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Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
Current Result Document :
3
/ 3
ÀÌÀü°Ç
ÇѱÛÁ¦¸ñ(Korean Title)
¸ð¹ÙÀÏ Å¬¶ó¿ìµå ÄÄÇ»Æÿ¡¼ ¸ð¹ÙÀÏ ±â±âÀÇ ¿¡³ÊÁö Àý¾àÀ» À§ÇÑ ÇÔ¼ö ¼öÁØ Á¤Àû ¿ÀÇÁ·Îµù ±â¹ý
¿µ¹®Á¦¸ñ(English Title)
A Function Level Static Offloading Scheme for Saving Energy of Mobile Devices in Mobile Cloud Computing
ÀúÀÚ(Author)
¹ÎÈ«
Á¤Áø¸¸
ÇãÁØ¿µ
Hong Min
Jinman Jung
Junyoung Heo
¿ø¹®¼ö·Ïó(Citation)
VOL 42 NO. 06 PP. 0707 ~ 0712 (2015. 06)
Çѱ۳»¿ë
(Korean Abstract)
¸ð¹ÙÀÏ Å¬¶ó¿ìµå ÄÄÇ»ÆÃÀº ¸ð¹ÙÀÏ ±â±âÀÇ ÀÚ¿øÁ¦¾àÀûÀÎ ÇѰ踦 ±Øº¹Çϱâ À§ÇØ Å¬¶ó¿ìµå ¼ºñ½º¸¦ È°¿ëÇÏ´Â ±â¼ú·Î ¸ð¹ÙÀÏ ±â±â¿¡¼ ½ÇÇàÇØ¾ß ÇÒ ÀϺΠÀÛ¾÷À» Ŭ¶ó¿ìµå¿¡¼ ¼öÇàÇÏ°Ô ÇÏ´Â ÄÄÇ»Å×ÀÌ¼Ç ¿ÀÇÁ·Îµù ±â¹ýÀÌ »ç¿ëµÈ´Ù. ¿ÀÇÁ·Îµù¿¡ ÇÊ¿äÇÑ Åë½Å ºñ¿ëº¸´Ù ¸ð¹ÙÀÏ ±â±â ³»¿¡¼ÀÇ ¿¬»ê ºñ¿ëÀÌ Å¬ °æ¿ì ¸ð¹ÙÀÏ ±â±â´Â Ŭ¶ó¿ìµå¿¡°Ô ÀÛ¾÷ ¼öÇàÀ» À§Å¹ÇÑ´Ù. ¸ð¹ÙÀÏ ±â±â¿¡¼ ¼öÇàÇÒ ÀÛ¾÷°ú Ŭ¶ó¿ìµå¿¡¼ ¼öÇàÇÒ ÀÛ¾÷À» ºÐÇÒÇϱâ À§ÇÑ ±âÁ¸ÀÇ ºñ¿ë ºÐ¼® ¸ðµ¨Àº ÇÔ¼ö È£Ãâ¿¡ ÇÊ¿äÇÑ µ¥ÀÌÅÍ Àü¼Û°ú ÀÀ´ä ½Ã°£¸¸À» ¿ÀÇÁ·Îµù ºñ¿ëÀ¸·Î »êÁ¤ÇÏ¿´´Ù. º» ³í¹®¿¡¼´Â ÄÄÇ»Å×ÀÌ¼Ç ¿ÀÇÁ·Îµù ºñ¿ë »êÃ⠽à ÇÔ¼öÀÇ È£Ãâ ¹× ÀÀ¿ë ÇÁ·Î±×·¥ÀÇ µ¿±âÈ ºóµµ¸¦ °í·ÁÇÑ ÀÛ¾÷ ºÐÇÒ ±â¹ýÀ» Á¦¾ÈÇÏ¿´°í ½ÇÇèÀ» ÅëÇØ ±âÁ¸ÀÇ ±â¹ýµé¿¡ ºñÇØ ¿¡³ÊÁö È¿À²¼ºÀ» ³ôÀÏ ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
Mobile cloud computing is a technology that uses cloud services to overcome resource constrains of a mobile device, and it applies the computation offloading scheme to transfer a portion of a task which should be executed from a mobile device to the cloud. If the communication cost of the computation offloading is less than the computation cost of a mobile device, the mobile device commits a certain task to the cloud. The previous cost analysis models, which were used for separating functions running on a mobile device and functions transferring to the cloud, only considered the amount of data transfer and response time as the offloading cost. In this paper, we proposed a new task partitioning scheme that considers the frequency of function calls and data synchronization, during the cost estimation of the computation offloading. We also verified the energy efficiency of the proposed scheme by using experimental results.
Å°¿öµå(Keyword)
¸ð¹ÙÀÏ Å¬¶ó¿ìµå ÄÄÇ»ÆÃ
ÄÄÇ»Å×ÀÌ¼Ç ¿ÀÇÁ·Îµù
ÀÛ¾÷ ºÐÇÒ
¿¡³ÊÁö È¿À²¼º
mobile cloud computing
computation offloading
task partitioning
energy efficiency
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