NDLI: Predictive Model-Based Thermal Management for Network Applications

Content Provider	IEEE Xplore Digital Library
Author	Jilong Kuang Bhuyan, L.
Copyright Year	2011
Abstract	As processor power density has increased at an alarming rate, chip/core temperature control becomes critical in satisfying given thermal constraint and avoiding hotspots. Unlike "run-to-finish" applications whose temperature will simply rise to saturation point and then stabilize, network applications do periodic packet processing, which causes temperature to rise and fall over time. However, no existing studies have focused on characterizing the temperature variation for periodic tasks. We envision that volatile thermal behavior has to be well understood in order to optimize thermal management. In this paper, we first build a novel predictive thermal model for generic periodic tasks running on a single core. This model can dynamically derive the core temperature at any time quickly and accurately. To verify the model, we use both Hot Spot simulator and a real Linux machine to run six network applications chosen from Net Bench. Then, we propose an online model update strategy using on-chip thermal sensors, which can effectively correct incidental errors by adjusting model parameters "on-the-fly". Finally, by combining the thermal model and the online update, we design, implement and evaluate a predictive model-based thermal management scheme on an Intel Xeon E5335 core for network applications based on the Stop & Go technique. Compared with two other alternatives, our scheme achieves lower temperature, higher throughput, no thermal constraint violation, and negligible overhead cost.
Starting Page	57
Ending Page	68
File Size	1973611
Page Count	12
File Format	PDF
ISBN	9781457714542
DOI	10.1109/ANCS.2011.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Temperature Predictive models Thermal management Predictive thermal model thermal management technique Mathematical model Equations periodic tasks
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 Libarray 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

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