Dynamically Partitioning Workflow over Federated Clouds For Optimising the Monetary Cost and Handling Run-Time Failures

Several real-world problems in domain of healthcare, large scale scientific simulations, and manufacturing are organised as workflow applications. Efficiently managing workflow applications on the Cloud computing data-centres is challenging due to the following problems: (i) they need to perform computation over sensitive data (e.g. Healthcare workflows) hence leading to additional security and legal risks especially considering public cloud environments and (ii) the dynamism of the cloud environment can lead to several run-time problems such as data loss and abnormal termination of workflow task due to failures of computing, storage, and network services. To tackle above challenges, this paper proposes a novel workflow management framework call DoFCF (Deploy on Federated Cloud Framework) that can dynamically partition scientific workflows across federated cloud (public/private) data-centres for minimising the financial cost, adhering to security requirements, while gracefully handling run-time failures. The framework is validated in cloud simulation tool (CloudSim) as well as in a realistic workflow-based cloud platform (e-Science Central). The results showed that our approach is practical and is successful in meeting users security requirements and reduces overall cost, and dynamically adapts to the run-time failures

VIVO: a Secure, Privacy-Preserving, and Real-Time Crowd-Sensing Framework for the Internet of Things

Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensed data for research is not simple. Issues related to device heterogeneity, security, and privacy have prevented the rise of crowd-sensing platforms for scientific data collection. For this reason, we implemented VIVO, an open framework for gathering crowd-sensed Big Data for IoT services, where security and privacy are managed within the framework. VIVO introduces the enrolled crowd-sensing model, which allows the deployment of multiple simultaneous experiments on the mobile phones of volunteers. The collected data can be accessed both at the end of the experiment, as in traditional testbeds, as well as in real-time, as required by many Big Data applications. We present here the VIVO architecture, highlighting its advantages over existing solutions, and four relevant real-world applications running on top of VIVO

Forensic Data Analytics for Anomaly Detection in Evolving Networks

In the prevailing convergence of traditional infrastructure-based deployment (i.e., Telco and industry operational networks) towards evolving deployments enabled by 5G and virtualization, there is a keen interest in elaborating effective security controls to protect these deployments in-depth. By considering key enabling technologies like 5G and virtualization, evolving networks are democratized, facilitating the establishment of point presences integrating different business models ranging from media, dynamic web content, gaming, and a plethora of IoT use cases. Despite the increasing services provided by evolving networks, many cybercrimes and attacks have been launched in evolving networks to perform malicious activities. Due to the limitations of traditional security artifacts (e.g., firewalls and intrusion detection systems), the research on digital forensic data analytics has attracted more attention. Digital forensic analytics enables people to derive detailed information and comprehensive conclusions from different perspectives of cybercrimes to assist in convicting criminals and preventing future crimes. This chapter presents a digital analytics framework for network anomaly detection, including multi-perspective feature engineering, unsupervised anomaly detection, and comprehensive result correction procedures. Experiments on real-world evolving network data show the effectiveness of the proposed forensic data analytics solution.Comment: Electronic version of an article published as [Book Series: World Scientific Series in Digital Forensics and Cybersecurity, Volume 2, Innovations in Digital Forensics, 2023, Pages 99-137] [DOI:10.1142/9789811273209_0004] \c{opyright} copyright World Scientific Publishing Company [https://doi.org/10.1142/9789811273209_0004

