TY - JOUR
T1 - Research directions in energy-sustainable cyberphysical systems
AU - Gupta, Sandeep
AU - Mukherjee, Tridib
AU - Varsamopoulos, Georgios
AU - Banerjee, Ayan
N1 - Funding Information:
This work was funded in parts by NSF ( CNS#0855277 , CSR#0834797 , CNS#0831544 ), Intel Corp., Science Foundation of Arizona (SFAz), and Raytheon Corp.
Funding Information:
Sandeep K.S. Gupta is a Professor in the School of Computing, Informatics, and Decision Systems Engineering (SCIDSE), Arizona State University, Tempe, USA. He received the B.Tech degree in Computer Science and Engineering (CSE) from Institute of Technology, Banaras Hindu University, Varanasi, M.Tech. degree in CSE from Indian Institute of Technology, Kanpur, and M.S. and Ph.D. degree in Computer and Information Science from Ohio State University, Columbus, OH. His current research is focused on cyber–physical systems with emphasis on green computing, pervasive healthcare, and criticality-aware systems. Gupta's research awards include a best 2009 SCIDSE senior researcher and a best paper award. His research has been supported by Science Foundation of Arizona, National Science Foundation, National Institutes of Health, Intel Corp., Raytheon Missile Systems, and Northrop Grumman Corp. He currently serves on several editorial boards including IEEE Transactions on Parallel and Distributed Systems, Springer Wireless Networks, Elsevier Sustainable Computing, IEEE Communication Letters. Gupta has served on several program committees, including Percom and Wireless Health, chair/co-chaired several workshops and conferences, including Greencom and BodyNets, and co-edited several special issues for various journals and magazines, including IEEE Transactions on Computers and IEEE Pervasive Computing. He is currently co-guest editor for a IEEE Proceedings special issue on cyber–physical systems, and he is on program committees for Body Sensor Networks (BSN 2011) and 2nd IEEE/ACM Int’l Conference on Cyber–Physical Systems (ICCPS 2011). Gupta is a senior member of IEEE and heads the Impact Lab ( http://impact.asu.edu ) at ASU.
PY - 2011/3
Y1 - 2011/3
N2 - An overview of sustainable computing is provided and different approaches towards design and verification of energy-sustainable computing (i.e., sustainable computing from energy consumption perspective) are discussed for cyberphysical systems (CPSs), i.e., systems with strong coupling between computing components and non-computing processes in physical environment. A major issue in this regard is the inter-dependencies of the non-computing processes on the computing components and vice versa, and the verification of the CPSs sustainability without real deployment. The trends and dependencies of energy consumption for both computing and non-computing components are conceptualized. Based on this conceptualization, CPS resource management algorithms are categorized according to: (i) computing workload execution and arrival profiles supported, (ii) knowledge of workload profiles during management decision making, (iii) support of power management in the computing components, and (iv) assumptions on non-computing process behavior. These categories are then discussed along with their pros and cons for two representative CPSs: data centers and body sensor networks (BSNs). A model based engineering approach is used to verify CPS sustainability before real deployment. Several research directions and open problems are further discussed for the design and verification of energy-sustainable CPSs.
AB - An overview of sustainable computing is provided and different approaches towards design and verification of energy-sustainable computing (i.e., sustainable computing from energy consumption perspective) are discussed for cyberphysical systems (CPSs), i.e., systems with strong coupling between computing components and non-computing processes in physical environment. A major issue in this regard is the inter-dependencies of the non-computing processes on the computing components and vice versa, and the verification of the CPSs sustainability without real deployment. The trends and dependencies of energy consumption for both computing and non-computing components are conceptualized. Based on this conceptualization, CPS resource management algorithms are categorized according to: (i) computing workload execution and arrival profiles supported, (ii) knowledge of workload profiles during management decision making, (iii) support of power management in the computing components, and (iv) assumptions on non-computing process behavior. These categories are then discussed along with their pros and cons for two representative CPSs: data centers and body sensor networks (BSNs). A model based engineering approach is used to verify CPS sustainability before real deployment. Several research directions and open problems are further discussed for the design and verification of energy-sustainable CPSs.
KW - Cyberphysical systems
KW - Model-based engineering
KW - Sustainability
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U2 - 10.1016/j.suscom.2010.10.003
DO - 10.1016/j.suscom.2010.10.003
M3 - Review article
AN - SCOPUS:79953837952
SN - 2210-5379
VL - 1
SP - 57
EP - 74
JO - Sustainable Computing: Informatics and Systems
JF - Sustainable Computing: Informatics and Systems
IS - 1
ER -