Analyzing the accomplishment of these promulgated tasks is calculated effectively with the analysis metrics of output, Accomplishment time, Storage usage, Replica number, Replication cost Recovery time, Network usage and Hit ratio. Higher output value denotes that the suggested method attains improved ...
Metrics Abstract With the advent of artificial intelligence and Big Data - projects, the necessity for a transition from analog medicine to modern-day solutions such as cloud computing becomes unavoidable. Even though this need is now common knowledge, the process is not always easy to start. Leg...
Section 2 provides an overview of the work that has been done in the field. In Section 3, the detailed architecture of the fog-integrated CoT system is presented. The mathematical models that used to describe our proposed system, as well as the performance metrics are then introduced in ...
Jayarekha 432 Accesses Explore all metrics Abstract Multi-tenancy is one of the important feature of cloud computing environment. Multi-tenant database system in SaaS (Software as a Service) deployed in cloud infrastructure has gained wide interest in both academics as well as industries, as it...
Techniques and Mining Social Web Models and Analysis Web Agents and Web Intelligence Web Data Models Web Information Retrieval and Text Analytics Web Metrics and Performance Web Mining and Web Warehousing Web Security and Trust Management Web-based Business Processes and Web Services Web Tools and ...
trust and reputation of cloud-based systems. In another study in 2018[31], the authors tried to decrease the overhead of the trust model while improving the detection rate of malicious nodes. However, they did not considered all security requirements for the metrics of a reputation-based ...
321 Accesses 1 Altmetric Explore all metrics Abstract With the continuous development of remote sensing technology, the data volume of remote sensing images has increased exponentially, resulting in many difficulties in the storage, management, transmission, calculation, and other processes of remote sensi...
3.2.4. Evaluation Metrics We have divided the whole dataset into validation data and unseen data to evaluate the efficiency of the learning algorithms. For this purpose, a confusion matrix helps show the prediction results of fault detection and classification, produced by every single algorithm (se...
more than150 world-record-setting benchmark resultsthat demonstrate our leadership in application areas including virtualization, cloud computing, enterprise applications, database management systems, enterprise middleware, high-performance computing, and basic CPU integer and floating-point performance metrics....
Requests waiting in the queue Identifying disk I/O issues Once we’ve measured and monitored disk performance using the above metrics, we can use commands to identify disk I/O issues. Three of the most commonly used commands to troubleshoot are df, iostat, and vmstat. Using the df command...