All aboard, destination: Seamless

A key enabler for e-Research in Australia is to give researchers seamless access to resources, including each other. Significant investments have been made, and are continuing to be made, in supplying the above resources. Convergence, a key driver of current developments in telecommunications, media and information technology industries, has brought about the rapid evolution of digital, information and communications technologies and has created an environment in which the paradigms of research have changed. Convergence is not just about the technology evolution. It is about services and about new ways of doing business and of interacting with society. It has created growing demand by researchers for services including seamless access to data held in universities, publicly funded research agencies, government agencies and industry; access to data generated by scientific facilities and access to computational capability. The emergence of new services and the development of existing services are expected to provide researchers with more opportunities. They may want access from anywhere anytime to any service, independently of the technology used, or the geographical point of such access within a trusted environment. At the same time the evolution of the capability and sophistication of scientific instruments and facilities has seen an explosion in the quantum of data produced by experimentation, and the complexity of analyses conducted through data sharing. Globalisation amplifies the international dimension of convergence. The global reach of the Internet has already shown a need for international solutions to a number of key issues such as security, intellectual property rights, privacy and interoperability. The effective re-use of research data on a national basis is the primary goal of the government and institutional investments into national data infrastructure. The investments will deliver access services; and outreach services for researchers and institutions that can enhance the effective use of data within a federated research data management system. The outcome will be the ability for all researchers to identify, locate, access and analyse any available research data, regardless of origin or scale, to interface with the outside world, within trusted environments for example the Australian Access Federation. The key facilitators for this are adequate physical resources, middleware, access to data including data collection and generation; data storage and the physical management of stored data; the evolution of standards to enable data to be used and interpreted; and access regimes to permit data to be accessible. The Australian Government, in partnership with research communities, state governments and key research agencies, is working towards coordinating the advancement of Australia’s national e-Research capabilities. The timely development of these capabilities, in an increasingly competitive international environment, will entail the careful coordination and bringing together of distributed initiatives and projects already undertaken by research communities, many institutions and jurisdictions. e-Research capabilities will also underpin the implementation of the Australian Government’s Research Quality Framework (RQF). A key enabler of the RQF will be the Accessibility Framework, which will set out the principles governing the need for improved access to the outcomes and outputs of publicly-funded research. Ongoing work through the NCRIS Platforms for Collaboration capability will determine the strategic and balanced investments in system-wide infrastructure and ICT enabled services to support Australian researchers. Only by a concerted, strongly-directed, intervention-based strategy and national cooperation will the critical mass be achieved to more fully enable Australian researchers with e-Research capabilities. By combining our resources, we will enhance the chances and opportunities for our researchers in the years to come

Meeting the design challenges of nano-CMOS electronics: an introduction to an upcoming EPSRC pilot project

The years of ‘happy scaling’ are over and the fundamental challenges that the semiconductor industry faces, at both technology and device level, will impinge deeply upon the design of future integrated circuits and systems. This paper provides an introduction to these challenges and gives an overview of the Grid infrastructure that will be developed as part of a recently funded EPSRC pilot project to address them, and we hope, which will revolutionise the electronics design industry

Towards business integration as a service 2.0 (BIaaS 2.0)

Cloud Computing Business Framework (CCBF) is a framework for designing and implementation of Could Computing solutions. This proposal focuses on how CCBF can help to address linkage in Cloud Computing implementations. This leads to the development of Business Integration as a Service 1.0 (BIaaS 1.0) allowing different services, roles and functionalities to work together in a linkage-oriented framework where the outcome of one service can be input to another, without the need to translate between domains or languages. BIaaS 2.0 aims to allow automation, enhanced security, advanced risk modelling and improved collaboration between processes in BIaaS 1.0. The benefits from adopting BIaaS 1.0 and developing BIaaS 2.0 are illustrated using a case study from the University of Southampton and several collaborators including IBM US. BIaaS 2.0 can work with mainstream technologies such as scientific workflows, and the proposal and demonstration of BIaaS 2.0 will be aimed to certainly benefit industry and academia. © 2011 IEEE

The OMII Software – Demonstrations and Comparisons between two different deployments for Client-Server Distributed Systems

This paper describes the key elements of the OMII software and the scenarios which OMII software can be deployed to achieve distributed computing in the UK e-Science Community, where two different deployments for Client-Server distributed systems are demonstrated. Scenarios and experiments for each deployment have been described, with its advantages and disadvantages compared and analyzed. We conclude that our first deployment is more relevant for system administrators or developers, and the second deployment is more suitable for users’ perspective which they can send and check job status for hundred job submissions