scholarly journals Data Chunks Placement Optimization for Hybrid Storage Systems

2021 ◽  
Vol 13 (7) ◽  
pp. 181
Author(s):  
Agil Yolchuyev ◽  
Janos Levendovszky
Keyword(s):  
Cloud Storage ◽  
Data Transfer ◽  
Storage Systems ◽  
Hybrid Cloud ◽  
Significant Drop ◽  
Public And Private ◽  
The Public ◽  
Placement Optimization ◽  
Hybrid Cloud Storage ◽  
The Cost

“Hybrid Cloud Storage” (HCS) is a widely adopted framework that combines the functionality of public and private cloud storage models to provide storage services. This kind of storage is especially ideal for organizations that seek to reduce the cost of their storage infrastructure with the use of “Public Cloud Storage” as a backend to on-premises primary storage. Despite the higher performance, the hybrid cloud has latency issues, related to the distance and bandwidth of the public storage, which may cause a significant drop in the performance of the storage systems during data transfer. This issue can become a major problem when one or more private storage nodes fail. In this paper, we propose a new framework for optimizing the data uploading process that is currently used with hybrid cloud storage systems. The optimization is concerned with spreading the data over the multiple storages in the HCS system according to some predefined objective functions. Furthermore, we also used Network Coding technics for minimizing data transfer latency between the receiver (private storages) and transmitter nodes.

scholarly journals Solving the Asymmetry Multi-Objective Optimization Problem in PPPs under LPVR Mechanism by Bi-Level Programing

Symmetry ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 1667
Author(s):  
Feiran Liu ◽  
Jun Liu ◽  
Xuedong Yan
Keyword(s):  
Optimization Problem ◽  
Optimal Strategies ◽  
Decision Makers ◽  
Multi Objective Optimization ◽  
Pareto Solutions ◽  
Present Value ◽  
Public And Private ◽  
The Public ◽  
Multi Objective ◽  
The Cost

Optimizing the cost and benefit allocation among multiple players in a public-private partnership (PPP) project is recognized to be a multi-objective optimization problem (MOP). When the least present value of revenue (LPVR) mechanism is adopted in the competitive procurement of PPPs, the MOP presents asymmetry in objective levels, control variables and action orders. This paper characterizes this asymmetrical MOP in Stackelberg theory and builds a bi-level programing model to solve it in order to support the decision-making activities of both the public and private sectors in negotiation. An intuitive algorithm based on the non-dominated sorting genetic algorithm III (NSGA III) framework is designed to generate Pareto solutions that allow decision-makers to choose optimal strategies from their own criteria. The effectiveness of the model and algorithm is validated via a real case of a highway PPP project. The results reveal that the PPP project will be financially infeasible without the transfer of certain amounts of exterior benefits into supplementary income for the private sector. Besides, the strategy of transferring minimum exterior benefits is more beneficial to the public sector than to users.

scholarly journals Rancang Bangun Hybrid Cloud Storage Berbasis Infrastucture As A Service (IAAS)

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Siti Amalia Nazihah Surosa ◽  
Iskandar Fitri ◽  
Novi Dian Nathasia
Keyword(s):  
Cloud Storage ◽  
Hybrid Cloud ◽  
Hybrid Cloud Storage

scholarly journals Comparison between Public and Private Pay Structures in Bangladesh

2013 ◽  
Vol 8 (1-2) ◽  
pp. 89-96
Author(s):  
N Sultana ◽  
PC Modak
Keyword(s):  
Income Tax ◽  
Secondary Data ◽  
Public And Private ◽  
The Public ◽  
Private Organizations ◽  
Basic Salary ◽  
Almost All ◽  
The Cost ◽  
Structured Questionnaire ◽  
Monthly Salary

A survey was carried out during the period from July to December 2002 to see comparison between public and private pay structures in Bangladesh. To evaluate the public pay structure 120 respondents of Bangladesh Agricultural University (BAU) were interviewed through semi-structured questionnaire. The respondents were categorized in 8 different categories. Information of their monthly salary, income tax etc. were checked against their pay-bills and income tax information as supplier by the employer. The secondary data on also collected personally by researcher himselves Pay-structure of different organizations, National pay scales and Price indices. It was found that almost all employees including teachers and officers are facing constraints to maintain their families with income from their job. About 65.5% of their expenditure is getting from their salaries. More than 36% of the employees (including teachers and officers) failed to manage their family expenditure with income from job and extra job. National Pay scale 1997 reduced sufficiently the disparity between the highest and the lowest salary to 10:1 whereas in 1991 the ratio was 11.11:1. In private sectors like Pubali Bank Limited (PBL), Islami Bank Bangladesh Limited (IBL) and Uttara Bank Limited (UBL) the disparity between the highest and the lowest salary were found 21.1:1, 25.29:1 and 26:1 respectively. But disparity in NPS does not ensure the equity, fairness and justice to the civil servants or employees because salaries were not sufficient to cover the cost of as well as livelihood. The maximum salary one can draw is TK.23800 when a person is in the highest grade according to NPS 1997. On the other hand, in private organizations one can draw the highest amount of TK. 90500 which is more than 3.80 times of the highest amount drawn as per NPS 1997. House rent of private sectors varies from 65.4% to 104% (including house maintenance) where as in public sectors it varies from 40% to 55% of basic salary. Consequently, the living conditions of the service holders of lower income groups have been drastically reducing. The minimum salary ratio is to be suggested between the highest and the lowest position should be 5:1. DOI: http://dx.doi.org/10.3329/jsf.v8i1-2.14631 J. Sci. Foundation, 8(1&2): 89-96, June-December 2010

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