TY - JOUR
T1 - An evaluation of cloud-based mobile services with limited capacity
T2 - a linear approach
AU - Skourletopoulos, Georgios
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Sahalos, John N.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Mobile computing is pervading networks at an increasing speed as mobile devices are used with diverse forms of wireless technologies to access data. This paper evaluates different cloud-supported mobile services subject to limited capacity, as the selection of a service may introduce additional costs, such as those that derive from the additional amount of memory required for processing. In this context, a novel linear model and algorithm in the mobile cloud computing environment are proposed from the service capacity perspective, considering the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is also researched, once a linear growth in the number of users occurs. To further make effective and strategic investment decisions when selecting the appropriate cloud-based mobile service to lease off, the model formulation is based on a cost–benefit appraisal. The proposed quantification approach is evaluated with respect to four different case scenarios, exploiting a web tool that has been developed as a proof of concept and implementing the algorithm to calculate and compare the benefits and costs in the mobile cloud-based service level.
AB - Mobile computing is pervading networks at an increasing speed as mobile devices are used with diverse forms of wireless technologies to access data. This paper evaluates different cloud-supported mobile services subject to limited capacity, as the selection of a service may introduce additional costs, such as those that derive from the additional amount of memory required for processing. In this context, a novel linear model and algorithm in the mobile cloud computing environment are proposed from the service capacity perspective, considering the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is also researched, once a linear growth in the number of users occurs. To further make effective and strategic investment decisions when selecting the appropriate cloud-based mobile service to lease off, the model formulation is based on a cost–benefit appraisal. The proposed quantification approach is evaluated with respect to four different case scenarios, exploiting a web tool that has been developed as a proof of concept and implementing the algorithm to calculate and compare the benefits and costs in the mobile cloud-based service level.
KW - Decision making methodology
KW - IT investment
KW - Lease web services
KW - Limited capacity
KW - Linear algorithm
KW - Linear model
KW - Mobile cloud computing
KW - Mobile cloud-based service level
KW - Overutilization
UR - http://www.scopus.com/inward/record.url?scp=84975747732&partnerID=8YFLogxK
U2 - 10.1007/s00500-016-2083-4
DO - 10.1007/s00500-016-2083-4
M3 - Article
AN - SCOPUS:84975747732
SN - 1432-7643
VL - 21
SP - 4523
EP - 4530
JO - Soft Computing
JF - Soft Computing
IS - 16
ER -