Cloud Market Maker: An automated dynamic pricing marketplace for cloud users

Cloud computing has revolutionized the IT world by its benefits. Cloud users can take relational and non-relational databases in the form of services or can run their own database on computing resources provided by the cloud. With evolution of cloud, new challenges are emerging, and the responsibility of the professional is to provide solution to these challenges. Dynamic pricing of computing resources in the cloud is now widely acceptable by its users. But in the current market of cloud, reverse auction (a mechanism to implement dynamic pricing) is not getting the attention from professionals that it deserves. This work is an effort to identify the facts in the cloud market that are responsible for current condition of reverse auction. In this work, from the identified limitations of current cloud market and case study on existing model for reverse auction in cloud, one can observe that coalition of small cloud providers with common interoperability standard in reverse auction is a feasible solution to encourage cloud market for adapting reverse auction-based resource allocation.

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Dynamic Pricing bei strategischem Konsumentenverhalten

WiSt - Wirtschaftswissenschaftliches Studium ◽

10.15358/0340-1650_2014_6_292 ◽

2014 ◽

Vol 43 (6) ◽

pp. 292-297

Author(s):

Jochen Gönsch ◽

Michael Neugebauer ◽

Claudius Steinhardt

Keyword(s):

Dynamic Pricing

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Dynamic Pricing im stationären Einzelhandel

WiSt - Wirtschaftswissenschaftliches Studium ◽

10.15358/0340-1650-2018-5-10 ◽

2018 ◽

Vol 47 (5) ◽

pp. 10-15

Author(s):

Doreén Pick

Keyword(s):

Dynamic Pricing

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On the Marketness of Markets and Actor Clout: Market-shaping Roles

Journal of Service Management Research ◽

10.15358/2511-8676-2020-2-3-170 ◽

2020 ◽

Vol 4 (2-3) ◽

pp. 170-184

Author(s):

Suvi Nenonen ◽

Kaj Storbacka

Keyword(s):

The State ◽

Market Maker ◽

Relative Power ◽

Market Evolution ◽

Network Position ◽

High Degree ◽

Market Shaping

In reconnecting marketing to more plastic and malleable markets, we need more understanding about market evolution. In this research we explore how to assess the state of a market, and how the roles of a market-shaping actor vary depending on this state. We view markets as configurations of 25 interdependent elements and argue that well-functioning markets have a high degree of configurational fit between elements. The level of configurational fit describes the state of a market as a continuum from low to high marketness. The clout of a market actor to influence a market configuration is an amalgamation of the actor’s capabilities, network position and relative power. By exploring marketness and clout as contextual contingencies, we identify four market-shaping roles: market maker, market activist, market champion, and market complementor. The focus of a market-shaping actor, in terms of which elements to influence and in which order, vary significantly between roles.

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Data Integrity Techniques in Cloud Computing: An Analysis

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.36 ◽

2017 ◽

Vol 7 (8) ◽

pp. 121 ◽

Cited By ~ 1

Author(s):

Neha Thakur ◽

Aman Kumar Sharma

Keyword(s):

Cloud Computing ◽

Cloud Storage ◽

Data Integrity ◽

Advantages And Disadvantages ◽

Security Models ◽

Cloud Storage Service ◽

Storage Service ◽

Cloud Users ◽

It Enterprises

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record. In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.

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