Design of performance-aware resilient wireless NoC architectures

Opoku Agyeman, M., Wen, Z., Kanakis, T., Tong, K.-F. and Mak, T. (2016) Towards the practical design of performance-aware resilient wireless NoC architectures. In: 7th International Conference on Cloud Computing, Data Science & Engineering. USA: IEEE. 


Abstract
Recently, an improved surface wave-enabled communication fabric has been proposed to solve the reliability issues of emerging hybrid wired-wireless Network-on-Chip (WiNoC) architectures. Thus, providing a promising solution to the performance and scalability demands of the fast-paced technological growth towards exascale and Big-Data processing on future System-on-Chip (SoC) design. However, WiNoCs trade-off optimized performance for cost by restricting the number of area and power hungry wireless nodes. Consequently, in this paper, we propose a low-latency adaptive router with a low-complexity single-cycle bypassing mechanism to alleviate the performance degradation due to the slow wired routers in such emerging hyhbrid NoCs. The proposed router is able to redistribute traffic in the network to alleviate average packet latency at both low and high traffic conditions. As a second contribution the paper presents an experimental evaluation of a practically implemented surface wave communication fabric. By reducing the latency between the wired nodes and wireless nodes the proposed router can improve performance efficiency in terms of average packet delay by an average of 50% in WiNoCs.


All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

MSc Computing Projects 2013

A sample of the MSc Computing projects completed in 2013 at the School of Science and Technology, University of Northampton.

Investigation and Development of a Networking and Cyber Security Lab

Fungai P. Mundoma

For more details go to : http://computingnorthampton.blogspot.co.uk/2013/10/msc-student-work-investigation-and.html

MOBILE NETWORK SYSTEM FOR DISASTER MANAGEMENT

OLATUNDE AYANLEYE 

For more details go to : http://computingnorthampton.blogspot.co.uk/2013/10/msc-student-work-mobile-network-system.html

Chatbot: an innovative approach towards learning and teaching process in today’s education system.

Poonam Bhatia

For more details go to: http://computingnorthampton.blogspot.co.uk/2013/10/msc-student-work-chatbot-innovative.html

Cloud Computing Infrastructure
Hang Xu

For more details go to: http://computingnorthampton.blogspot.co.uk/2013/01/msc-work-implementation-of-openstack.html

Interactive TV applied to internet broadcast media 

James Smith

For more information go to: http://computingnorthampton.blogspot.co.uk/2013/01/msc-dissertation-interactive-tv.html

The University of Northampton's, Department of Computing and Immersive Technologies offers five courses within the MSc Computing postgraduate provision (shown below) all available either part-time or full-time. 

• MSc Computing
• MSc Computing (Internet Technology and Security)
• MSc Computing (Computer Networks Engineering)
• MSc Computing (Software Engineering)
• MSc Computing (Immersive Technologies)

Dr James Xue: distributed and cloud computing

Research Interests

• Enterprise system performance modelling and evaluation, resource management
• Distributed computing, cluster/grid computing, cloud computing
• Object databases, distributed databases, mobile databases, ORM technologies, etc

Recent Publications

J.W.J.Xue and A. Yahya. (2012) “Critical Analysis of ECM Applications in the Clouds: a case study”, International Journal of Computer Science and  Information Technology (IJCSIT) Vol.4 No. 3, June 2012. ISBN:0795-4660.

M. Al-Ghamdi, A.P. Chester, L. He, S.A. Jarvis, J.W.J. Xue. (2011) “Dynamic Active Window Management: A Method for Improving Revenue Generation in Dynamic Enterprise Systems”. 11th IEEE International Conference on Scalable Computing and Communication (SCALCOM’11). Aug. 31st– Sep. 2nd, 2011. Pafos, Cybrus.

Al-Sherbaz A, Minai A, Xue J, Dravid R (2011) "An Embedded Pedagogic Model for Computer Forensics within an
Undergraduate Programme" 7th Annual Teaching Computer Forensics Workshop, University of Sunderland 10th November 2011




J. W. J. Xue and Stephen A. Jarvis "QoS-aware Service Selection" to the book " Agent-based Service-Oriented Computing". In series Advanced Information and Knowledge Processing. Springer 2010. ISBN: 978-1-84996-040-3

J. W. J. Xue, A. P. Chester, L. He and S. A. Jarvis. Model-driven Server Allocation in Distributed Enterprise Systems. Communications of SIWN. Vol. 6, pp. 42-50. 2009.

James W.J. Xue, Adam P. Chester, Ligang He and Stephen A. Jarvis, "Model-driven Server Allocation in Distributed Enterprise Systems", The 3rd International Conference on Adaptive Business Information Systems (ABIS 2009). Leipzig, Germany, 23-25 March 2009

M.Al- Ghamdi, A.P. Chester, J.W.J. Xue and S.A. Jarvis. (2009) “The Effect of Server Reallocation Time in Dynamic Resource Allocation”. UK Performance Engineering Workshop (UKPEW’09).July 6th, 2009. Leeds, UK.

