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www.infotech.monash.edu/dsse
Centre for Distributed Systems andCentre for Distributed Systems andSoftware Engineering (DSSE)Software Engineering (DSSE)
From theoretical foundationsto practical tools, solutions, services,applications, platformsand systems
www.infotech.monash.edu/dsse2
Centre for DSSE
• Director: A/Prof Arkady Zaslavsky• Deputy Director: Dr Shonali Krishnaswamy
• DSSE carries out research in foundations, methods, tools and environments for conceptualising, modelling, analysing, developing, maintaining and benchmarking large parallel, distributed and pervasive systems.
• Established in 1998 as Monash University Research Centre• Ranked Faculty Research Strength #1
– 1998, 1999, 2000, 2002– Weight in Caulfield & Clayton Schools of IT – Incl. strengths in Gippsland School of IT
• Strong international collaboration and exchange program• Members and other details see
– http://www.dsse.monash.edu.au/
www.infotech.monash.edu/dsse3
DSSE mission
• Mission: DSSE aims to advance the foundations, methods and practice of distributed systems and software engineering. Its mission is to achieve internationally recognised research excellencethrough national and international competitive grants, high impact and quality publications, extensive international collaboration, product-oriented industry collaboration, focused research student and staff exchange and efficient and effective PhD student supervision.
www.infotech.monash.edu/dsse4
DSSE structure
• MESSAGE Lab (E-Science and Grid Engineering Laboratory)– Director: Prof David Abramson
• Mobility Lab (Mobile, Ubiquitous, Pervasive Computing and Databases)– Directors: A/Prof Arkady Zaslavsky & Prof
Bala Srinivasan
www.infotech.monash.edu/dsse5
MESSAGE Lab (E-Science and Grid Engineering Laboratory)
• E-Science, enabled by the emerging Grid computing paradigm, tightly couples scientists, their instruments, massive storage devices and powerful computational devices. The computational Grid has promised a great deal in support of innovative applications, particularly in science and engineering, but developing applications can be demanding.
• The Lab is developing a range of upper middleware services and tools to solve the software engineering challenges in building real applications.
• Current research includes: (a) tools that make it simple to build Grid applications, leveraging existing legacy codes, (b) systems for testing applications on the Grid, (c) systems to deploy application to the distributed heterogeneous environment and (d) application execution mechanisms, including run time environments for distributed workflows.
www.infotech.monash.edu/dsse6
Mobility Laboratory
• The Mobility Laboratory carries out research in pervasive, mobile, ubiquitous and wireless computing and networking.
• A diverse range of projects investigates the technical and social challenges of creating distributed computational environments and systems that will recede into the background of our everyday lives and empower us to be more effective in all of the activities that we undertake.
• Pervasive computing goes beyond the realm of personal computers. Almost any device, from clothing to tools, to appliances, to cars, to homes, to the human body, to your coffee mug, can be embedded with chips to connect it to an infinite network of other devices. The goal of pervasive computing, which combines current network technologies with wireless connectivity, Internet capability, artificial intelligence and other enabling paradigms, is to create an environment where the connectivity of devices is embedded in ways that are unobtrusive and always available.
www.infotech.monash.edu/dsse7
Initiatives, spin-offs & research networks
• CRC DSTC – Distributed Systems Technology Centre, 1998-2005– M3, TrustMe, Nimrod
• MC2 Lab (Monash Cluster Computing Lab), 2001-2006– Joint: DSSE, CSSE, Maths, Earth Science– SMURF $150K + $120K
• CoolCampus - > $1.3M in-cash & in-kind, 2002-2006– Faculty of IT, Library, ITS, CeLTS, Student and Staff Services, other
faculties– 12 academics (CSSE, SIMS, SNC), 20+ student projects, 8 PhD use
infrastructure• M-commerce – CSSE & SIMS, 2000-2005• Links with faculties of Engineering & Science• EII (Enterprise Information Infrastructure) – ARC Research Network• ARC Research Network - National Molecular and Materials Structure
Network (MMSN).
www.infotech.monash.edu/dsse8
International Context
• Extensive international collaboration network– DSSE researchers also have had close collaborations with several
Universities internationally including, UC San Diego, US; IRISA/INRIA Rennes, France; Luleå, KTH and Mäladarlen in Sweden; Fernuni Hagen, Germany; University Karlsruhe, Germany; University Oldenburg, Germany; Kings and Imperial College in London plus Cranfield University and the Welsh Grid centre in Cardiff, Technical University of Berlin, Germany, University of Pittsburgh, USA; NTNU, Norway, Oxford University, UK, University of Amsterdam, Netherlands, University of Linz, Austria, National University ofSingapore.
