The multiple expected sources of traffic skewness in NextGeneration SensorNets (NGSN) will trigger the need for load-balanced point-to-point routing protocols. Driven by this fact, we present in this paper a load-balancing primitive, namely Traffic-Oblivious Load-Balancing (TOLB), to be used on top of any point-to-point routing protocol. TOLB obliviously load balances traffic by pushing the dec...

MapReduce is a famous model for data-intensive parallel computing in shared-nothing clusters. One of the main issues in MapReduce is the fact of depending its performance mainly on data distribution. MapReduce contains simple load balance technique based on FIFO job scheduler that serves the jobs in their submission order but unfortunately it is insufficient in real world cases as it missed man...

Forward-looking agents care about expected future utility flows, and hence have higher current felicity if they are optimistic. This paper studies utility-based biases in beliefs by supposing that beliefs maximize average felicity, optimally balancing this benefit of optimism against the costs of worse decision making. A small optimistic bias in beliefs typically leads to first-order gains in a...

Cloud Computing is computing where in several groups of servers are networked for providing online access to users. Several factors which influence cloud computing such as scalability, security etc are discussed by many researchers. Now a days usage of internet resources is widely increasing resulting in the increase of workload exponentially. In order to make cloud computing efficient and impr...

introduction: the frequency of floods is one of the characteristics of river flow statistics so thatanalyzing it has an important role to assess the hydrological and economical water resources projects. for determining flood frequency, the estimation of accurate skewness coefficient of annual peak discharges is required. estimation of population skew for different regions will be improved when ...

Cloud Computing is computing where in several groups of servers are networked for providing online access to users. Several factors which influence cloud computing such as scalability, security etc are discussed by many researchers. Now a days usage of internet resources is widely increasing resulting in the increase of workload exponentially. In order to make cloud computing efficient and impr...

In this paper, we proposed a road extraction algorithm that utilises voxel-based skewness and kurtosis balancing in order to update existing road networks accurately and reliably from airborne lidar data. The proposed algorithm consists of initial road extraction followed by a series of refinements including width constraints, spatial interpolations and curve fitting which are successfully impl...