DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre.

The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approaches consider task deadline violation rate rather than performance cost and server size ratio during profit estimation, which impacts CSP revenue and causes high service cost. To address this issue, we develop two algorithms for profit maximization and adequate service reliability. First, a belief propagation-influenced cost-aware asset scheduling approach is derived based on the data analytic weight measurement (DAWM) model for effective performance and server size optimization. Second, the multiobjective heuristic user service demand (MHUSD) approach is formulated based on the CPS profit estimation model and the user service demand (USD) model with dynamic acyclic graph (DAG) phenomena for adequate service reliability. The DAWM model classifies prominent servers to preserve the server resource usage and cost during an effective resource slicing process by considering each machine execution factor (remaining energy, energy and service cost, workload execution rate, service deadline violation rate, cloud server configuration (CSC), service requirement rate, and service level agreement violation (SLAV) penalty rate). The MHUSD algorithm measures the user demand service rate and cost based on the USD and CSP profit estimation models by considering service demand weight, tenant cost, and energy cost. The simulation results show that the proposed system has accomplished the average revenue gain of 35%, cost of 51%, and profit of 39% than the state-of-the-art approaches

Profit Renting Schema for cloud Service Providers in Cloud Computing

Cloud computing is a classification of web computing and with respect to request computing where shared assets and data are given to the client's on-request. Profit is the most critical variable from the cloud service provider and it is essentially dictated by the setup of a cloud profit stage under given market request. A solitary long haul leasing plan is generally used to design a cloud stage, which can't ensure the quality of administration however prompts to genuine asset squander. To beat the disadvantages of single leasing plan, Double asset RR Renting plan is composed which is the blend of both here and now and long haul leasing. Twofold asset leasing plan ensures the quality of administration as well as lessen the asset squander. In which queuing model is utilized for occupation booking. Twofold asset leasing RR conspire not just gives the Qos to the clients by utilizing load adjusting round robin calculation additionally expand profit than single leasing plan. Thirdly, a profit intensification issue is anticipated the twofold leasing arrangement and the streamlined course of action of a cloud stage is gotten by dealing with the profit help issue. Finally, a movement of calculations coordinated to break down the profit of our proposed arrange with that of the single leasing arrangement. The results exhibit that our arrangement can't simply guarantee the organization way of all requesting, furthermore get more profit than the last

A Double-Quality-Guaranteed (DQG) Renting Scheme For Service Providers

A fresh double renting scheme is proposed for service providers. It unites long-term renting with short-term renting, which can not only please quality-of-service requirements under the varying supplier for profit maximization is devise and two kinds of optimal solutions, i.e., the ideal solutions and the actual solutions, are get respectively. A series of contrast are given to confirm the performance of our scheme. The results show that the proposed Double-Quality-Guaranteed (DQG) renting scheme can realize more profit than the compared Single-Quality-Unguaranteed (SQU) renting scheme in the foundation of guaranteeing the service quality entirel

A Novel Scheme For Profit Minimization And Resource Distribution To Clients In Cloud

A DSR (double resource renting) system is planned primarily in which short-term leasing and long-term leasing are combined aiming at the present problems. This double leasing system can successfully guarantee the value of facility of all need sand reduce the resource waste importantly. Secondly, a service system is considered as an queuing model and the enactment indicators that affect the profit of our double leasing scheme are analyzed, e.g., the average charge, the ratio of requests that need temporary servers, and so forth. Thirdly, a profit maximization issue is framed for the double leasing system and the optimized configuration of a cloud platform is obtained by resolving the profit maximization issue, a series of calculations are showed to compare the profit of our planned scheme with that of the single leasing system

Hawkers’ Satisfaction with A Local Authority Water Meter Reading Management

This paper aims to identify hawkers' satisfaction with a local authority water meter reading management. Three years ago, the licensing and business development department installed meter readers at the hawker centres. Currently, water meter readers are no longer available, causing the department substantial losses. There are complaints on the use of bulk meters that the amount charged each month is indifferent. Several water meters in the hawker centres are not working correctly, resulting in difficulties by the authority to process the correct amount of water bills. The hawkers need to travel to the headquarters to make payment, making it more difficult. Hawkers are not happy because they have to pay the same amount though they might have consumed less than others. A total of 176 questionnaires was distributed to 500 hawkers in Kuala Lumpur City Hall (KLCH). Data were analysed using SPSS. The results showed that only one variable, water meter management, has a significant and weak relationship, influencing hawkers' satisfaction. This finding will give an excellent insight to the local authority in better control of water meter reading at hawker centres