Adam P. Chester, James W.J. Xue, and Stephen A. Jarvis, "A System for Dynamic Server Allocation in Application Server Clusters", IEEE Symposium on Parallel and Distributed Processing with Applications (ISPA'08). Sydney, Australia. 10th-12th Dec, 2008.

A. P. Chester, J. W. J. Xue, L. He and S. A. Jarvis. A System for Dynamic Server Allocation in Application Server Clusters. The 24th UK Performance Engineering Workshop. Imperial College London. 03-04 July 2008.

J.W.J. Xue, A.P. Chester, L. He and S.A. Jarvis. (2008) “Dynamic Resource Allocation in Enterprise Systems”. 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS’08). December, 8th-10th. Melbourne, Australia.

Contact: James.xue@northampton.ac.uk
Profile: http://www.northampton.ac.uk/people/james.xue


Related

• Dr Ali Al-Sherbaz: Mobile
• Dr Scott Turner- robots, genetic algorithms and pr...
• Dr James Xue: distributed and cloud computing
• Dr Yinghui Zhang: haptics and virtual reality
• Gary Hill: solving problems
• Dr Suraj Ajit: Recent Publication

Cloud Computing Infrastructure

Recent MSc Computing (Internet Technology and Security) dissertation work within the School of Science and Technology, University of Northampton, UK by  Hang Xu.

Abstract

Cloud Computing (the Cloud) is getting hot in recent years as well as the Cloud Computing Infrastructures which can be used to the deployment of the Cloud infrastructure for enterprises, communities, or individuals. OpenStack is one of the major cloud computing infrastructure and services providers which have been developed by NASA and Rackspace. Another term, Energy-Efficiency is being considered as a more and more important cloud due to the effect that the IT technologies have made to the environment. Servers, cooling systems and so on are generating a great number of CO₂ emissions to the global. Therefore, the research and technology on approaches about reducing the CO₂ emissions is getting more and more important to the entire IT industry. In this paper, the relationship between the Cloud and Energy-Efficiency will be discussed along with the achievement that has been made to reduce CO₂ emissions in recent years. Then, models for deploying OpenStack will be created and the OpenStack cloud computing platform will be implemented to the models. In the end, the author is going to discuss the achievement of this paper.

Supervisor: Dr James Xue

Computing Courses

BSc and HND Computing Provision (click on the links below for more details of the courses)

• BEng/MEng Computing (Computer Networks Engineering)
• BEng/MEng Computing (Computer Systems Engineering) 

• BSc (Hons) Computing (also available part-time)
• BSc (Hons) Computing (Graphics and Visualisation)
• BSc (Hons) Computing (Internet Technology and Security)
• BSc (Hons) Computing (Mobile Computing)
• BSc (Hons) Computing (Software Engineering)
• BSc (Hons) Computing - One Year Top-Up 
• BSc  Computer Games Development
• HND Computing (Compute​r Net​works Engineering)
• HND Computing (Computer Systems Engineering)
• HND Computing (Graphics and Visualisation)
• HND Computing (Internet Tech​nolog​y and Security)
• HND Computing (Mobile Computing)
• HND Computing (Software Engine​ering) 
• HND Com​puting

The University of Northampton's, Department of Computing and Immersive Technologies offers five courses within the MSc Computing postgraduate provision (shown below) all available either part-time or full-time. 

• MSc Computing
• MSc Computing (Internet Technology and Security)
• MSc Computing (Computer Networks Engineering)
• MSc Computing (Software Engineering)
• MSc Computing (Immersive Technologies)

The contents are the opinion of the author(s) and not necessarily the view of the University of Northampton.

Critical Analysis of ECM Applications in the Clouds

Recent paper by Dr James Xue in International Journal of Computer Science and Information Technology (IJCSIT) Vol 4, No 3, June 2012

paper can be found at: http://airccse.org/journal/jcsit/0612csit09.pdf

CRITICAL ANALYSIS OF ECM APPLICATIONS IN THE CLOUDS: A CASE STUDY

James Xue (Department of Computing, University of Northampton, UK james.xue@northampton.ac.uk) 

Amjad Yahya (PricewaterhouseCoopers, Saudi Arabia amjadyahya@yahoo.com)

ABSTRACT
Enterprise Content Management (ECM) has become one of the most important strategies in enterprise to manage enterprise contents over their lifecycle. ECM solutions are commonly used in many areas such as document management, web content management, record management, digital asset management, etc. Key features of ECM solutions are capturing, indexing, preserving and retrieving of digital information. In our work, an Electronic Dissertation and Thesis (EDT) application has been chosen as a typical ECM application for the case study and has been developed using state-of-the-art technologies. This paper considers the key characteristics of EDT applications and critically analyses various cloud options for deployment of such an application to maximise availability, scalability and data consistency. This paper also addresses the limitation of some existing cloud services that are related to query documents, and provided a workaround solution for abstract queries and parallel execution of complex queries.