Zahir Tari

Professor Zahir Tari

Research Director, RMIT Centre of Cyber Security Research and Innovation (CCSRI)

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STEM | School of Computing Technologies

Centre of Cyber Security Research and Innovation (CCSRI)

Space Industry Centre

Sir Lawrence Wackett Defence and Aerospace Centre

Email: zahir.tari@rmit.edu.au

Phone: +61 9925 3782

Campus: Melbourne City

Programs

 Information Technology

More information

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Contact details

STEM | School of Computing Technologies

Centre of Cyber Security Research and Innovation (CCSRI)

Space Industry Centre

Sir Lawrence Wackett Defence and Aerospace Centre

Email: zahir.tari@rmit.edu.au

Phone: +61 9925 3782

Campus: Melbourne City

Programs

 Information Technology

More information

iD icon - ORCID

- Google Scholar

- LinkedIn

Prof Zahir Tari is one of the international leading experts in the some of the core areas of Computer Science, including performance/scalability/reliability (of large-scale systems) and cyber-security (of critical systems, such as SCADA/Smart Grid).

Overview

As the Research Director of the RMIT Centre of Cyber Security Research and Innovation (CCSRI), Prof Zahir Tari is leading major Research and Development (R&D) activities in the cyber security areas across RMIT colleges (i.e., STEM, COBOL and Design). He works closely with various RMIT experienced and young researchers to tackle the ever-complex cyber-security challenges from technical, human and organisational perspectives.

Specifically, Prof Tari is considered as a leader in integrating contextual preferences from the perspective of humans and systems within cybersecurity concepts and methods. Over the past two decades, he developed ground-breaking solutions that addressed the core challenges of anomaly detection and survivability of large-scale systems and their impact on the end-users. Some of these innovations were commercialised through either partnership or research translation (e.g., MetaCDN). Prof Tari also secured over $13M AUD in funding, including 2 ARC LIEF, 17 ARC DP/LP, and one large grant from the Department of Industry, Innovation and Science. He supervised to completion of 31 PhD students and mentored 6 postdoctoral fellows and 3 research assistants. At this stage, Prof Tari published a total of 250 papers (i.e., 99 journals and 151 conferences), with an h-index of 42 and 8,000 citations.

In the past, Prof Tari has been an Associate Dean (Discipline Head) of the discipline Distributed Systems and Networking (DSN) (now called CSS -- Cloud, System and Security) for over 14 years, managing a large team of academics that contributed to excellence in teaching and research in some of the core areas of Computer Science (i.e., Networking, Security, Cloud). The discipline was ranked 4 in the 2018 ERA ranking in 0804 Distributed Systems. The discipline’s members have also been successfully in working closely with various IT industries, and have also successfully been awarded several funding, including ARC Linkage and Discovery.

Finally, Prof Tari has been recently appointed as an ARC College of Expert (CoE) member, serving for the period of 2022-2024.

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Industry experience

Prof Tari has been closely working with many local IT industries and international ones (e.g., Siemens/Germany) in various aspects related to Cloud/Edge and Cybersecurity technologies. He successfully led over twelve substantial collaborative projects with local IT industries through the ARC Likage scheme, and some of the foundamental work carried out in these projects led to product commercialisation (e.g. MetaCDN). More recently, Prof Tari expanded hisindustry collaboration to much larger entreprise and successfully secured larger funds (i.e. >$1M each) to tackle new challenges of Blockchain systems with regards security, performance, and scalability.

He also has the following qualifications:

  • PhD in Computer Science, University Grenoble(France), December 1999
  • Master in Operational Research, University of Grenoble (France), June 1985
  • Bachelor/Honours in Operational Research, USTHB (Algeria), June 1984
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Research

Prof Tari focuses on the design of innovative solutions related to large-scale systems; such Cloud/IoT/Edge and critical systems (e.g. SCADA, Smart Grid). He particularly interested investigating both analytical/mathematical and computational models that can address the complex issues related to robustness of such large-scale systems from security, performance, and reliability perspectives.