– Key members have attracted a significant amount of internationalgrants from multi-national industries.
• Intensive program of International visitors– With modest funding, the Centre has supported a vibrant international
visitors program hosting international research exchanges and sabbatical visits that have contributed significantly to the research context for PhD students and staff alike.
www.infotech.monash.edu/dsse9
Composition of DSSE (20.08.2007)
• Number of RG members: 12• Number of Research Only Staff: 6• Number of Early Career Researchers: 3• Number of Associates: 7• Total Outputs* (2000-2006): 439
* Measurable outcomes, eg, publications, software, etc
www.infotech.monash.edu/dsse10
Grants & income (2000-2005)
• ARC: 12 - $772,401• Government: 2 - $66,128• Industry: 14 - $577,634• International: 8 - $1,427,036• CRC: > $4,000,000
www.infotech.monash.edu/dsse11
HDR (2000 – 2007) & Graduate Studies
• HDR completions: > 50• HDR students supervised (20.08.2007) : 53
DSSE directly and indirectly coordinates and delivers four forthcoming Master of ICT specializations (commencing 2009):
• Distributed and mobile computing systems• Data management• Internet and web applications development• Software engineering
www.infotech.monash.edu/dsse12
DSSE research strengths
• GRID tools• e-Science• parallel computation• software engineering • high-performance
computational infrastructure
• middleware,• tools & platforms• parallel and relative
debugging• cluster computing• distributed workflows
• wireless solutions• mobile applications• multi-agent systems,• context-aware intelligent
environments• pervasive computing
systems• distributed data
management• sensor networks,• service-oriented
architectures• mobile networks• ubiquitous computing• security solutions
www.infotech.monash.edu/dsse
Centre for Distributed Systems andCentre for Distributed Systems andSoftware Engineering (DSSE)Software Engineering (DSSE)
Researchers and projects
www.infotech.monash.edu/dsse14
Professor David Abramson
• New Methods in Scientific discovery – e-Science & e-Research
• Computational Platforms– The Grid and the Web
• Supporting a Software Lifecycle• Grid Services & Middleware• Software Lifecycle Tools
– Applications development– Deployment– Test and debugging– Execution
• Monash Tools– The Nimrod Family
> Applications– Deployment tools– Active Data– More …
http://www.csse.monash.edu.au/~davida
www.infotech.monash.edu/dsse15
MiddlewareGlobus GT4 CondorAPST
Environmental Sciences
Life & Pharmaceutical
Sciences
ApplicationsGeo Sciences
Courtesy IBM,Lower Middleware
Upper Middleware & Tools
Bonds
PlatformInfrastructure Unix Windows JVM TCP/IP MPI .Net Runtime .Web Services VPN SSH
www.infotech.monash.edu/dsse16
PlatformInfrastructure Unix Windows JVM TCP/IP MPI .Net Runtime
Environmental Sciences
Life & Pharmaceutical
Sciences
ApplicationsGeo Sciences
VPN SSH
LowerMiddleware Globus GT4
UpperMiddleware/Tools
Nimrod/G /O /E Kepler
Nimrod/K
Development
Debug
Test-Debug
Worqbench
IE EclipseEclipse
Guard
Eclipse VS
Deploy Motor
DistANT
Deployment
REMUS Active Data
NimrodPortal& WS
GriddLeSNetFiles Active
Sheets
Excel
Execution
SRB
www.infotech.monash.edu/dsse17
• Supports workflows for robust design and search– Vary parameters– Execute programs– Copy data in and out
• Sequential and parallel dependencies• Computational economy drives scheduling• Computation scheduled near data when
appropriate• Use distributed high performance platforms• Upper middleware broker for resources
discovery• Wide Community adoption
Nimrod
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
Nimrod/GEnFuzion (www.axceleon.com)
Nimrod/ONimrod/OI
Nimrod/K
Active Sheets (Excel)
Nimrod Roadmap
Nimrod/WS
www.infotech.monash.edu/dsse18
Nimrod/G
Grid Middleware
Nimrod/O Nimrod/E
Nimrod Portal
Actuators
The Nimrod family
www.infotech.monash.edu/dsse19
Professor Bala Srinivasan
• Mobile computing• Wireless and mobile databases• Security in wireless and sensor
networks• Payment Systems and Security• Multimedia Retrieval Systems• QoS and QBiz in Networks and
Web Services
http://www.csse.monash.edu.au/~srini/
www.infotech.monash.edu/dsse20
Data Broadcasting for Wireless Databases
Server
Data Broadcast Management
(Proposed Schemes)
Broadcast Channel
Listening to the channel
Retrieving the desired data
Data Repository
Retrieve database items
Required database items
MobileClients
Transmitter
Determining Optimum Number of Broadcast
Channels
Formulating Data
Broadcast Ordering and Scheduling Schemes
Index Broadcasting Schemes
• Traditional Queries
• Location-Dependent Queries
Minimising Query Access
Time
Minimising Tuning Time and
Power Consumption
www.infotech.monash.edu/dsse21
Mobile Query Processing IncorporatingMultiple Non-collaborative Servers
Process data from twoDifferent servers- how to process?
