Adaptive performance prediction for distributed data-intensive applications
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Future Generation Computer Systems - Special issue on metacomputing
Implementing a performance forecasting system for metacomputing: the Network Weather Service
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
Host load prediction using linear models
Cluster Computing
Online Prediction of the Running Time of Tasks
Cluster Computing
Predicting Queue Times on Space-Sharing Parallel Computers
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
An Empirical Investigation of Load Indices for Load Balancing Applications
Performance '87 Proceedings of the 12th IFIP WG 7.3 International Symposium on Computer Performance Modelling, Measurement and Evaluation
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
An Evaluation of Linear Models for Host Load Prediction
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
MPICH-G2: a Grid-enabled implementation of the Message Passing Interface
Journal of Parallel and Distributed Computing - Special issue on computational grids
Resource signal prediction and its application to real-time scheduling advisors
Resource signal prediction and its application to real-time scheduling advisors
Estimating Computation Times in Data Intensive E-Services
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Analyzing Computer Systems Performance: With Perl: Pdq (Springer Professional Computing)
Analyzing Computer Systems Performance: With Perl: Pdq (Springer Professional Computing)
Predicting application run times with historical information
Journal of Parallel and Distributed Computing
Concurrency and Computation: Practice & Experience
Performance prediction and its use in parallel and distributed computing systems
Future Generation Computer Systems - Systems performance analysis and evaluation
Code Quality: The Open Source Perspective (Effective Software Development Series)
Code Quality: The Open Source Perspective (Effective Software Development Series)
The statistical properties of host load
Scientific Programming
Capacity planning and scheduling in Grid computing environments
Future Generation Computer Systems
Predict task running time in grid environments based on CPU load predictions
Future Generation Computer Systems
Time and space adaptation for computational grids with the ATOP-Grid middleware
Future Generation Computer Systems
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Specification and runtime workflow support in the ASKALON Grid environment
Scientific Programming - Dynamic Computational Workflows: Discovery, Optimization and Scheduling
Using historical accounting information to predict the resource usage of grid jobs
Future Generation Computer Systems
Cost profile prediction for grid computing
Concurrency and Computation: Practice & Experience
Perspectives on grid computing
Future Generation Computer Systems
Self-similarity: Behind workload reshaping and prediction
Future Generation Computer Systems
An enhanced load balancing mechanism based on deadline control on GridSim
Future Generation Computer Systems
Power-aware linear programming based scheduling for heterogeneous computer clusters
Future Generation Computer Systems
Towards autonomic detection of SLA violations in Cloud infrastructures
Future Generation Computer Systems
A family of heuristics for agent-based elastic Cloud bag-of-tasks concurrent scheduling
Future Generation Computer Systems
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The accurate prediction of load profiles of future job tasks on the nodes of a cluster or grid supplies vital information for the users to make CPU/Disk resource usage decisions. At present, the Unix five-second host load is collected and used to predict the host loads, but forecasting can be improved if CPU and Disk load data are collected separately for each user on each host. The Free Load Profile or footprint of a job task on a load free node is a necessary input to the proposed Performance Prediction Model. To this end, the Task Profiling Model for Load Profile Prediction is proposed, which forecasts the load profiles of job tasks of individual machines based on current and historical data. The data is collected by agents running on the nodes of the cluster/grid. The data so obtained aids in choosing the most suitable set of computers for the deployment of the tasks in time optimal manner. Also, accurately predicted load profiles are useful inputs to the cost prediction models. The Task Profiling Model has been implemented in a software framework and evaluated for its prediction accuracy.