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chiayingcool
Basic Member
 

¥[¤J¤é´Á: Feb 2006
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1.Web-Conscious Storage Management for Web Proxies

2.user-level disk management

3.Using realistic trace-driven simulations we show that the proxy¡¦s

4.secondary storage I/O throughput can be improved by a factor of 18,
enabling a single-disk proxy to serve around 500 (URL-get) operations per
second.


5.Our experimental evaluation suggests that Foxy outperforms
traditional proxies such as SQUID by more than a factor of 7 under heavy
load.

6.non-caching mode

7.proof-of-concept proxy server

8.cache miss

9.data-locality

10.Most of the meta-data overhead that cripples web proxy performance can
be traced to the storage of each URL
in a separate file.

11.To eliminate this performance bottleneck we propose a novel URL-grouping
method (called
BUDDY), in which we store all the URLs into a small number of files.

12.Towards this end, we develop a file-space management algorithm (called
STREAM) that (much-like log-structured file systems) streams write
operations to the disk: The web proxy stores all URLs in a single file
organized in slots of 512 bytes long. Each URL occupies an integer number
of (usually) contiguous slots.

13.LAZY-READS technique

14.NURL

15.consider the case of an HTML page that contains several embedded
images.

16.A first step towards improving the performance of read operations,
LAZYREADS, reduce this overhead by clustering several read operations
and by sending them to the disk together. This
grouping of read requests not only reduces the disk head ping-pong effect
but also presents the system with better
opportunities for disk head scheduling.

17.ping-pong effect


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ÂÂ 2006-10-10, 02:09 PM #1
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ÂÂ 2006-10-10, 04:06 PM #2
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¥[¤J¤é´Á: Oct 2006
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¹Á¸Õ½Ķ¡A®É¶¡µu«P¡AÃø§K¦³¿ù¡A±æ¨£½Ì¡C

1.Web-Conscious Storage Management for Web Proxies
¥Î©ó¥N²z¥D¾÷¤§ºô¸ô¥i·NÃÑ«¬Àx¦sºÞ²z

2.user-level disk management
¥Î¤áµ¥¯ÅªººÏºÐºÞ²z

3.Using realistic trace-driven simulations we show that the proxy¡¦s
¨Ï¥Î¥i¦æªº°lÂÜÅX°Ê¼ÒÀÀ¡A§Ú­Ì®i¥Ü¥N²z¥D¾÷ªº...

4.secondary storage I/O throughput can be improved by a factor of 18, enabling a single-disk proxy to serve around 500 (URL-get) operations per second.
»²§U¡]©Î¥s¤G¯Å¡^°O¾ÐÊ^¿é¤J/¿é¥X¿é³e¶q¥i¥H³q¹L18¦]¤l/¦]¯À±o¥H§ïµ½¡A¨Ï±o³æ¤@ºÏºÐ¥N²z¥D¾÷¨C¬íÄÁ¬°¤j¬ù500¡]Àò±oURL¡^¶µ§@·~´£¨ÑªA°È¡C

5.Our experimental evaluation suggests that Foxy outperforms traditional proxies such as SQUID by more than a factor of 7 under heavy load.
§Ú­Ìªº¹êÅçµû¦ôÅã¥Ü¡A¦b¤j­t²ü¸ü¤J¶qª¬ªp¤U¡AFoxy³Ó¹L½Ñ¦pSQUID¤@Ãþ¶Ç²Îªº¥N²z¦øªA¾¹7¦]¤l/¦]¯À¡C

6.non-caching mode
«D§Ö¨ú¼ÒºA

7.proof-of-concept proxy server
¥N²z¦øªA¾¹

8.cache miss
°ª³t½w½ÄÀx¦s¾¹¿òº|

9.data-locality
¸ê®Æ§½³¡©Ê

10.Most of the meta-data overhead that cripples web proxy performance can be traced to the storage of each URL in a separate file.
¤j³¡¤À¤¸¸ê®Æ®z¤Æºô¸ô¥N²z¥D¾÷¤§ªí²{¤Oªº¤¾¾l¤u§@¡A¥i¥H°lÂܦܤ@­Ó³æ¿WªºÀɮפ¤¨C­ÓURL¤§Àx¦s¡C

11.To eliminate this performance bottleneck we propose a novel URL-grouping method (called BUDDY), in which we store all the URLs into a small number of files.
¬°®ø°£³oºØ²~ÀV¡A§Ú­Ì´£Ä³¤@ºØ·s«¬URL½s²Õ¤è¦¡¡]ºÙ爲BUDDY¡^¡A§Q¥Î³oºØ¤è¦¡¡A§Ú­Ì±N©Ò¦³URLÀx¦s¨ì¤Ö¼Æ´X­ÓÀÉ®×内¡C

12.Towards this end, we develop a file-space management algorithm (called STREAM) that (much-like log-structured file systems) streams write operations to the disk: The web proxy stores all URLs in a single file organized in slots of 512 bytes long. Each URL occupies an integer number of (usually) contiguous slots.
爲¤F§¹¦¨³o¶µ¤u§@¡A§Ú­Ì¶}µo¥X¤@ºØÀɮתŶ¡ºÞ²zºtºâªk¡]¥s°µSTREAM¡^¡A³oºØºtºâªk¡]«Ü¹³¤é»xµ²ºcÀɮרt²Î¡^¡AÅý¬y³q¹L¼g¾Þ§@±N§@·~¼g¤JºÏºÐ¡G¥N²z¥D¾÷¦b¤@­Ó²Õ´¦b512¼Æ¤¸²Õªø«×ªººÏ®æ¤¤ªº³æ¤@ÀÉ®×内¡AÀx¦s©Ò¦³ªºURL¡C¨C­ÓURL¡]³q±`¡^¦û¥Î¤@­Ó¾ã¼Æ¾F±µºÏ®æ¡C

