Comparison of FOSS based profiling tools in Linux operating system environment

Debbarma, Tribid; Chandrasekaran, K.

doi:10.1109/ic3i.2016.7917936

Cited by 2 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this experiment, we use the perf 3 command 41,42 to access hardware performance counters, particularly counters for monitoring cache memory. Perf is a powerful open source performance monitoring tool, available in linux kernel, for tracking system events both hardware and software using a command line interface.…”

Section: Resultsmentioning

confidence: 99%

Population size influence on the energy consumption of genetic programming

Álvarez

Castillo

Vega

et al. 2022

Measurement and Control

View full text Add to dashboard Cite

Evolutionary Algorithms (EAs) are routinely applied to solve a large set of optimization problems. Traditionally, their performance in solving those problems is analyzed using the fitness quality and computing time, and the effect of evolutionary operators on both metrics is routinely used to compare different versions of EAs. Nevertheless, scientists face nowadays the challenge of considering the energy efficiency in addition to computational time, which requires studying the energy consumption of algorithms. This paper discusses the interest of introducing power consumption as a new metric to analyze the performance of standard genetic programming (GP). Two well-studied benchmark problems are addressed on three different computing platforms, and two different approaches to measure the power consumption have been tested. Analyzing the population size, the results demonstrates its influence on the energy consumed: a non-linear relationship was found between size and energy required to complete an experiment. This analysis was extended to the cache memory and results show an exponential growth in the number of cache misses as the population size increases, which affects the energy consumed. This study shows that not only computing time or solution quality must be analyzed, but also the energy required to find a solution. Summarizing, this paper shows that when GP is applied, specific considerations on how to select parameter values must be taken into account if the goal is to obtain solutions while searching for energy efficiency. Although the study has been performed using GP, we foresee that it could be similarly extended to EAs.

show abstract

Section: Resultsmentioning

confidence: 99%

Population size influence on the energy consumption of genetic programming

Álvarez

Castillo

Vega

et al. 2022

Measurement and Control

View full text Add to dashboard Cite

show abstract

“…With the change of gear contraptions and correspondence advancement, demonstrateddeviceshavestartingatnowgetintovariousspace,forinstance,life,industry,national demand,helpfultreatmentetcetera.Remote,vehicle-mountedstructure,switch,shockinghome,et ceteraarepersistingdemonstratedcontraptions.TheprogressionofInternetofThingsmakestheuse ofshowedcontraptionsessentiallywiderandmorecrucialmechanicalget-togetherinterfacesinto coordinate.So,thesecurityissuesofexhibitedstructuregetdependablythought (Tavana,Khameneh, &Goudarzi,2015).Thesesecuritythreatshavechangedintoaprincipalissueatshowupinlightof thecoursethatbyawideedgebyfarasubstantialsegmentofthedemonstratedstructuresrequire securityinageneralsensemorethanPCs.Oneelucidationforthisnonappearanceofsecurityisthe particularobligedhardwareandprogrammingusedecisionsforthemakersofembeddedstructure affiliations (Hou,Li,&Chang,2017).Thedeferralappearedbythestructureessentiallyimpactsthe systemexecutioncanbeoverseenbydifferentQualityofService(QoS)levels(Anik,MinhazulHoque, &Akter)Modelersofjoinedcircuitsturnresuscitatingthelikelihoodoftheirthingsreviewinga completeobjectivetodiminishtheirabilityutilize,whichresultsinamoreextendedbatterylength (Franchino&Buttazzo,2017,Negi,Mishra,&Gupta,2013. Powerconsumptionplaysmajorroleinembeddedsystemsparticularlyyetitsexecutioninthe gearisresponsibleforessentialnessusage.Programming'simperativenessusedependsuponhow noteworthybitsofthethingprogramgettothestructureresourcesatthetimeofexecution.So,we shouldtakebrilliantcarewhilemakingprogrammingbytechniquesforusingclearfitapproachand strategy (Sanchez-Oroetal.,2017,Gupta,Gupta,&Chaudhary,2017.Thisisakeyissueinsetting ofthepartsofembeddedsystemsinvariousmissionandsecuritykeystructures.Strikesonfrontline structuresareseemedtocausephysicaldamages.Undeniablesubstances,forinstance,structurescale, resourceconfinements,thebotherofphysicalsecurity,andcostthoughtallmakeitastoundingly hardtogetthem,particularlyforcontraptionswithremotecontrol,upkeepandundertakinglimits (Debbarma & Chandrasekaran, 2016). Android is the most in certainty understood versatile OS with85%ofbitofthepie.ItisarepairedLinux-basedopensourceversatileworkingstructurefor phones (Pereira,Dupont,Carvalho&Jucá,2018).Theabilitytogettoremoteresources(likecamera, messages,contactsandWi-Fiinformation)throughapplicationprogramminginterface(API)has invigoratedtheapplicationheadwayprocessunderstandingafar-reachingnumberoforganizations (Gupta,2018).Centralresourceaccessibilitynearadvancementinapplicationusewithoutbeguiling securitycaremaycausespillageofcustomer'sprivateortrickyinformationandcashrelatedhardship (Rubanov&Silakov,2014).RaspberryPiofcoursewithbyawideedgemostbyfaroftheothers Linuxbasedintroducedstructures,forinstance,ArduinoYunBeagleBoneBlackandIntelGalileo displayscentralfocuseslikebettercostorfantasticpositiondegree (Gupta,Agrawal,&Yamaguchi, 2016).morenoticeablecustomercreate,standardprogrammingtongueandcorrespondence,various dataoryieldpinsandsensibleinterface (Thanigaivelanetal.,2018,Plagerasetal.,2018.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm

Shanthaveeraiah¹,

Balasubramani²

2020

International Journal of Embedded and Real-Time Communication Systems

View full text Add to dashboard Cite

Recently, Android is being integrated and applied to various embedded systems because of good characteristics like open source, a wide connective range, multitasking, and secure communications. Most of the modern embedded designers have been focused on system performance while reducing operating power consumption. However, increasing the performance level inevitably increases power consumption. In this article, an optimal power management (OPM) system is proposed for embedded systems using a novel scheduling algorithm. It can control the operating power consumption of open source platforms (Raspberry-PI, Parallella, and Arduino) supported hardware devices (ZynqBerry, ZynqParallela, and ArduZynq). The proposed OPM system uses the scheduling algorithm based on the functionality of optimization and their tasks. Moreover, the proposed OPM system provides the low or high frequency to the devices upon receiving the low frequency and high frequency request from the devices. The simulation result is calculated in terms power consumption, maximum operating frequency and hardware utilization.

show abstract

Comparison of FOSS based profiling tools in Linux operating system environment

Cited by 2 publications

References 9 publications

Population size influence on the energy consumption of genetic programming

Population size influence on the energy consumption of genetic programming

Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm

Contact Info

Product

Resources

About