Research keywords

General areas: Cloud, Edge, IoT

Specific topics: Cybersecurity, Performance, Reliability

Research output summary

The research impact of Prof Tari’s research outputs in large-scale systems cannot only be measured by the quality and quantity of publications, but also in citation metrics. For example, as of 2021, he has an h-index=41 and h10-index=166. I have 13 papers with >100 citations and am currently receiving over 700 citations per year. The citations for my publications are on the way-up, particularly reflecting the quality, quantity and relevance of the publications.

Prof Tari received over $11M in funding from the ARC (Australian Research Council) and local/international companies (e.g., Siemens/Germany). Some of the funded worked were commercialised as industry large-scale products (e.g,. MetaCDN as is a pioneering “4th generation” ContentDelivery Network system).

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Supervisor interest areas

  • Cybersecurity
  • Performance
  • Scalability
  • Reliability

Supervisor projects

  • Effective Countering cyber threats over Smart-Grid Infrastructures
    Smart-grids are the cornerstones of future energy infrastructure. Today's ageing power grids have had their inadequacies exposed by challenges such as: the rising cost of fuels, need for lower greenhouse emissions, and the rise of renewable energy. Tomorrow’s Smart Grids will incorporate increased sensing, communication, and distributed control systems to accommodate renewable generation, EV (Electric Vehicle) loads, peak demand reduction and energy loss minimization. Of the various impediments affecting smart-grids, security is the foremost concern for all stake holders, estimating economic losses at $6B annually. This project aims to research a distributed and multi-granular framework for effective data security that is achieved through anomaly detection over smart-grid sensing systems. This will evaluate cyber threats from a data centric point of view for effective protection, and the framework will be compatible with and cater to the dynamic and non-homogeneous data typically present in multi-faceted smart-grid environments.
  • Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malware
    Data exfiltration is the unauthorised leakage of data from computers by sophisticated malware and malicious insiders. Data exfiltration is a serious problem since it may have catastrophic effect on businesses, governments as well as individuals if such exfiltration involves sensitive data. Examples include exfiltration of data involving business inventions, national intelligence, classified research, individual’s credit card and biometric profile. Specifically, data exfiltration has resulted in huge economic losses as well as unprecedented breaches of national security. A study by the Ponemon Institute reported that the average per-incident cost of reported data leakage by businesses was $14 million, and the number of reported data breaches surpassed all previous years. The aim of this project is to develop solutions to detect sensitive data exfiltration attempts by malware, as well as human users, and block those attempts without affecting legitimate users’ normal usage of computers.
  • Low-Latency High-Throughput Computational Models for Heavily Data-Driven
    The need to process a huge volume of data during in a small amount of time is dramatically increasing especially as the size of the data moves into Exabyte in the near. While use of such applications was previously confined to the finance sector, it is becoming now prevalent in almost every industry where analytical processing over massive data sets can solve business problems. To meet such low-latency requirements of data mining and machine learning applications, datacentre providers must expand the computing capacity of the underlying infrastructure by exploiting graphics processing units (GPU) and Field Programmable Gate Arrays (FPGAs) as new hardware accelerators, the so-called heterogeneous datacentres. However, there is no mechanism that can appropriately project the complex characteristics of modern applications emerging in enterprise/scientific domains into the available computing capacity of a system with hundreds or thousands of heterogeneous computers. Additionally, using existing resources allocation solutions in heterogeneous datacentres result in significant resource wastage. The general aim of this project is to investigate innovative solutions/methods to control and to make use of the capabilities of the new hardware accelerators in a heterogeneous computing systems to substantially enhance the resource efficiency when running data-driven applications.

Feature publications

A Taxonomy of Supervised learning for IDSs in SCADA Environments

ACM Computing Surveys, 53(2):40:1-40:37

J. Suaboot, A. Alharthi, Z. Tari, J. Grundy, A.N. Mahmood, A. Almalawi, A. Zomaya and K. Drira. (2020).

Correlated Differential Privacy: Feature Selection in Machine Learning

IEEE Transactions on Industrial Informatics (TII), 16(3):211-2124

T. Zhang, T. Zhu, P. Xiong, H. Hoo, Z. Tari and W. Zhou: Correlated Differential Privacy. (2020).

Sub-curve HMM - A malware detection approach based on partial analysis of API call sequences

Elsevier Journal on Computing Security, 92:101773

Suaboot, Z. Tari, A.N. Mahmood, A. Y. Zomaya, and W. Li. (2020).

