NDLI: Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation

Content Provider	IEEE Xplore Digital Library
Author	Sugaya, Y. Tatsumi, H. Kobayashi, M. Aso, H.
Copyright Year	2008
Description	Author affiliation: Tohoku Univ., Sendai (Sugaya, Y.; Tatsumi, H.)
Abstract	There exist distributed processing environments composed of many heterogeneous computers. It is required to schedule distributed parallel processes in an appropriate manner. For the scheduling, prediction of execution load of a process is effective to exploit resources of environments. We propose long-term load prediction methods with references of properties of processes and of runtime predictions. Since an appropriate prediction method is different according to the situation, we propose a prediction module selection to select an appropriate prediction method according to a state of changing CPU load using a neural network. We also discuss about the implementation of a long-term CPU load prediction system, which provides information including prediction of load for schedulers, system administrators and users.
Starting Page	971
Ending Page	977
File Size	370891
Page Count	7
File Format	PDF
ISBN	9780769530956
ISSN	1550445X
DOI	10.1109/AINA.2008.135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prediction methods Processor scheduling Central Processing Unit Runtime Computer networks Neural networks Load management Resource management Timing Application software load balancing Long-Term CPU load prediction runtime prediction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Application-level software self-balancing

Long-Term CPU Load Prediction

Traveling token for dynamic load balancing

Experiments with CPU Scheduling Algorithm on a Computational Grid

Grid Load Balancing Using Ant Colony Optimization

Performance Evaluation of Scheduling Policies for Volunteer Computing

Workload utilization dissemination on grid resources for simulation environment

Scheduling Mixed-Architecture Processes in Tightly Coupled FPGA-CPU Reconfigurable Computers

Adaptive Load Balancing for Long-Range MD Simulations in A Distributed Environment

Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation

Similar Documents

Application-level software self-balancing

Long-Term CPU Load Prediction

Traveling token for dynamic load balancing

Experiments with CPU Scheduling Algorithm on a Computational Grid

Grid Load Balancing Using Ant Colony Optimization

Performance Evaluation of Scheduling Policies for Volunteer Computing

Workload utilization dissemination on grid resources for simulation environment

Scheduling Mixed-Architecture Processes in Tightly Coupled FPGA-CPU Reconfigurable Computers

Adaptive Load Balancing for Long-Range MD Simulations in A Distributed Environment

Long-Term CPU Load Prediction System for Scheduling of Distributed Processes and its Implementation