www.infotech.monash.edu/dsse22
Sensitive Information Retrieval Systems
www.infotech.monash.edu/dsse23
Denial of service in Sensor Networks
Non-participating nodes
Gateway
Victim
Attackers
Non-participating nodes
Victim
Attackers
Laptop-class Adversary
DDoS attack launched against a victim
in a Wireless Sensor NetworkDDoS attack against a victim in an HPN environment
www.infotech.monash.edu/dsse24
A/Professor Arkady Zaslavsky
• Mobile, wireless, pervasive, ubiquitous computing and networking
• Context-awareness• Mobile databases &
transaction management• Applications of pervasive
computing technology• Mobile software agents• Distributed computing
systems
http://www.csse.monash.edu.au/~azaslavs
www.infotech.monash.edu/dsse25
LTU-Monash collaboration – PhD-polis
LULEÅTEKNISKA
UNIVERSITET
Adaptive & ContextAdaptive & Context--aware aware Multimedia in adMultimedia in ad--hoc communitieshoc communities
KKåårere SynnesSynnes
Christer Åhlund
Arkady Zaslavsky
Robert Brannström– multiple gateway
connectivity
Ruwini Kodikara –Networking issues, cross-layer context
exchange
Arkady Zaslavsky
www.infotech.monash.edu/dsse26
Some Current projects
• Mobile transactions and web-services – SunamPradhan (ARC Linkage with RMIT)
• ARC Linkage with Intel – pervasive computing & crisis medicine
• ARC RN EII – taskforce on context-awareness• Robocollectors in sensor networks – Prem
Jayaraman – with LTU, Sweden• Data stream mining visualisation – Brett Gillick• Querying data streams – Pari Delir• 3 new PhD students have joined in 2007
www.infotech.monash.edu/dsse27
Context-Situation pyramid
Situations
Context
Sensory-originateddata
www.infotech.monash.edu/dsse28
28
Context Service
The architecture of a context service
www.infotech.monash.edu/dsse29
Agent Injection Service
Load Monitor
Reasoning Engine
Cleaner
KB
Data AssimilatorData AssimilatorData Assimilator
Data InserterData InserterData Inserter
<raise process>
<raise process>
Monitor
<inject>
Stability Analyser
1. Knowledge Synthesiser
2. Conflict Analyser
3. Context Adapter
4. Verifier
MQ
MQ
SensorSensors
AgentFiltering Agent
Reasoning AgentAgent
Agencies
Event Router
Reasoning Layer
Algorithms Library
ContextExplorers – reasoning about context
Agent Agent communication communication platform using platform using
publishpublish--subscribesubscribe
ContextExplorersContextExplorers
A.PadovitzA.Padovitz, , A.ZaslavskyA.Zaslavsky & & S.W.LokeS.W.Loke, , B.BurgB.Burg, , C.BartoliniC.Bartolini
www.infotech.monash.edu/dsse30
ITAG – Itinerary Agents
• ITAG – Itinerary Agents – mobile agents
– A high-level language for reasoning with and programming the mobility behaviour of agents
www.infotech.monash.edu/dsse31
E-Hermes: Context-rich mobile agent technology to support information needs of financial institutions
e-Hermes
Mission Control Centre
Actor
Ontology
Mission Agent Factory(AF)
AgentComponent
Library
Mission Control Agent(MCA)
M
M
M
Log
Ontolo
gy
Mission Manager
ProfileRepository
Filter/Presentation toUser
Request
StaticInformation
Resulting informationResult
User Profile
MissionRepository
RequestInformation
User InteractionProcessor
Profile Builder
Glenn Glenn JayaputeraJayaputera ––AgentsAgents--onon--Demand Demand
Oshadi Alahakoon Oshadi Alahakoon –– PersonalisationPersonalisation & &
profilingprofiling
ARC Linkage, 2003ARC Linkage, 2003--20052005
www.infotech.monash.edu/dsse32
SoundHunters: Mobile Agents Using Sound
• Track a moving sound source by listening to the sounds it emits and migrate through the network in order to always stay close to it, at least a step ahead
• Grasshopper, IBM ViaVoice, Speech Recognition, Sound Files
• Media attention !!!