Key publications by year

Expand all sections

  • Almalawi, Z. Tari, A. Fahad and X. Yi: SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention. Wiley, Dec. 2020. ISBN-13: 978-1119606031.
  • Alabdulatif, I. Khalil, A.Y. Zomaya, Z. Tari, and Z. Yi: Fully Homomorphic based Privacy-Preserving Distributed Expectation Maximization on Cloud. IEEE Transactions Parallel Distributed Systems, 31(11): 2668-2681, 2020.
  • N. Sohrabi and Z. Tari: ZyConChain: A Scalable Blockchain for General Applications. IEEE Access, 8:158893-158910, 2020.
  • A. Alsaedi, N. Moustafa, Z. Tari, A.N. Mahmood, and A. Anwar: TON_IoT Telemetry Dataset - A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems. IEEE Access, 8:165130-165150, 2020.
  • J. Suaboot, Z. Tari, A.N. Mahmood, A. Y. Zomaya, and W. Li: Sub-curve HMM - A malware detection approach based on partial analysis of API call sequences. Elsevier Journal on Computing Security, 92:101773, 2020.
  • A. Alabdulatif, I. Khalil, A.Y. Zomaya, Z. Tari, and Z. Yi: Fully Homomorphic based Privacy-Preserving Distributed Expectation Maximization on Cloud. IEEE Transactions Parallel Distributed Systems, 31(11): 2668-2681, 2020.

  • A. Fahad, A. Alwalawi, Z. Tari, K. Alharthi, F.S. Al-Qahtani and M. Cheriet: SemTra – A semi-Supervised approach for Traffic Flow Labeling with Minimal Human Effort. Pattern Recognition, 91:1-12, 2019.
  • X. Yi, Z. Tari, F. Hao, L. Chen, J.K. Liu, X. Yang, K-Y. Lam, I. Khalil and A.Y. Zomaya: Efficient Threshold Password-Authenticated Secret Sharing Protocols for Cloud Computing. Elsevier Journal on Distributed Computing (JPDC), 128:57-70, 2019.

  • W. Lei, T. Tan, F.C. Delicato, P.F. Pires, Z. Tari, S.U. Khan and A.Y. Zomaya: Enabling Sustainable Edge Computing with Renewable Energy Resources. IEE Communications Magazine, 56(5):94-101, 2018.
  • M. Alhanahnah, P. Bertok, Z. Tari, and S. Alouneh: Context-Aware Multifaceted Trust Framework for Evaluating Trustworthiness of Cloud Providers. Elsevier Journal of Future Generation Computer Systems (FGCS), 79:488-499, 2018.
  • M. HoseinyFarahabady, A. Y. Zomaya, and Z. Tari: A Model Predictive Controller for Managing QoS Enforcements and Microarchitecture-Level Interferences in a Lambda Platform. IEEE Transactions on Parallel and Distributed Systems (TPDS), 29(7):1442-1455, 2018.
  • Z. Shah, A. Mahmood, M.G. Barlow, Z. Tari, X. Yi, and A.Y. Zomaya: Computing Hierarchical Summary from Two-dimensional Big Data Streams. IEEE Transactions on Parallel and Distributed Systems (TPDS), 29(4):803-818, 2018.

