TY - JOUR
T1 - Computational Load Balancing on the Edge in Absence of Cloud and Fog
AU - Sthapit, Saurav
AU - Thompson, John
AU - Robertson, Neil M.
AU - Hopgood, James R.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Mobile Cloud Computing or Fog computing refers to offloading computationally intensive algorithms from a mobile device to
the cloud or an intermediate cloud in order to save resources e.g. time and energy in the mobile device. This paper proposes new
solutions for situations when the cloud or fog is not available. First, the sensor network is modelled using a network of queues, then a
linear programming technique is used to make scheduling decisions. Various centralised and distributed algorithms are then proposed,
which improves overall system performance. Extensive simulations show slightly higher energy usage in comparision to the baseline
non-offloading case, however, job completion rate is significantly improved, the efficiency score metric show the extra energy usage is
justified. The algorithms have been simulated in various environments including high and low bandwidth, partial connectivity, and
different rate of information exchanges to study the pros and cons of the proposed algorithms
AB - Mobile Cloud Computing or Fog computing refers to offloading computationally intensive algorithms from a mobile device to
the cloud or an intermediate cloud in order to save resources e.g. time and energy in the mobile device. This paper proposes new
solutions for situations when the cloud or fog is not available. First, the sensor network is modelled using a network of queues, then a
linear programming technique is used to make scheduling decisions. Various centralised and distributed algorithms are then proposed,
which improves overall system performance. Extensive simulations show slightly higher energy usage in comparision to the baseline
non-offloading case, however, job completion rate is significantly improved, the efficiency score metric show the extra energy usage is
justified. The algorithms have been simulated in various environments including high and low bandwidth, partial connectivity, and
different rate of information exchanges to study the pros and cons of the proposed algorithms
U2 - 10.1109/TMC.2018.2863301
DO - 10.1109/TMC.2018.2863301
M3 - Article
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
SN - 1536-1233
ER -
