services like – on demand service, shared resources, multitenant architecture, scalability, portability, elasticity and giving an illusion of having an infinite resource by a consumer through virtualization. Because of the elastic nature of a cloud it is very critical of a service provider specially for a small/medium cloud provider to form a viable SLA with a consumer to avoid any service violation. SLA is a key agreement that need to be intelligently form and monitor, and if there is a chance of service violation then a provider should be informed to take necessary remedial action to avoid violation. In this paper we propose our viable SLA management framework that comprise of two time phases – pre-interaction time phase and post-interaction time phase. Our viable SLA framework help a service provider in making a decision of a consumer request, offer the amount of resources to consumer, predict QoS parameters, monitor run time QoS parameters and take an appropriate action to mitigate risks when there is a variation between a predicted and an agreed QoS parameters.
Hussain, W, Hussain, FK & Hussain, OK 2015, 'Comparative Analysis of Consumer Profile-based Methods to Predict SLA Violation', 2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), IEEE International Conference on Fuzzy Systems, IEEE, Istanbul.View/Download from: Publisher's site
A Service Level Agreement (SLA) is a contract between a service provider and a consumer which specifies in detail the level of service expected from the service provider, obligations, commitment and objectives. In the cloud computing environment, both the cloud provider and the cloud consumer want to know of a likely service violation before the actual violation occurs and to adjust the scaling of the cloud resources appropriately. A consumer's previous resource usage profile is a key element in determining the possibility of service violation in the cloud computing environment, which has not been an area of research focus so far. In this paper, we analyze and compare QoS prediction by considering the consumer's previous resource usage profile in various conditions. From comparative analysis, we observe that by combining a consumer's previous resource usage profile history along with the previous resource usage profile history of its nearest neighbors, we obtain an optimal result.
Hussain, W, Hussain, FK & Hussain, OK 2015, 'Towards soft computing approaches for formulating viable service level agreements in cloud', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Istanbul, Turkey, pp. 639-646.View/Download from: Publisher's site
© Springer International Publishing Switzerland 2015. A service level agreement (SLA) is a legal document that binds consumers and providers together for the delivery of specific services for a certain period of time. Providers need a viable SLA to maintain successful relationships with consumers. A viable SLA, based on the previous profile of a consumer, will help a service provider determine whether to accept or reject a consumer's request and the amount of resources to offer them. In this paper we propose a softcomputing based approach to form a personalized and viable SLA. This process is carried out in the pre-interaction time phase. We build a Fuzzy Inference System (FIS) and consider a consumer's reliability value and contract duration as the input factors to determine the amount of resources to offer to the consumer. In addition to the Fuzzy Inference System, we tested various Neural Network-based methods for viable SLA formation and compared their prediction accuracy with the output of the FIS.
Hussain, W, Hussain, FK & Hussain, OK 2015, 'Transmitting scalable video streaming over wireless ad hoc networks', Proceedings - International Conference on Advanced Information Networking and Applications, AINA, International Conference on Advanced Information Networking and Applications (was ICOIN), IEEE, Gwangju, SOUTH KOREA, pp. 201-206.View/Download from: Publisher's site
© 2015 IEEE. Due to the rapid increase in the use of social networking websites and applications, the need to stream video over wireless networks has increased. There are a number of considerations when transmitting streaming video between the nodes connected through wireless networks, such as throughput, the size of the multimedia file, response time, delay, scalability and loss of data. The scalability of ad-hoc networks needs to be analyzed by considering various aspects, such as self-organization, security, routing flexibility, availability of bandwidth, data distribution, Quality of Service, throughput, response time and efficiency. In this paper, we discuss the existing approaches to multimedia routing and transmission over wireless ad-hoc networks by considering scalability. The study draws several conclusions and makes recommendations for future directions.
Hussain, W, Hussain, FK, Hussain, O & Chang, E 2015, 'Profile-based viable Service Level Agreement (SLA) Violation Prediction Model in the Cloud', Proceedings of the 2015 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, IEEE, Krakow, Poland, pp. 268-272.View/Download from: Publisher's site
The worldwide web (www) provides a platform that enables service providers to transcend barriers and engage with current or potential customers globally resulting in their economic growth and expanded business horizons -- thereby creating the internet economy. It enables customers to receive desired services in a cost effective way, but given the open and ubiquitous nature of the www, particularly in cloud computing, both service providers and service consumers need efficient approach that guarantee their business requirements will be met. Additionally, all stakeholders need an efficient system that predicts any violation before it occurs and recommends how to mitigate those violations to avoid any penalties. In this paper we propose an intelligent, profile-based SLA violation prediction model, from the provider's perspective. The model begins monitoring an SLA in the pre-interaction time phase, before finalizing the SLA. It intelligently predicts the consumer's likely resouce usage, by considering the consumer's reputation from its previous transaction history, and determines the level of required resources based on their reliability. The framework helps service providers: make decisions about whether to form SLAs, maximize profit, and avoid service violations in post-interaction time phase.
Hussain, W, Hussain, FK & Hussain, OK 2014, 'Maintaining Trust in Cloud Computing through SLA Monitoring', Proceedings of the 21st International Conference on Neural Information Processing, International Conference on Neural Information Processing, Springer Verlag, Kuching, Malaysia.View/Download from: Publisher's site
Hussain, W, Sohaib, O, Ahmed, A & Khattak, BS 2011, 'Comparative study of WCAG 2.0, IBM Web 5.1 and Section 508-1194.22 for Lower-Literate Web-Users to enhance Content Usability', FUTURE INFORMATION TECHNOLOGY, International Conference on Future Information Technology (ICFIT 2011), INT ASSOC COMPUTER SCIENCE & INFORMATION TECHNOLOGY PRESS-IACSIT PRESS, Singapore, SINGAPORE, pp. 149-153.