  • Z. Shah, A. Mahmood, Z. Tari, and A. Zomaya: A Technique for Efficient Query Estimation over Distributed Data Streams. IEEE Transactions on Parallel and Distributed Systems (TPDS), 28(10): 2770—2783, 2017.
  • A. Forkan, I. Khalil, A. Ibaida, and Z. Tari: BDCaM: Big Data for Context-aware Monitoring - A Personalized Knowledge Discovery Framework for Assisted Healthcare. IEEE Transactions on Cloud Computing, 5(4):628-640, 2017.
  • A. Mohannad, P. Bertok, and Z. Tari: Trusting Cloud Service Providers: Trust Phases and a Taxonomy of Trust Factors. IEEE Cloud Computing, 4(1):44-54, 2017.
  • E. Baccour, S. Foufou, R. Hamila, and Z. Tari: Achieving Energy Efficiency in Data Centers with a Performance-Guaranteed Power Aware Routing. Computer Communications, 109:131-145, 2017.
  • P. Church, H. Mueller, C. Ryana, S.V. Gogouvitis, A. Goscinski, Z. Tari: Migrating of SCADA System to IaaS Cloud – A Case Study. Journal of Cloud Computing, 6:1-11, 2017.
  • Z. Chkirnene, S. Foufou, R. Hamila, Z. Tari and A.Y. Zomaya: LaCoDAL Layered Connected Topology for Massive Data Centers. Journal of Network and Computer Applications (JNCA), 83:169-180, 2017.
  • E. Baccour, S. Foufou, R. Hamila, Z. Tari and A.Y. Zomaya: PNet: An Efficient and Green Data Center Network. Journal of Parallel and Distributed Computing, 107:3-18, 2017.
  • J. Zhang, Z. Tari and M. Cheriet: KRNN - k rare-class Nearest Neighbour Classification. Pattern Recognition, 62:33-44, 2017.
  • U. Premarathne, I. Khalil, Z. Tari and A.Y. Zomaya: Cloud-based Utility Service Framework for Trust Negotiations using Federated Identity Management. IEEE Transactions on Cloud Computing, 5(32):290-302, 2017.
  • A. Anwar, A. Mahmood and Z. Tari: Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids. IEEE Transactions on Industrial Informatics (TII), 13(6):3299-2211, 2017.
  • A. Anwar, A. Mahmood, Z. Tari and A.Y. Zomaya: HPC based Intelligent Volt/VAr Control of Unbalanced Distribution Smart Grid in the presence of Noise. IEEE Transactions on Smart Grid, 8(3):1446-1459, 2017.

  • Z. Tari, A. Almalawi, A. Fahad, I. Khalil, A.Y. Zomaya, A. Song, S. Sajasekhar: Supervisory Control and Data Acquisition (SCADA) - An Introduction. Encyclopedia of IEEE, August 2016.
  •  U.S. Premarathne, A. Abuadbba, A. Alabdulatif, I. Khalil, Z. Tari, A.Y. Zomaya and R. Buyya: Hybrid Cryptographic Access Control for Cloud based Electronic Health Record Systems. IEEE Cloud Computing, 3(4):58-64, 2016.
  • X. Yi, F-Y Rao, Z. Tari, F. Hao, E. Bertino, A.Y. Zomaya, and I. Khalil: ID2S Password-Authenticated Key Exchange Protocols. IEEE Transactions on Computers, 65(12): 3687-3701, 2016.
  • H. Kumarage, I. Khalil, A. Alabdulatif, Z. Tari, and X. Yi: Secure Data Analytics for Cloud Integrated Internet of Things (IoT) Applications. IEEE Cloud Computing, 3(2):46-56, 2016.
  • K-L Ong, A. Goscinski, Y. Han, P. Brezany, Z. Tari, L. Yan: SSC - Cloud-based Data Stream Management in Distributed Environments. International Journal of High Performance Computing and Networking (IJHPCN), 9(3): 171-189, 2016.
  • A. Almalawi, A. Fahad, Z. Tari, A. Alamri, R. AlGamdi, and A.Y. Zomaya: An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems. IEEE Transactions on Information Forensics & Security (TIFS), 11(5):893-906, 2016.
  • A. Almalawi, A. Alharthi, Z. Tari, M. A. Cheema, and I. Khalil: kNNVWC: An Efficient k-Nearest Neighbours Approach based on Various-Widths Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1):68-81, 2016.
  • C. Chen, X. Zhu, P. Shen, J. Hu, Z. Tari, A.Y. Zomaya: An Efficient Privacy-Preserving Ranked Keyword Search Method for Big Data. IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(4):951-963, 2016.