13.LAZY-READS technique
¡]ª`¡G¦pªGLAZY¤£¬O¤@ºØÁY²¤¦¡ªº¸Ü¡^Ãi´k¦¡Åª¨ú§Þ³N

14.NURL
©êºp¡A¥¼¯à½Ķ¥X¡C¦pªG¬OINURL¡A¬°­­©w¦bURL¤¤·j´M¡C

15.consider the case of an HTML page that contains several embedded images.
³]·Q¤@­ÓHTML­¶­±ªº­Ó®×¡A³o­Ó­¶­±内´O¦³¼Æ±iªº¹Ï¤ù¡C

16.A first step towards improving the performance of read operations, LAZYREADS, reduce this overhead by clustering several read operations and by sending them to the disk together. This
grouping of read requests not only reduces the disk head ping-pong effect but also presents the system with better opportunities for disk head scheduling.
§ïµ½Åª¨ú§@·~ªº²Ä¤@¨B¡AÃi´k¦¡Åª¨ú¡A³q¹LÂO¶°¼Æ­ÓŪ¨ú§@·~¡A¨Ã±N¨ä¤@¨Öµo°e¦ÜºÏºÐ¡A´î¤Ö¤¾¾l/ºÏºÐÃB¥~¶}¾P¡C³oºØÅª¨úªº¤À²Õ¡A¤£¶È­n¨D´î¤ÖºÏÀYªº¥æ´À§@¥Î¡A¦P®É¨t²Î¤]Àò±o§ó¨Î¾÷·|¶i¦æºÏÀY§@·~±Æµ{¡C

17.ping-pong effect
¥æ´À³N§@¥Î
ÂÂ 2006-10-10, 04:52 PM #3
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chiayingcool
Basic Member
 

¥[¤J¤é´Á: Feb 2006
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ÂÂ 2006-10-10, 04:55 PM #4
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chiayingcool
Basic Member
 

¥[¤J¤é´Á: Feb 2006
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¤Þ¥Î:
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1.Web-Conscious Storage Management for Web Proxies
¥Î©ó¥N²z¥D¾÷¤§ºô¸ô¥i·NÃÑ«¬Àx¦sºÞ²z

2.user-level disk management
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3.Using realistic trace-driven simulations we show that the proxy¡¦s
¨Ï¥Î¥i¦æªº°lÂÜÅX°Ê¼ÒÀÀ¡A§Ú­Ì®i¥Ü¥N²z¥D¾÷ªº...

4.secondary storage I/O throughput can be improved by a factor of 18, enabling a single-disk proxy to serve around 500 (URL-get) operations per second.
»²§U¡]©Î¥s¤G¯Å¡^°O¾ÐÊ^¿é¤J/¿é¥X¿é³e¶q¥i¥H³q¹L18¦]¤l/¦]¯À±o¥H§ïµ½¡A¨Ï±o³æ¤@ºÏºÐ¥N²z¥D¾÷¨C¬íÄÁ¬°¤j¬ù500¡]Àò±oURL¡^¶µ§@·~´£¨ÑªA°È¡C

5.Our experimental evaluation suggests that Foxy outperforms traditional proxies such as SQUID by more than a factor of 7 under heavy load.
§Ú­Ìªº¹êÅçµû¦ôÅã¥Ü¡A...


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cmwang
Elite Member
 

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3.Using realistic trace-driven simulations we show that the proxy¡¦s
¨Ï¥Î¥i¦æªº°lÂÜÅX°Ê¼ÒÀÀ¡A§Ú­Ì®i¥Ü¥N²z¥D¾÷ªº...

4.secondary storage I/O throughput can be improved by a factor of 18, enabling a single-disk proxy to serve around 500 (URL-get) operations per second.
»²§U¡]©Î¥s¤G¯Å¡^°O¾ÐÊ^¿é¤J/¿é¥X¿é³e¶q¥i¥H³q¹L18¦]¤l/¦]¯À±o¥H§ïµ½¡A¨Ï±o³æ¤@ºÏºÐ¥N²z¥D¾÷¨C¬íÄÁ¬°¤j¬ù500¡]Àò±oURL¡^¶µ§@·~´£¨ÑªA°È¡C


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5.Our experimental evaluation suggests that Foxy outperforms traditional proxies such as SQUID by more than a factor of 7 under heavy load.
§Ú­Ìªº¹êÅçµû¦ôÅã¥Ü¡A¦b¤j­t²ü¸ü¤J¶qª¬ªp¤U¡AFoxy³Ó¹L½Ñ¦pSQUID¤@Ãþ¶Ç²Îªº¥N²z¦øªA¾¹7¦]¤l/¦]¯À¡C


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17.ping-pong effect
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ÂÂ 2006-10-10, 10:11 PM #6
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¦¹¤å³¹©ó 2006-10-10 10:39 PM ³Q ¸­§Q ½s¿è.
ÂÂ 2006-10-10, 10:36 PM #7
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cmwang
Elite Member
 

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ÂÂ 2006-10-10, 11:48 PM #8
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ÂÂ 2006-10-11, 01:07 AM #9
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chiayingcool
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