Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing

In mobile edge computing(MEC),one of the important challenges is how much resources of which mobile edge server(MES)should be allocated to which user equipment(UE).The existing resource allocation schemes only consider CPU as the requested resource and assume utility for MESs as either a random variable or dependent on the requested CPU only.This paper presents a novel comprehensive utility function for resource allocation in MEC.The utility function considers the heterogeneous nature of applications that a UE offloads to MES.The proposed utility function considers all important parameters,including CPU,RAM,hard disk space,required time,and distance,to calculate a more realistic utility value for MESs.Moreover,we improve upon some general algorithms,used for resource allocation in MEC and cloud computing,by considering our proposed utility function.We name the improved versions of these resource allocation schemes as comprehensive resource allocation schemes.The UE requests are modeled to represent the amount of resources requested by the UE as well as the time for which the UE has requested these resources.The utility function depends upon the UE requests and the distance between UEs and MES,and serves as a realistic means of comparison between different types of UE requests.Choosing(or selecting)an optimal MES with the optimal amount of resources to be allocated to each UE request is a challenging task.We show that MES resource allocation is sub-optimal if CPU is the only resource considered.By taking into account the other resources,i.e.,RAM,disk space,request time,and distance in the utility function,we demonstrate improvement in the resource allocation algorithms in terms of service rate,utility,and MES energy consumption.

Nd-doped NiFe_(2)O_(4) and its composite with CNTs to tune photocatalytic activity

Rare earth-doped spinel nano ferrites are attaining importance as heterogeneous nanocatalysts for the degradation of organic effluents.Rare earth metal doping increases the electrical and optical properties,as well as the surface-to-volume ratio of the bare sample.In this work,NiFe_(2)O_(4)(NF) and Nd-NiFe_(2)O_(4)(NF-1) were successfully synthesized via the co-precipitation route.Carbon nanotubes(CNT)-based nanocomposite(NF-2) was prepared using the ultra-sonication method.The prepared materials were analyzed via various physiochemical approaches.The degradation efficiency of these materials was analyzed for the degradation of Rhodamine B,methylene blue,and benzoic acid,NF-2 shows the highest efficiency among all the prepared catalysts.NF-2 shows 83.87%,90.80%,and 66.96% degradation of Rhodamine B,methylene blue,and benzoic acid,respectively.The reason for the superior activity of NF-2 is the existence of rare earth Nd ions and CNTs.The surface area of NF increases due to the presence of carbon nanotubes and enhanced surface area provides more active sites for the degradation reaction.