  • Z. Tari, X. Yi, U. Premarathne, P. Bertok and I. Khalil: Security and Privacy in Cloud Computing: Vision, Trend and Challenges. IEEE Cloud Computing, pp. 30-38, 2015.
  •  A. Anwar, A.N. Mahmood and Z. Tari: Identification of Vulnerable Node Clusters Against False Data Injection Attack in an AMI based Smart Grid. Elsevier Journal on Information Systems, 53:201-212, 2015.
  • A. Forkan, I. Khalil, Z. Tari, S. Fofou and A. Bouras: A Context-aware Approach for Long-term Behavioural Change Detection and Abnormality Prediction in Ambient Assisted Living. Elsevier Journal on Pattern Recognition, 48(3):628-641, 2015.
  • N. Yaakob, I. Khalil, H. Kumarage, A. Atiquzzaman and Z. Tari: By-passing Infected Areas in Wireless Sensor Networks using BPR. IEEE Transactions on Computers (TC), 64(6):1594-1606, 2015.
  • H. Kumarage, I. Khalil and Z. Tari: Granular Evaluation of Anomalies in Wireless Sensor Networks using Dynamic Data Partitioning with an Entropy Criteria. IEEE Transactions on Computers (TC), 64(9): 2573-2585, 2015.
  • M. Almashor, I. Khalil, Z. Tari, A.Y. Zomaya, and S. Sartaj: Enhancing Availability in Content Delivery Networks for Mobile Platforms. IEEE Transactions on Parallel and Distributed Systems (TPDS), 26(8): 2247-2257, 2015.
  • H. Alexander, I. Khalil, C. Cameron, Z. Tari, and A.Y. Zomaya: Cooperative Web Caching using Dynamic Interest-Tagged Filtered Bloom Filters. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2956-2969, 2015.

  • Z. Tari: Security and Privacy in Cloud Computing. IEEE Cloud Computing 1(1): 54-57, 2014.
  • C.L. Meli, I. Khalil, and Z. Tari: Load-sensitive Dynamic Workflow Re-orchestration and Optimisation for Faster Patient Healthcare. Elsevier Journal of Computer Methods and Programs in Biomedicine, 113(1):1-14, 2014.
  • A. Almalawi, X. Yu, Z. Tari, A. Fahad, and I. Khalil: Unsupervised Anomaly-Based Detection Approach for Integrity Attack on SCADA Systems. Elsevier Journal on Computer Security, 46:94-110, 2014.
  • A. Forkan, I. Khalil, Z. Tari: CoCaMAAL: A Cloud-oriented Context-aware Middleware in Ambient Assisted Living. Elsevier Journal of Future Generation Computer Systems (FGCS), 35: 114-127, 2014.
  • J. Taheri, A.Y. Zomaya, H.J. Siegel, and Z. Tari: Pareto Frontier for Job Execution and Data Transfer Time in Hybrid Clouds. Elsevier Journal of Future Generation Computer Systems (FGCS), 37: 321-334, 2014.
  • A. Fahad, Z. Tari, I. Khalil, A. Almalawi, and A.Y. Zomaya: An Optimal and Stable Feature Selection Approach for Traffic Classification based on Multi-Criterion Fusion. Elsevier Journal of Future Generation Computer Systems (FGCS), 36:156-169, July 2014.
  • D. Hoplaros, Z. Tari, and I. Khalil: Data Summarization for Network Traffic Monitoring
  • Journal of Network and Computer Applications. Elsevier Journal of Network and Computer Applications (JNCA), 37:194-205, 2014.
  • C. Cameron, I. Khalil, and Z. Tari: An ID-based Approach to the Caching and Distribution of Peer-to-Peer Proxy-based Video Content. Elsevier Journal of Journal of Network and Computer Applications (JNCA), 37:293-314, 2014.
  • A. Chadagorn, I. Khalil, C. Cameron, Z. Tari: PileCast: Multiple Bit Rate Live Video Streaming Over BitTorrent. Elsevier Journal of Network and Computer Applications (JNCA), 39:167-178, 2014.
  • D. Al-Shammary, I. Khalil, and Z. Tari: A Distributed Aggregation and Fast Fractal Clustering Approach for SOAP Traffic. Elsevier Journal of Network and Computer Applications (JNCA), 41:1-14, 2014.
  • A. Fahad, N. Alsartri, Z. Tari, A. Alamri, I. Khalil, A.Y. Zomaya, S. Fofou and A. Bouras: A Survey of Clustering Algorithms: Taxonomy and Empirical Analysis for Big Data. IEEE Transactions on Emerging Topics in Computing (TETC), pp. 267-279, 2014.
  • G. Abhaya, Z. Tari, P. Zeephongsekul, and A.Y. Zomaya: Performance Analysis of EDF Scheduling in a Multi-Priority Preemptive M/G/1 Queue. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2582149-2158, 2014.
  • M. Jayasinghe, Z. Tari, P. Zeephongsekul, and A.Y. Zomaya: ADAPT-POLICY - Task Assignment in Server Farms when the Service Time Distribution of Tasks is not Known a Priori. IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(4):851-861, 2014.
  • A. Fahad, Z. Tari, A. Almalawi, A. Goscinski, I. Khalil, and A. Mahmood: PPFSCADA: Privacy Preserving Framework for SCADA Data Publishing. Elsevier Journal of Future Generation Computer Systems (FGCS), 37: 496-511, 2014.