X
X
X
(a) (b)
(c) (d)
Node with an agentNode without an agentA removed agentDirection of a copySound source
Key
X
www.infotech.monash.edu/dsse33
Context-aware mobile real-time decision support for contingency management
• Team: F.Burstein (FIT), A.Zaslavsky (FIT), L.Churilov(BusEco), 1 medical researcher (TBA)
• The Research Aim is to propose an approach to sensitivity analysis to predict consequences of changing Quality of data (QoD) attributes, and analysing the impact of these changes to expected decision outcomes;
• develop a prototype mobile contingency management context-aware DSS, which is capable of providing QoDinformation in a user-specific way.
• establish QoD metrics that will take into account static and dynamic properties of the mobile environment;
www.infotech.monash.edu/dsse34
CoolCampus Ideology
Pervasive/Ubiquitous/Mobile Research•Location awareness•Sensor networks•Adaptability•Context management•Resource constraints•Devices & services•Software•….
University users•Administration•Library•Student services•Academic board•IT Services•Community sector•Monash International•…..
www.infotech.monash.edu/dsse35
CoolCampus’2003: Projects…
• SoundHunters: Mobile Agents Using Sound• Location-aware book finder• Mutually location-aware mobile robots• Enabling A Smart Seminar Room Using Mobile
Agents• Location Awareness & Sensor Networks• CIM: Cool-campus IPAQ Monitor• Mobile phone based personal assistant
www.infotech.monash.edu/dsse36
CoolCampus’2004: Projects…
• Commercially Available Sensor Devices for Location Aware Infrastructure
• Wireless network topology visualisation
• A System for Proactive Discovery and Update of Location-Aware Ambient Services
• Hanging Services: An Investigation of Context-Sensitivity and Mobile Code for Localised Services
• ContextExplorers
www.infotech.monash.edu/dsse37
A/Professor John Hurst
• Document technologies• Educational technologies• XML and Literate
Programming• Expert Student Course
Advice
http://www.csse.monash.edu.au/~ajh
www.infotech.monash.edu/dsse38
XML and Literate Programminghttp://www.csse.monash.edu.au/~ajh/research/literate/index.xml
• Literate Programming is a technique developed by Donald Knuth, and described in his seminal paper in Computer Journal, 1984. Itis both a software process and a suite of tools for supporting that process. Programs written as literate programs go through two (conceptually) independent processes known as tangling and weaving. Tangling creates the actual source code for input to a compiler; weaving creates a documentation file suitable for processing by a document system such as TeX.
• More modern versions of literate program tools have attempted todecouple the N x M combinatorial explosion created by the choiceof N programming languages and M documentation systems, by restricting the markup and presentational mechanisms. The tool currently in use in the work described here is such a tool: the markup of source documents is done in XML, and the documentation device is handled by XML translators. This reduces the problem from an N x M to an N + M one, where N = 1.
www.infotech.monash.edu/dsse39
Expert Student Course Advice
• As part of an on-going process to better utilize the advantages of information technology in a university learning environment, a recent student project looked at ways of extracting course and unit information from publically available handbooks, and turning this into an "expert system" that could provide course advice tostudents. One outcome from this project was the automatic rendition of a Prolog program that was tailored to a given student at some arbitrary point in his or her course. Knowing what units had been completed, what units the course structure required, and what units might be undertaken in the next semester, the program would not only supply the student with a list of possible units that could be taken over the next semester, but also would show what units had to be taken in order to complete the course with (say) a specialization in a particular field.
