TY - JOUR
T1 - Opportunistic task scheduling over Co-located clouds in mobile environment
AU - Chen, Min
AU - Hao, Yixue
AU - Lai, Chin Feng
AU - Wu, Di
AU - Li, Yong
AU - Hwang, Kai
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - With the growing popularity of mobile devices, a new type of peer-to-peer communication mode for mobile cloud computing has been introduced. By applying a variety of short-range wireless communication technologies to establish connections with nearby mobile devices, we can construct a mobile cloudlet in which each mobile device can either works as a computing service provider or a service requester. Although the paradigm of mobile cloudlet is cost-efficient in handling computation-intensive tasks, the understanding of its corresponding service mode from a theoretic perspective is still in its infancy. In this paper, we first propose a new mobile cloudlet-assisted service mode named Opportunistic task Scheduling over Co-located Clouds (OSCC), which achieves flexible cost-delay tradeoffs between conventional remote cloud service mode and mobile cloudlets service mode. Then, we perform detailed analytic studies for OSCC mode, and solve the energy minimization problem by compromising among remote cloud mode, mobile cloudlets mode and OSCC mode. We also conduct extensive simulations to verify the effectiveness of the proposed OSCC mode, and analyze its applicability. Moreover, experimental results show that when the ratio of data size after task execution over original data size associated with the task is smaller than 1 (i.e., r<1) and the average meeting rate of two mobile devices λ is larger than 0.00014 , our proposed OSCC mode outperforms existing service modes.
AB - With the growing popularity of mobile devices, a new type of peer-to-peer communication mode for mobile cloud computing has been introduced. By applying a variety of short-range wireless communication technologies to establish connections with nearby mobile devices, we can construct a mobile cloudlet in which each mobile device can either works as a computing service provider or a service requester. Although the paradigm of mobile cloudlet is cost-efficient in handling computation-intensive tasks, the understanding of its corresponding service mode from a theoretic perspective is still in its infancy. In this paper, we first propose a new mobile cloudlet-assisted service mode named Opportunistic task Scheduling over Co-located Clouds (OSCC), which achieves flexible cost-delay tradeoffs between conventional remote cloud service mode and mobile cloudlets service mode. Then, we perform detailed analytic studies for OSCC mode, and solve the energy minimization problem by compromising among remote cloud mode, mobile cloudlets mode and OSCC mode. We also conduct extensive simulations to verify the effectiveness of the proposed OSCC mode, and analyze its applicability. Moreover, experimental results show that when the ratio of data size after task execution over original data size associated with the task is smaller than 1 (i.e., r<1) and the average meeting rate of two mobile devices λ is larger than 0.00014 , our proposed OSCC mode outperforms existing service modes.
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U2 - 10.1109/TSC.2016.2589247
DO - 10.1109/TSC.2016.2589247
M3 - Article
AN - SCOPUS:85034598747
SN - 1939-1374
VL - 11
SP - 549
EP - 561
JO - IEEE Transactions on Services Computing
JF - IEEE Transactions on Services Computing
IS - 3
ER -