  • A. Fahad, Z. Tari, I. Khalil, I. Habib and H. Alhueweri: Toward an Efficient and Scalable Feature Selection Approach for Internet Traffic Classification. Elsevier Journal of Computer Networks (JCN), 57(9, 19):2040-2057, 2013.
  • C. Queiroz, S. K. Garg, and Z. Tari: A Probabilistic Model for Quantifying the Resilience of Networked Systems. IBM Journal of Research & Development, 57(5):31-3:9, 2013.
  • D. Al-Shammary, I. Khalil, Z. Tari and A.Y. Zomaya: Fractal Self-Similarity Measurements based Clustering Technique for SOAP Web Messages. Elsevier Journal of Parallel and Distributed Computing (JPDC), 73(5):664-676, 2013.
  • H. Kumarage, I. Khalil, Z. Tari and A.Y. Zomaya: Distributed Anomaly Detection for Industrial Wireless Sensor Networks Based on Fuzzy Data Modelling. Elsevier Journal of Journal of Parallel and Distributed Computing (JPDC), 73(6):790-806, June 2013.
  • M. Almashor, I. Khalil, Z. Tari and A.Y. Zomaya: Automatic and Autonomous Load Management in Peer-to-peer Virtual Environments. IEEE Journal on Selected Areas in Communications (JSAC), 31(9):310-324, 2013
  • M. Perepletchnikov, C. Ryan, and Z. Tari: An Analytical Framework for Evaluating Service-Oriented Software Development Methodologies. Journal of Software, 8(7):1642-1659, 2013.
  • C. Quieroz, A. Mahmood, and Z. Tari: A Probabilistic Model to Measure the Survivability of SCADA Systems. IEEE Transactions on Industrial Informatics, 9(4):1975-1985, 2013.

  • V.G. Abhaya, Z. Tari and P. Bertok: Building Web Services Middleware with Predictable Execution Times. International Journal on World Wide Web (WWW), 15(5-6): 685-744, 2012.

  • C. Queiroz, A. Mahmood, Z. Tari: SCADASim - A Framework for building SCADA Simulations. IEEE Transactions on Smart Grid, 2(4):589-597, 2011.
  • C. Quieroz, A. Mahmood, and Z. Tari: A Probabilistic Model to Measure the Survivability of SCADA Systems. IEEE Transactions on Industrial Informatics (TII), 2(4): 589-597, 2011.
  • M. Jayasinghe, Z. Tari, P. Zeephongsekul, and A.Y. Zomaya: Task Assignment in Multiple Server Farms using Preemptive Migration and Flow Control. Journal of Parallel and Distributed Computing (JPDC), 71(12):1608-1621, 2011.

