2017 13th International Conference on Network and Service Management (CNSM) 2017
DOI: 10.23919/cnsm.2017.8255974
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Resource provisioning for IoT application services in smart cities

Abstract: Abstract-In the last years, traffic over wireless networks has been increasing exponentially, due to the impact of Internet of Things (IoT) and Smart Cities. Current networks must adapt to and cope with the specific requirements of IoT applications since resources can be requested on-demand simultaneously by multiple devices on different locations. One of these requirements is low latency, since even a small delay for an IoT application such as health monitoring or emergency service can drastically impact thei… Show more

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Cited by 46 publications
(35 citation statements)
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References 17 publications
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“…In [17,73,114,122,126,145,147,149,150], for instance, the authors attempt to address the problem of end-user mobility by providing dynamic placement approaches. In [126], Saurez et al propose to handle the mobility of end-users by providing strategy based on the following decisions: "When-to-Migrate" based on the latency parameter; and "Where-to-Migrate" based on the proximity of a FN to the mobile devices and the current processing node.…”
Section: Mobility Supportmentioning
confidence: 99%
See 1 more Smart Citation
“…In [17,73,114,122,126,145,147,149,150], for instance, the authors attempt to address the problem of end-user mobility by providing dynamic placement approaches. In [126], Saurez et al propose to handle the mobility of end-users by providing strategy based on the following decisions: "When-to-Migrate" based on the latency parameter; and "Where-to-Migrate" based on the proximity of a FN to the mobile devices and the current processing node.…”
Section: Mobility Supportmentioning
confidence: 99%
“…a) Exact solution The definition of an exact solution is often computed by using an ILP solver, or by performing exhaustive research (by enumerating all solutions). Among the works that attempted to solve the SPP in an exact way, we mention the works [102,122,133,141,147], that use ILP formulation and exact optimization solver to define an optimal solution, and [167] that uses exhaustive placement research.…”
Section: Resolution Strategiesmentioning
confidence: 99%
“…Although the existing and ongoing research cited address resource provisioning issues present in Cloud and Fog Computing environments, they have not yet delivered an integrated solution since most research has been focused on theoretical modeling and simulation studies. The proposed networkaware approach in this paper builds further on [17], where a resource provisioning Integer Linear Programming (ILP) model for the IoT service placement problem in Smart Cities has been presented. The ILP formulation takes into account not only cloud requirements but also wireless constraints while optimizing IoT services for network latency, energy efficiency and bandwidth usage.…”
Section: Related Workmentioning
confidence: 99%
“…In addition, there are other research work focusing on the different aspects of application mapping, e.g. [16][17] [18], but they investigate the problem from the point of view of Cloud and Edge computing providers while employing limited attributes.…”
Section: Related Workmentioning
confidence: 99%
“…Considering and measuring this attribute is critical in evaluating IoT applications, since it has also a direct and important impact on the other aspects like the cost, performance and energy consumption of the system. Bandwidth, computation and storage attributes have been used in several works like [13] [18] related to the hybrid Edge-Cloud model. However, they mostly consider these attributes as available resources that should be allocated to the different applications in an optimum way.…”
Section: Decision Support Attributesmentioning
confidence: 99%