[PDF] Top 20 FCM-LB: Fuzzy C Means Cluster Based Load Balancing in Cloud

... a Load Balance Improved Min-Min (LBIMM) Scheduling algorithm that takes the characteristic of Min-Min scheduling algorithm as foundation to minimize the completion time of all resources and improves the ... See full document

... Knowledge management capabilities are recognized as an important means for sustaining and improving organizational performance of the private higher education institutions. The evaluation of knowledge management ... See full document

... Excess fuzzy in addition to more flexible, among others able to model non-linear function is very complex, are tolerant of incorrect data as passable, a bit ...[6]. Fuzzy Analytic Network Process (FANP) in ... See full document

... Continuously growing requirements to devices for processing, receiving and transmission of digital information cause the necessity of involving significant resources, primarily intellectual, to solve the problem of ... See full document

... Software is a fundamental component in a rapidly advancing technological society. The science of software engineering is the utilization of a systematic, disciplined, quantifiable methodologies to deal with the ... See full document

... Our cluster consists of Intel Xeon with 8 CPUs, 32GB memory and storage facilities i.e. HDD 1TB disk, 128 GB Samsung SSD. Similarly, we also use Intel core i5 with 4 Core, 16GB memory and storage facilities i.e. ... See full document

... utilize FCM clustering algorithm for grouping the similar type of VMs with respect to the properties of overloaded VMs such as number and speed of the processors and memory, status of (idle or active) ...of ... See full document

... assumptions based on the current study, findings indicate that the developed forecasting model performs better in predicting long term future values if the layer size is higher in dimensions and contains more ... See full document

... as Fuzzy logic-Sugeno FIS (FLS), Back Propagation Neural Network (BPNN) hybrid with FL-Sugeno (NFS), and BPNN hybrid with FL-Mamdani FIS ...compared based on its ability to feed the output signal to the ... See full document

... All of the approaches discussed so far have focused on recognizing normal human interactions, social activities and/or abnormal agent behavior within a crowd. These methods in both the application and motivation are ... See full document

... is based on a hierarchical clustering structure model and energy efficient cluster-based routing protocols for sensor ...changes cluster heads ...the cluster-head electing part and the ... See full document

... years, fuzzy modeling technique have become an active research area due to its successful application to complex system model, where classical methods such as mathematical and model-free methods are difficult to ... See full document

... the Fuzzy C- Means Clustering and the different techniques that are incorporated with ...of FCM and K-Means with respect to ...in FCM is more when compared to K-Means the ... See full document

... The EPSB generated based on results of apply confidence range algorithm on outputs of time agent. Normally, the speed of using keyboard has been differing from user to others according to a location of keys, using ... See full document

... character based on their position in the word (initial, medial and ...We based our analysis on blobs that formed each character for calculate the segmentation ... See full document

... The comparison between e-government strategic issues and implementation between developed and developing nations in prior studies [15, 18] indicated that majority of the developed countr[r] ... See full document

... methods based on using regular expressions or sets of regular ...proposed, based on a set of finite state ...systems based on finite state machines are inherently limited because natural languages ... See full document

... The LDA method uses models based on vector data representation. Generate vectors typically have a higher dimension. This is a drawback of the method of LDA [6]. Method Two Dimensional Linear Discriminant Analysis ... See full document

... Thus, fuzzy structure system is ...suitable cluster by using fuzzy c-means (FCM) method, to apply existing methods such as multiple linear regression (MLR) and fuzzy ... See full document

... The limitation in the SHOM model is represented by two main issues, which is limited hardware and software specifications and granularity. First, this model does not illustrate detailed specifications about the hardware ... See full document