An optimal VM Placement, Energy Efficient and SLA at Cloud Environment - A Comparative Analysis

In the cloud computing framework, computing resources can be increased or decreased in response to the users’ different application loads. The data is stored and the applications are running on the servers in the clouds. Users do not have to worry about lost or corrupt data. The clouds can distribute computing resources according to the users’ needs or preferences to provide fl exible management. Users do not have to buy expensive computing devices. They only need to pay for the computing services provided by the clouds. Cloud computing provides a platform for computational experiments with abundant computing and storage resources. The system can be considered as a whole and the control and management decisions are sent as services to agents. The challenge in the present study is to reduce energy consumption thus guarantee Service Level Agreement (SLA) at its highest level

A Recurrent Neural Network Survival Model: Predicting Web User Return Time

The size of a website's active user base directly affects its value. Thus, it is important to monitor and influence a user's likelihood to return to a site. Essential to this is predicting when a user will return. Current state of the art approaches to solve this problem come in two flavors: (1) Recurrent Neural Network (RNN) based solutions and (2) survival analysis methods. We observe that both techniques are severely limited when applied to this problem. Survival models can only incorporate aggregate representations of users instead of automatically learning a representation directly from a raw time series of user actions. RNNs can automatically learn features, but can not be directly trained with examples of non-returning users who have no target value for their return time. We develop a novel RNN survival model that removes the limitations of the state of the art methods. We demonstrate that this model can successfully be applied to return time prediction on a large e-commerce dataset with a superior ability to discriminate between returning and non-returning users than either method applied in isolation.Comment: Accepted into ECML PKDD 2018; 8 figures and 1 tabl

A COMPREHENSIVE CREATION OF REAL AND SYNTHETIC SETS

While information retrieval, diversification of keyword search is called at subject otherwise document level nonetheless it isn't constantly easy to get constructive query logs. The expanded leads to information retrieval are modelled at document levels. Diversifying results concerning retrieval of document were introduced and also the most the strategy will execute diversification as being a publish processing stage of document retrieval process. Within our work we create a kinds of offering different suggestions of keyword query towards users that originate from specified keywords in data to obtain looked. By way of this users might prefer their selected queries on foundation came back suggestions of diverse query. Our work proposes a technique that expands keyword search that's based on various contexts within the data and possesses introduced three efficient algorithms that be a consequence of observed characteristics of link between keyword search. We advise produce a baseline formula for recovery within the link between diversified keyword search and two anchor-based pruning solutions are viewed to get better effectiveness of keyword search diversification by way of utilizing intermediate results

ACUMULATIVE BUG ORIGINATED SYSTEM TO A DEVELOPER

Mining of understanding has switched right into a competent approach to manage software data.  By leveraging means of data mining, mining manner of software repositories can expose interesting data within software repositories and resolve actual software problems. Within our work we manage impracticality of information reduction for bug triage that's decrease in bug data in order to save work price of developers and get better the traditional to create easy the whole process of bug triage. A lengthy move of managing of software bugs is bug triage, which assign a precise developer to repair a totally new bug.  To influence obvious of costly price of manual bug triage, existing work has forecasted an analog means of bug triage, involving the techniques of text classification can be expected developers for bug reports. Data decrease in aid of bug triage aims to place up somewhat-scale furthermore to expert quantity of bug data by way of elimination of bug reports furthermore to words which are redundant otherwise non-informative

Experimental Evaluation of Strength Degradation Temperature for Carbon Epoxy Filament Wound Composite

Polymeric composites have been widely used in various structural and thermal aerospace applications. Polymeric composites having high strength and high modulus reinforcement are ideally suited for lot of critical aerospace applications as structure is designed with high specific strength and high specific modulus. In case of launch vehicles/ missile one such application is design and manufacturing of solid rocket motor casing with polymeric composites as it give high performance and reduces inert weight of propulsion system. The high specific strength and high specific modulus of composite materials makes it ideal choice for designing the composite rocket motor case (CRMC). These are manufactured with filament winding process. As per ASTM D 2290 test method, the apparent tensile strength can be evaluated by preparing ring specimens from filament wound shell which simulates the hoop winding and cylindrical geometry of composite motor case. During flight in trajectory, the temperature on external surface of rocket motor will rise due to kinetic heating as result of aerodynamic drag. The mechanical properties of FRP composites degrades beyond certain temperature, depending primarily upon resin system and its glass transition temperature (Tg). In present work, the method of ring fabrication using filament winding is used to prepare test samples to experimentally test and evaluate apparent tensile strength with temperature of Carbon Epoxy composite. The tensile test at ambient is also done on specimens made from carbon Epoxy laminate using filament winding technique and are compared with ring test results.. The Glass Transition temperature (Tg) for Carbon Epoxy is also determined with Dry Scanning Calorimetry (DSC) techniqu

Partial Covering Arrays: Algorithms and Asymptotics

A covering array $\mathsf{CA}(N;t,k,v)$ is an $N\times k$ array with entries in $\{1, 2, \ldots , v\}$, for which every $N\times t$ subarray contains each $t$-tuple of $\{1, 2, \ldots , v\}^t$ among its rows. Covering arrays find application in interaction testing, including software and hardware testing, advanced materials development, and biological systems. A central question is to determine or bound $\mathsf{CAN}(t,k,v)$, the minimum number $N$ of rows of a $\mathsf{CA}(N;t,k,v)$. The well known bound $\mathsf{CAN}(t,k,v)=O((t-1)v^t\log k)$ is not too far from being asymptotically optimal. Sensible relaxations of the covering requirement arise when (1) the set $\{1, 2, \ldots , v\}^t$ need only be contained among the rows of at least $(1-\epsilon)\binom{k}{t}$ of the $N\times t$ subarrays and (2) the rows of every $N\times t$ subarray need only contain a (large) subset of $\{1, 2, \ldots , v\}^t$. In this paper, using probabilistic methods, significant improvements on the covering array upper bound are established for both relaxations, and for the conjunction of the two. In each case, a randomized algorithm constructs such arrays in expected polynomial time

From synthesis to bioactivity: A comprehensive study of Cu-based biocidal tool

The present study reports on the biogenic synthesis of a copper-based biocidal material through the fermentation of gruel, a traditional non-alcoholic beverage. This process may involve a bio-beneficiation mechanism, in which the indigenous microorganisms in the ferment interact with the material. X-ray diffraction analysis confirmed the powder's crystalline copper composition. Fourier-transform infrared spectroscopy revealed the crucial role of organic acids in the capping process. Transmission electron microscopy, ultraviolet-visible spectroscopy, and antimicrobial susceptibility tests were conducted to characterize the powder. Furthermore, the biocidal material was combined with the anticancer drug curcumin to explore its additional anti-proliferative effects, including apoptosis, on human hepatocellular carcinoma cell lines in vitro. These findings highlight the potential of this biogenic copper material as a promising candidate for biomedical applications