QoS Analysis for Cloud-Based IoT Data Using Multicriteria-Based Optimization Approach.

This work explains why and how QoS modeling has been used within a multicriteria optimization approach. The parameters and metrics defined are intended to provide a broader and, at the same time, more precise analysis of the issues highlighted in the work dedicated to placement algorithms in the cloud. In order to find the optimal solution to a placement problem which is impractical in polynomial time, as in more particular cases, meta-heuristics more or less approaching the optimal solution are used in order to obtain a satisfactory solution. First, a model by a genetic algorithm is proposed. This genetic algorithm dedicated to the problem of placing virtual machines in the cloud has been implemented in two different versions. The former only considers elementary services, while the latter uses compound services. These two versions of the genetic algorithm are presented, and also, two greedy algorithms, round-robin and best-fit sorted, were used in order to allow a comparison with the genetic algorithm. The characteristics of these two algorithms are presented.

Cardiovascular risk factors and LDL subfraction profile in Type 2 diabetes mellitus subjects with good glycaemic control.

OBJECTIVES: To compare cardiovascular risk factors and LDL particle size in well-controlled Type 2 diabetes mellitus and normal subjects. METHODS: Ninety-three Type 2 diabetic males and 186 age-matched, male controls were studied. Glycaemic control was stable for at least 3 months prior to recruitment. None were on insulin or lipid lowering therapy. Anthropometric indices, blood pressure, lipids, glucose, insulin, apolipoprotein A1 and B, LDL subfraction by density ultracentrifugation were obtained after an overnight fast of 10 h. RESULTS: Diabetic subjects (mean HbA(1c) 6.6%+/-0.10) did not differ from controls in total cholesterol levels (5.04+/-0.08 vs. 5.16+/-0.05 mmol/l, respectively) but had lower serum HDL cholesterol (0.98+/-0.03 vs. 1.12+/-0.02 mmol/l, P<0.001), higher serum triglyceride (2.38+/-0.16 vs. 1.80+/-0.08 mmol/l, P<0.001), lower LDL(1) and LDL(2) and higher LDL(3) concentration. An LDL(3) concentration exceeding 100 mg/dl was found in 59.1% of diabetics and 39.1% of non-diabetics (P<0.001). Diabetic subjects also had higher body mass index, waist to hip ratio and insulin resistance (HOMA). Difference in LDL subfraction between groups disappeared after adjustments were made for either triglyceride or HDL cholesterol. CONCLUSION: Well controlled Type 2 diabetes mellitus subjects exhibit an increased cardiovascular burden through low HDL cholesterol and predominance of small, dense LDL particles.