• The project continues to develop a workable prototype. This prototype could be employed via say a web interface, or faculty kiosk."
www.infotech.monash.edu/dsse40
Dr Shonali Krishnaswamy
• Distributed and Ubiquitous Data Stream Mining
• Web Services and Service Oriented Computing
• Intelligent, Mobile Software Agents
http://www.csse.monash.edu.au/~shonali
www.infotech.monash.edu/dsse41
Current/Recent External Research Grants
• Taskforce on Context-Aware Computing (2007)– Role: Taskforce Leader– Funded By: ARC Research Network on Enterprise
Information Integration (EII)
• ARC Linkage - Ubiquitous Data Mining and Situation-Awareness for Improving Road Safety (2005-2007)
– Role: Chief Investigator (with A/Prof Rakotonirainy and Prof M Sheehan (CARRS-Q, QUT) and Dr S W Loke (La Trobe Univ.)
– Industry Partner: Insurance Australia Group
• ARC Discovery - Efficient Prediction of Application Metrics for E-Services (2003-2005)
– Role: Australian Post Doctoral (APD) Fellow (with A/Prof A Zaslavsky as CI)
www.infotech.monash.edu/dsse42
Research Projects – Ubiquitous Data Stream Mining
• Architectures– RA-UDM (Resource-Aware UDM)– Context-Aware Middleware for Adaptive Data Stream Mining
• Algorithms– Lightweight Clustering (LWC) and a Fuzzy extension for interpretation/labelling– Lightweight Classification (LWClass)– Lightweight Frequent Items (LWF)– RA-VFKM – Resource-Aware Very Fast K-Means– RA – Cluster - focuses on adaptation at input, processing and output points – Resource-Aware and Adaptive Visualisation Techniques for Handheld Devices
• Applications– Intelligent Transportation Systems - Intersection Collision Detection and Warning,
Accident Prevention at Curves, Real-Time Detection of Drunk Driving Behaviour (with CARRS-Q @QUT and Insurance Australia Group)
– Sensor Networks – Context-Awareness and In-Network Mining for Energy Conservation in Sensor Networks (with Department of Primary Industries, Victoria)
www.infotech.monash.edu/dsse43
Resource-Aware UDM (RA-UDM)
Adaptation of learning algorithms based on computational context and stream characteristics - Algorithm Output Granularity (AOG)
www.infotech.monash.edu/dsse44
Context-Aware Middleware for Data Streams
Adjustable adaptation strategies based on context and situation changes –of user, device, connectivity and application
www.infotech.monash.edu/dsse45
Research Projects – Web Services
• Web Services Reputation– Verity: a new QoS metric to be used in conjunction with
reputation– Rationale Analysis: models for inferring rationale of web
services ratings, determine collusion, deception as well as make personalised recommendations
• Web Services QoS– Predicting QoS Levels to Provide Differentiated Services– Pareto-Optimal Scheduler to Improve Quality of Business
(QoBiz) and Quality of Experience (QoE)• Pervasive Web Services
– Pervasive Service Discovery with Context and Semantics– Specifying, modeling and verifying context in service
contracts or service level agreements
www.infotech.monash.edu/dsse46
Research Projects - Intelligent Mobile Software Agents
• AMM – Agent Mobility Modelling
• CALMA – Context-Aware Mobile BDI Agents
• RAMMA – Resource-Aware Middleware for Mobile Agents
• BlueM – Mobile Agents over Bluetooth
www.infotech.monash.edu/dsse47
Dr. Chris Ling & Dr Maria Indrawan
• Main Research Interests: – Software Engineering, Specification languages, – Petri nets, Workflow analysis– Context-aware systems, Pervasive computing
• Two current projects:1. Device Ecology Workflow2. A Model of Mutual Awareness for Context-Aware Systems.
http://www.csse.monash.edu.au/~sling/ http://www.csse.monash.edu.au/~maria
www.infotech.monash.edu/dsse48
Device Ecology Project
• Supported by ARC (Australian Research Council) Discovery (2004-2006)
• To develop a framework for intelligent, mobile and context-aware devices to integrate, communicate and interact with each other.
• Device ecology:– A collection of devices (in the environment and on
users) interacting synergistically with one another, with users and with Internet resources, undergirdedby appropriate software and communicating across the environment.
www.infotech.monash.edu/dsse49
Device Ecology Workflow
• Device ecology encompasses device aggregation, service-oriented computing and workflow management studies.
