Linux page fault analysis in android systems
In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Orlando, A. [verfasserIn] Amato, P. [verfasserIn] Caraccio, D. [verfasserIn] Cinque, M. [verfasserIn] Izzi, R. [verfasserIn] Mirichigni, G. [verfasserIn] Porzio, L. [verfasserIn] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Microprocessors and microsystems - Amsterdam [u.a.] : Elsevier, 1979, 66, Seite 10-18 |
|---|---|
| Übergeordnetes Werk: |
volume:66 ; pages:10-18 |
| DOI / URN: |
10.1016/j.micpro.2019.01.006 |
|---|
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| 520 | |a In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. | ||
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10.1016/j.micpro.2019.01.006 doi (DE-627)ELV00186212X (ELSEVIER)S0141-9331(18)30225-4 DE-627 ger DE-627 rda eng 510 DE-600 53.55 bkl 54.31 bkl Orlando, A. verfasserin aut Linux page fault analysis in android systems 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. Storage Mobile Page fault Android Linux Amato, P. verfasserin (orcid)0000-0002-9601-1462 aut Caraccio, D. verfasserin aut Cinque, M. verfasserin aut Izzi, R. verfasserin aut Mirichigni, G. verfasserin aut Porzio, L. verfasserin aut Enthalten in Microprocessors and microsystems Amsterdam [u.a.] : Elsevier, 1979 66, Seite 10-18 Online-Ressource (DE-627)271175982 (DE-600)1479003-8 (DE-576)251938107 nnns volume:66 pages:10-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.55 Mikroelektronik 54.31 Rechnerarchitektur AR 66 10-18 |
| spelling |
10.1016/j.micpro.2019.01.006 doi (DE-627)ELV00186212X (ELSEVIER)S0141-9331(18)30225-4 DE-627 ger DE-627 rda eng 510 DE-600 53.55 bkl 54.31 bkl Orlando, A. verfasserin aut Linux page fault analysis in android systems 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. Storage Mobile Page fault Android Linux Amato, P. verfasserin (orcid)0000-0002-9601-1462 aut Caraccio, D. verfasserin aut Cinque, M. verfasserin aut Izzi, R. verfasserin aut Mirichigni, G. verfasserin aut Porzio, L. verfasserin aut Enthalten in Microprocessors and microsystems Amsterdam [u.a.] : Elsevier, 1979 66, Seite 10-18 Online-Ressource (DE-627)271175982 (DE-600)1479003-8 (DE-576)251938107 nnns volume:66 pages:10-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.55 Mikroelektronik 54.31 Rechnerarchitektur AR 66 10-18 |
| allfields_unstemmed |
10.1016/j.micpro.2019.01.006 doi (DE-627)ELV00186212X (ELSEVIER)S0141-9331(18)30225-4 DE-627 ger DE-627 rda eng 510 DE-600 53.55 bkl 54.31 bkl Orlando, A. verfasserin aut Linux page fault analysis in android systems 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. Storage Mobile Page fault Android Linux Amato, P. verfasserin (orcid)0000-0002-9601-1462 aut Caraccio, D. verfasserin aut Cinque, M. verfasserin aut Izzi, R. verfasserin aut Mirichigni, G. verfasserin aut Porzio, L. verfasserin aut Enthalten in Microprocessors and microsystems Amsterdam [u.a.] : Elsevier, 1979 66, Seite 10-18 Online-Ressource (DE-627)271175982 (DE-600)1479003-8 (DE-576)251938107 nnns volume:66 pages:10-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.55 Mikroelektronik 54.31 Rechnerarchitektur AR 66 10-18 |
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10.1016/j.micpro.2019.01.006 doi (DE-627)ELV00186212X (ELSEVIER)S0141-9331(18)30225-4 DE-627 ger DE-627 rda eng 510 DE-600 53.55 bkl 54.31 bkl Orlando, A. verfasserin aut Linux page fault analysis in android systems 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. Storage Mobile Page fault Android Linux Amato, P. verfasserin (orcid)0000-0002-9601-1462 aut Caraccio, D. verfasserin aut Cinque, M. verfasserin aut Izzi, R. verfasserin aut Mirichigni, G. verfasserin aut Porzio, L. verfasserin aut Enthalten in Microprocessors and microsystems Amsterdam [u.a.] : Elsevier, 1979 66, Seite 10-18 Online-Ressource (DE-627)271175982 (DE-600)1479003-8 (DE-576)251938107 nnns volume:66 pages:10-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.55 Mikroelektronik 54.31 Rechnerarchitektur AR 66 10-18 |
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10.1016/j.micpro.2019.01.006 doi (DE-627)ELV00186212X (ELSEVIER)S0141-9331(18)30225-4 DE-627 ger DE-627 rda eng 510 DE-600 53.55 bkl 54.31 bkl Orlando, A. verfasserin aut Linux page fault analysis in android systems 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. Storage Mobile Page fault Android Linux Amato, P. verfasserin (orcid)0000-0002-9601-1462 aut Caraccio, D. verfasserin aut Cinque, M. verfasserin aut Izzi, R. verfasserin aut Mirichigni, G. verfasserin aut Porzio, L. verfasserin aut Enthalten in Microprocessors and microsystems Amsterdam [u.a.] : Elsevier, 1979 66, Seite 10-18 Online-Ressource (DE-627)271175982 (DE-600)1479003-8 (DE-576)251938107 nnns volume:66 pages:10-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 53.55 Mikroelektronik 54.31 Rechnerarchitektur AR 66 10-18 |
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In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. |
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In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. |
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In modern smartphones, system performances are tightly related to a variety of underlying subsystems. In particular, internal storage, along the years, has become crucial because it is extensively used to access content relevant to the system and, finally, to the end user. To understand its role in a commercial Android smartphone and to evaluate its effects on the User experience, within the context of a real usage, we analyzed Linux page fault handling, a critical mechanism that puts pressure on storage devices and may cause system inefficiencies. A kernel tracing technique has been conceived for real-time measurement of Android applications and services on commercial smartphones. The experimental results presented in this work are derived from the use of this kernel tracing on a 64-bit Android smartphone, equipped with a ufs storage subsystem. The main subject of the study is major page fault handling, a kernel mechanism behind many end-user actions recognized at industry level as source of possible performance deterioration in a smartphone. The analysis shows that major page fault handling is dominated by read accesses to ufs (between 30% and 40% of the total time), and that the related storage traffic is significantly affected by the ReadAhead mechanism, which is not always efficient. |
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