  • M. Perepletchikov, C. Ryan and Z. Tari: The Impact of Service Cohesion on the Analyzability of Service-Oriented Software. IEEE Transactions on Services Computing (TSC), 3(2): 89-103, 2010.
  • A. Mahmood, J. Hu, Z. Tari, and C. Leckie: Critical Infrastructure Protection: Resource Efficient Sampling to Improve Detection of Less Frequent Patterns in Network Traffic. Journal of Network and Computer Applications (JNCA), 33(4): 491-502, 2010.

  • J. Broberg, R. Buyya and Z. Tari: MetaCDN - Harnessing 'Storage Clouds' for High Performance Content Delivery. Journal of Network and Computer Applications (JNCA), Elsevier, 32(5): 1012-1022, 2009.
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Feature projects

Resource Allocation for High-Volume Streaming Data in Data Centres

Supported by - ARC (Australian Research Council)

Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies

Funding - Australian Department of Industry Innovation and Science

STREP (Small or Medium-Scale Focussed Research Project): Authorisation and Authentication for Entrusted Unions

Funding - AU2EU (Australia to European)

Key projects

Expand all sections

Most of Prof Tari's projects are funded by the ARC (Australian Research Council) and various IT industries (e.g., Siemens/Germany), which includes the followings:

  • Resource Allocation for High-Volume Streaming Data in Data Centres.
  • Australia Vietnam Enhanced Economic Engagement Grant (AVEG). Australia–Vietnam Policy Institute
  • ARC Discovery Project. Resource Allocation for High-Volume Streaming Data in Data Centres.
  • Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies, Department of Industry Innovation and Science.
  • Oceania Cyber Security Grant. Development of Smart Grid Cyber Security Testbed.
  • ARC Linkage Project. Cloud Resource Allocation under Bursty Conditions for Heavy-Tailed Jobs.
  • ARC Linkage Project. Contention-Aware Scheduling in Cloud Data Centres.
  • Siemens / Germany. Porting SCADA in the Cloud.
  • ARC Linkage Project: Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres.
  • 7th Framework, AU2EU (Australia to European) funds, STREP (Small or Medium-Scale Focussed Research Project): Authorisation and Authentication for Entrusted Unions.
  • Honeywell and Siemens grant: Powering our Future Cities: Achieving Greener Government Buildings and Energy Use Behaviour Using Demand Response and Energy Informatics.
  • ARC Linkage Project: Developing Smart Embedded Host-based Intrusion Detection Systems.
  • ARC Linkage Project: Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures.
  • ARC Discovery: Designing for Reliability and Maintainability in Service Oriented Architectures.
  • ARC Linkage Project: Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments.
  • ARC Discovery: Coordinated and Cooperative Load Sharing between Contentment Delivery Networks.
  • ARC Linkage Infrastructure Equipment and Facilities: Enterprise Grid Laboratory.
  • ARC Linkage: An Integrated Infrastructure for Dynamic and Large-Scale Supply Chain Applications.
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Grants