• Decoflow (Device Ecology Workflow) - As a metaphor for thinking how collections of these devices can work together to accomplish a purpose.
• Web services as the communication channel– WSDL - defines services – BPEL4WS - coordinates services
• Decoflow engine which executed BPEL specification.
www.infotech.monash.edu/dsse50
Architecture
User Interface Level
Translator
Device Conversations Execution and Management
Device Ecology Workflow Engine
Device Ecology and Web Resources
User Inputs
High-level workflow (ECO Expressions)
BPEL4WS Specifications
Conversations
Service Calls
www.infotech.monash.edu/dsse51
Device Ecology Projects
• Students: 5 Master of IT (Minor Thesis) and 2 BComp(Honours).
• Project titles:– Analysis of comfort levels in a device ecology workflow.– Dynamic changes in device ecology workflow– Translating high-level workflow language to BPEL4WS– A synchronization strategy for device ecology workflows– Determining non-determinisms in workflow executions
based on contexts– Towards RFID-based user profiling– Adaptive Workflow for Devices based on context
www.infotech.monash.edu/dsse52
A Model for Mutual Awareness for Context-Aware Systems
• Interaction among devices based on Spatial Model of Interaction (Benford and Fahlen, 1993)
• Abstract concepts: Aura, Focus and Nimbus:– An Object A with a higher value or level of Focus over the
value or level of Nimbus of another Object B will be aware of Object B.
– An Object A with a higher value or level of Nimbus over the value or level of Focus of another Object B, will not allow Object B to be aware of Object A.
• To realise the abstract concepts to the real environment.
www.infotech.monash.edu/dsse53
Realising Aura for Initiating Interactions in Real Environments
• There are three considerations when mapping the abstract concepts into real environments:
– Aura Types> Needed to determine what type of interaction is to occur.
– Levels of Granularity in Modelling Auras> Affects the amount of control given to users for interactions
and services.– Collision Models
> Affects how collisions are detected in real environments.
• Involves 2 BComp (Honours) students and 1 MIT (minor thesis) student.
www.infotech.monash.edu/dsse54
Visualization of Concepts
www.infotech.monash.edu/dsse55
Aura Application
www.infotech.monash.edu/dsse56
Communication Model
www.infotech.monash.edu/dsse57
Dr Sita Ramakrishnan
• Research interests– Software engineering– Validation of distributed software components – Compliance and conformance testing of
software components – Validation of software testing tools – Concurrent and distributed systems and
software engineering – Component-based architectures and
development – O-O method, process, quality, metrics and
testing – Software engineering and web engineering – Web technologies in education and research
http://www.csse.monash.edu.au/~sitar/
www.infotech.monash.edu/dsse58
Virtual Research Lab: Monash University Software Engineering Services Architecture and Testing (MUSES-AT) Lab
• Component-based software engineering and software architectures have become a hallmark for distributed systems software development. Current research includes:
– service-oriented architectures for scalable real-time distributed systems and sensor grids
– design testable service-oriented software systems for sustainable manufacturing
– reliability, trustworthiness and context-awareness– architecture-driven modelling, model-driven verification, testing and
monitoring– aspect-orientation in component-based software– Identity Management
• Dr Sita Ramakrishnan, Clayton School of IT• Doctoral Students: Ms Nor Laily Hashim, Mr Dhaminda
Abeywickrama, Ms Susan Entwistle, Mrs Sreechandana Madiraju, Mr Daniel Rowley, Mr Quazi Mamun
www.infotech.monash.edu/dsse59
Dr Iqbal Gondal
• Research interests– Networking and
Communication – Information fusion – Ad hoc network networks – Gene Networks – On-line education – Technology transfer
http://www.gscit.monash.edu.au/gscitweb/index.php?type=i&id=44
www.infotech.monash.edu/dsse60
List of current research projects/activities, including any ARC grants
• Projects:– Sensor ad hoc networks for Cardiogenome monitoring of
cardiac patients– Self configuration for ad hoc sensor networks– Adaptive drug discovery monitoring using ad hoc networks– Vertical soft hand over for next generation wireless networks– Smart antenna for ad hoc networks– Genomic information fusion for post genomic knowledge
discovery– Sensor and actor networks for nursing homes
• ARC– Adaptive drug discovery monitoring using sensor ad hoc and
gene networks (800k) - pending
www.infotech.monash.edu/dsse61
Tailored Congenital Heart Patient Monitoring
The project would enable medical services providers to provide tailored, critical and cost effective care to the cardiac patients by utilizing their DNA profile to determine mutation levels in their selected genes. The intelligence of pervasive network and cardiac genome servers would ensure patient safety and continuous monitoring and at the same time would reduce false alarm for cardiac patients.
