Peter Strazdins
Australian National University
95 Papers
556 Citations
Peter Strazdins is an academic researcher from Australian National University. The author has contributed to research in topics: Cloud computing & Scalability. The author has an hindex of 15, co-authored 92 publications. Previous affiliations of Peter Strazdins include Commonwealth Scientific and Industrial Research Organisation.
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Papers
IOTSim: A simulator for analysing IoT applications
Xuezhi Zeng,Saurabh Garg,Peter Strazdins,Prem Prakash Jayaraman,Dimitrios Georgakopoulos,Rajiv Ranjan +5 more
TL;DR: IOTSim is designed and implemented which supports and enables simulation of IoT big data processing using MapReduce model in cloud computing environment and validates the efficacy of the simulator.
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•Posted Content
City Data Fusion: Sensor Data Fusion in the Internet of Things
Meisong Wang,Charith Perera,Prem Prakash Jayaraman,Miranda Zhang,Peter Strazdins,Rajiv Ranjan +5 more
TL;DR: The authors introduce the concept of IoT and present in detail ten different parameters that govern the sensor data fusion evaluation framework, which is evaluated against the current state-of-the art in sensorData fusion against this framework.
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Investigating decision support techniques for automating Cloud service selection
Miranda Zhang,Rajiv Ranjan,Armin Haller,Dimitrios Georgakopoulos,Peter Strazdins +4 more
- 03 Dec 2012
TL;DR: A PhD thesis proposal on investigating an intelligent decision support system for selecting Cloud-based infrastructure services (e.g. storage, network, CPU) and decision support tools and techniques, which will automate and map users' specified application requirements to Cloud service configurations.
Application Level Fault Recovery: Using Fault-Tolerant Open MPI in a PDE Solver
Mohsin Ali,James Southern,Peter Strazdins,Brendan Harding +3 more
- 19 May 2014
TL;DR: The contributed implementation details, including the analysis of the experimental results, of this paper will help application developers to resolve different issues of design and implementation of fault-tolerant applications by means of the Open MPI ULFM standard.
An Infrastructure Service Recommendation System for Cloud Applications with Real-time QoS Requirement Constraints
TL;DR: A real-time QoS-aware multicriteria decision-making technique that builds over the well-known analytic hierarchy process method is presented, applicable to selecting Infrastructure as a Service (IaaS) cloud offers, and it allows users to define multiple design-time and real- time QoS constraints or requirements.