© 2019 by SCITEPRESS - Science and Technology Publications, Lda. Service computing has emerged to address the notion of delivering software as a service and Service-Oriented Architecture emerged as a design method supporting well defined design principles of loose coupling, interface design, autonomic computing, seamless integration, and publish/subscribe paradigm. Integrated big data applications with IoT, Fog, and Cloud Computing grow exponentially: businesses as well as the speed of the data and its storage. Therefore, it is time to consider systematic and engineering approach to developing and deploying big data services as the data-driven applications and devices increasing rapidly. This paper proposes a software engineering framework and a reference architecture which is SOA based for big data applications' development. This paper also concludes with a simulation of a complex big data Facebook application with real-time streaming using part of the requirements engineering aspect of the SOSE4BD framework with BPMN as a tool for requirement modelling and simulation to study the characteristics before big data service design, development, and deployment. The simulation results demonstrated the efficiency and effectiveness of developing big data applications using the reference architecture framework for big data.

Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. This paper presents a contribution to the fields of Big Data Analytics and Software Architecture, namely an emerging and unifying architectural pattern for big data processing in the cloud from a cloud consumer’s perspective. PaaS-BDP (Platform-as-a-Service for Big Data) is an architectural pattern based on resource pooling and the use of a unified programming model for building big data processing pipelines capable of processing both batch and stream data. It uses container cluster technology on a PaaS service model to overcome common shortfalls of current big data solutions offered by major cloud providers such as low portability, lack of interoperability and the risk of vendor lock-in.

This paper discusses effective teaching techniques for online courses. We present and summarise our experience of online teaching techniques that are currently adopted in our teaching. Our approach consists of five main principles: online resources, course structure, course participation technique, student-centred interaction for learning, and online assessments. We believe student-centred interactions will enhance their learning experience much more effective when studying online courses. However, there are difficulties for online professors to facilitate such interactions and to make assessments. We propose a number of key teaching strategies to support student learning by using online technology. They are based on guidelines on effective teaching techniques, content preparation & management, course structuring, existing standards, assessment, and evaluation.

Offering real-time data security for petabytes of data is important for cloud computing. A recent survey on cloud security states that the security of users' data has the highest priority as well as concern. We believe this can only be able to achieve with an approach that is systematic, adoptable and well-structured. Therefore, this paper has developed a framework known as Cloud Computing Adoption Framework (CCAF) which has been customized for securing cloud data. This paper explains the overview, rationale and components in the CCAF to protect data security. CCAF is illustrated by the system design based on the requirements and the implementation demonstrated by the CCAF multi-layered security. Since our Data Center has 10 petabytes of data, there is a huge task to provide real-time protection and quarantine. We use Business Process Modeling Notation (BPMN) to simulate how data is in use. The use of BPMN simulation allows us to evaluate the chosen security performances before actual implementation. Results show that the time to take control of security breach can take between 50 and 125 hours. This means that additional security is required to ensure all data is well-protected in the crucial 125 hours. This paper has also demonstrated that CCAF multi-layered security can protect data in real-time and it has three layers of security: 1) firewall and access control; 2) identity management and intrusion prevention and 3) convergent encryption. To validate CCAF, this paper has undertaken two sets of ethical-hacking experiments involved with penetration testing with 10,000 trojans and viruses. The CCAF multi-layered security can block 9,919 viruses and trojans which can be destroyed in seconds and the remaining ones can be quarantined or isolated. The experiments show although the percentage of blocking can decrease for continuous injection of viruses and trojans, 97.43 percent of them can be quarantined. Our CCAF multi-layered security has an average of 20 percent better performance than the single-layered approach which could only block 7,438 viruses and trojans. CCAF can be more effective when combined with BPMN simulation to evaluate security process and penetrating testing results.

Enterprise security is essential to achieve global information security in business and organizations. Enterprise Cloud computing is a new paradigm for that enterprise where businesses need to be secured. Enterprise Cloud computing has established its businesses and software as a service paradigm is increasing its demand for more services. However, this new trend needs to be more systematic with respect to Enterprise Cloud security. Enterprise Cloud security is the key factor in sustaining Enterprise Cloud technology by building-in trust. For example, current challenges that are witnessed today with cyber security and application security flaws are important lessons to be learned. It also has provided best practices that can be adapted. Similarly, as the demand for Enterprise Cloud services increases and so increased importance sought for security and privacy. This paper presents recommendations for enterprise security to analyze and model Enterprise Cloud organizational security of the Enterprise Cloud and its data. In particular, Enterprise Cloud data and Enterprise Cloud storage technologies have become more commonly used in organization that adopt Cloud Computing. Therefore, building trust for Enterprise Cloud users should be the one of the main focuses of Enterprise Cloud computing research.

Reuse of software is an excellent way for saving costs and development efforts. Design for large-scale reuse addresses the need for higher productivity in a domain-specific (telecommunication) product line. This paper presents our approach to design for large-scale reuse. The large-scale granularity of reusable components includes subsystems, building blocks (a collection of object classes) and architectures. The main principles are configurability, conceptual integrity, domain-specific architectures (for a product family), design for reuse, reuse guidelines and rules. We have achieved more than 70% reuse within one product family and more than 40% on a different product family.