www.infotech.monash.edu/dsse62
Dr David Taniar
• Research interests:– XML databases– Object relational databases– Mobile databases– High performance parallel
databases– Grid databases– Data warehousing and
mining
http://users.monash.edu.au/~dtaniar/
www.infotech.monash.edu/dsse63
XML and Object-Relational Databases
• XML is a semi-structured data growingly used for data exchange on the web.
• Research areas:– XML query processing– XML storage and updates– XML warehousing
• Collaborators: W.Rahayu (La Trobe) and S.Bressan(NUS)
• PhD graduate: E.Pardede (La Trobe, 2007)• Book: Rahayu, Taniar, and Pardede, Object-Oriented
Oracle, 2006.
www.infotech.monash.edu/dsse64
Mobile Databases
• Mobile data access gives mobile devices capabilities to access data through wireless communications
• Research areas:– Mobile query processing– Mobile data broadcast
• PhD graduates: A.B.Waluyo (Monash, 2006)• Book: Taniar, Waluyo, and Srinivasan, Mobile Query
Processing, John Wiley & Sons, 2008.• Editorship: Mobile Information Systems (IOS Press,
The Netherlands)
www.infotech.monash.edu/dsse65
High Performance Parallel/Grid Databases
• Parallel/grid database processing makes use of parallel and gridcomputing in database access to achieve high performance.
• Research areas:– Parallel query processing– Grid databases– Semantic grid
• Collaborators: C.H.C.Leung (VU), W.Rahayu (La Trobe), and B.O.Apduhan(Japan)
• PhD graduates: A.Flahive (La Trobe, 2007), S.Goel (RMIT, 2005), and L.Tan (Monash, 2005)
• Book: Taniar, Leung, Rahayu and Goel, High Performance Database Processing and Grid Databases, John Wiley & Sons, 2008.
www.infotech.monash.edu/dsse66
• Early career researcher• Primary Research Interests
– Multimedia databases and multimedia retrieval systems
– Multimedia data mining– Quality of service in
networked multimedia delivery
Dr Campbell Wilson
http://beast.csse.monash.edu.au/~cwilson/wp/
www.infotech.monash.edu/dsse67
Current Research Projects (PhD)
• Samar ZutshiRelevance Feedback in Multimedia Systems
• Klangjai SithitavornQuality of Service Routing in MANETS
• Mylini MunusamyAdaptive Web Personalisation
• Gita Das• Low Level Feature Analysis in Content-based Image
Retrieval • Resmi Nair
Query-driven Conceptual Architectures for Data Warehouses (Thesis submitted)
• Harry NgoMobile Computing Authentication Models
• Noor Azilah DramanMetadata Representations for Content-based Audio Retrieval
www.infotech.monash.edu/dsse68
Relevance Feedback in Multimedia Systems
• With PhD Student Samar Zutshi • Recognise the utility of decoupling the relevance
feedback engine of content based retrieval systems from the retrieval engine. Model relevance feedback as a separate classificatory problem.
• This separation allows the feedback to be sent to multiple retrieval engines and also allow feedback on the retrieval engine itself.
• Suggest optimum retrieval strategies within a given model based on rough set analysis of user feedback.
• Within the framework, establish system-centric criteria for evaluation of retrieval results which can be used to suggest relevant multimedia databases to particular classes of user.
www.infotech.monash.edu/dsse69
Adaptive Web Personalisation
• With PhD Student Mylini Munusamy• Restructuring of web graphs as an optimisation problem.• Utilise syntactic (structural) properties of the graph in
addition to harvested behavioural attributes of users.• Behavioural attributes gathered on server and client side.• Content based attributes (e.g. tf/idf values)• How can learning algorithms be employed to suggest
web restructuring based on harvested attributes?• Extend to include attributes describing end user
browsing devices.• Goal is device/connection-adaptive and personalized web
site construction algorithms and designs.
www.infotech.monash.edu/dsse70
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