  • ARC Linkage Infrastructure Equipment and Facilities (LIEF)(2022)(>$0.5M). A Secure Smart Sensing and Industry Analytics Facility for Industry 4.0. G. Xu, M. Sheng, A. Bouguettaya, M. Blumenstein, Z. Tari, X. Yi, M. Warren, W. Xiang, J. Deuse, H. Yin, B. Javadi, R. Calheiros, N. Bennett, X. Wang and Z. Xiong.
  • CloudTech Group large industry project (>$1M)(2022-2024). Proofs of Space-Time (PoST) consensus algorithms for Large-Scale Green Bitcoin Platform. Z. Tar and H. Dong.
  • Victorian Higher Education State Investment Fund (VHESIF)(2022). Vietnam’s Industry 4.0 Opportunities for Australian Business. V. Thai, P. Chhetri, T. Nguyen, M. Hossain, S. Shahparvari, Z. Tari, S.K. Kermanshahi, J. Thangarajah, R. Arrigo, J. von Kaenel B. Baulch, T. Pham, and M. Nkhoma.
  • Australia Vietnam Enhanced Economic Engagement Grant (AVEG)(DFAT)(2021). Australia–Vietnam Policy Institute and Agri-business Trade and Investment Promotion Pilot. L. Pike, V. Thai, P. Chetri, Z. Tari, D.T. Ton, and H.-O. Nguyen.
  • ARC Discovery (2020-2022). Resource Allocation for High-Volume Streaming Data in Data Centers. Z. Tari. 
  • Department of Industry, Innovation and Science (2020-2024)(>$1M Australia)(>$3M China). Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies. A.Y. Zomaya, J. Ma, Z. Tari, W. Li, F. Chen, T. Yang, C. Wang, J. Cao, W. Yang, K. Gao, 
  • Oceania Cyber Security Grant (2018). Development of Smart Grid Cyber Security Testbed. Mahmood and Tari. 
  • ARC Linkage Project (2016-2019). Cloud Resource Allocation under Bursty Conditions for Heavy-Tailed Jobs. Zomaya and Tari. 
  • ARC Linkage Project (2015-2018). Contention-Aware Scheduling in Cloud Data Centres. Zomaya, Tari and Taheri.
  • Siemens / Germany (2015-2017). Porting SCADA in the Cloud. Tari, Goscinski, Ryan. 
  • ARC Linkage Project (2014-2017). Energy-Efficient Computing: Expanding the Role of Scheduling in Cloud Data Centres. Zomaya, Tari, Lee, and Bangalore. 
  • 7th Framework, AU2EU (Australia to European) funds, STREP (Small or Medium-Scale Focussed Research Project): Authorisation and Authentication for Entrusted Unions. Petkovic (Philips),…, Tari (RMIT)
  • Honeywell and Siemens grant (2014-2017). Powering our Future Cities: Achieving Greener Government Buildings and Energy Use Behaviour Using Demand Response and Energy Informatics. Yu, Ryan, Tari, Khalil et al.
  • ARC Linkage Project (2011-2013). Detecting Supervisory Control and Data Access (SCADA) Malicious Programs to Protect Australian Critical Infrastructures. Tari, Mahmood, and Hu.
  • ARC Linkage Project (2010-2012). Developing Smart Embedded Host-based Intrusion Detection Systems. Yu, Hu, Tari, and Han. 
  • ARC Linkage Project (2010-2012). Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. Tari, Hu, and Abdun. 
  • ARC Discovery (2009-2011). Designing for Reliability and Maintainability in Service Oriented Architectures. Tari, Ryan and Papazoglou. 
  • ARC Linkage Project (2009-2011). Privacy-Preserving Remote Access to Health Information Infrastructure in Ubiquitous Computing Environments. Bertok, Tari and Batten. 
  • ARC Discovery (2008-2010). Coordinated and Cooperative Load Sharing between Contentment Delivery Networks. Broberg and Tari. 
  • ARC Linkage Infrastructure Equipment and Facilities (LIEF)(2006): Enterprise Grid Laboratory. Goscinski, Abramson, Tari, and Roe. 
  • ARC Linkage (2006-2008). An Integrated Infrastructure for Dynamic and Large Scale Supply Chain Applications. Tari, Bertok and Singh. 
  • ARC Linkage (2004-2007). Designing a Scalable and Efficient Infrastructure for Mobile Service (M-Services). Tari, Zaslavsky and Hu.  
  • ARC Linkage (2004-2007). Developing a Scalable Infrastructure for Embedded E-Security Incorporating Cryptography and Biometric Authentication. Hu, Tari, Schroder, Boztas, and Wu.
  • ARC Discovery (2003-2005). Dynamic Load Distribution for Systems under Heavy Traffic Demand and High Task Size Variation. Tari, Zomaya, and Schroder.
  • ARC Linkage (2003-2005). Designing a Scalable and Robust Infrastructure for Highly Dynamic Web Services. Tari, Zomaya, and Appelbe.
  • ARC Collaborative Research Grant (1995-1997). An Information Security Model for the Finance and Banking Sector. Longley, Anderson and Tari.
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

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aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information