Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud.

Infrastructure as a Service (IaaS) cloud provides resources as a service from a pool of compute, network, and storage resources. Cloud providers can manage their resource usage by knowing future usage demand from the current and past usage patterns of resources. Resource usage prediction is of great importance for dynamic scaling of cloud resources to achieve efficiency in terms of cost and energy consumption while keeping quality of service. The purpose of this paper is to present a real-time resource usage prediction system. The system takes real-time utilization of resources and feeds utilization values into several buffers based on the type of resources and time span size. Buffers are read by R language based statistical system. These buffers' data are checked to determine whether their data follows Gaussian distribution or not. In case of following Gaussian distribution, Autoregressive Integrated Moving Average (ARIMA) is applied; otherwise Autoregressive Neural Network (AR-NN) is applied. In ARIMA process, a model is selected based on minimum Akaike Information Criterion (AIC) values. Similarly, in AR-NN process, a network with the lowest Network Information Criterion (NIC) value is selected. We have evaluated our system with real traces of CPU utilization of an IaaS cloud of one hundred and twenty servers.

Seat Belt Compression Appendicitis following Motor Vehicle Collision.

Appendicitis and trauma both present in emergency department commonly but their presentation together in the same patient is unusual. We present a case of a middle-aged man brought by emergency medical services (EMS) to the emergency department with complaints of abdominal pain after he was involved in motor vehicle collision. He was perfectly fine before the accident. His primary survey was normal. Secondary survey revealed tenderness in right iliac fossa with seat belt mark overlying it. Computerized tomography (CT) of the abdomen and pelvis was performed which showed 8 mm thickening of appendix with minimal adjacent fat stranding. There is also subcutaneous fat stranding of anterior lower abdominal wall possibly due to bruising. Impression of posttraumatic seat belt compression appendicitis was made. Laparoscopic appendectomy was done and patient recovered uneventfully. Histopathology showed inflamed appendix, proving it to be a case of seat belt compression appendicitis.