Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cost-Effective Distributed Computing Resource Allocation and Revenue Maximization via Hierarchical Strategic Interaction Models

Cost-Effective Distributed Computing Resource Allocation and Revenue Maximization via Hierarchical Strategic Interaction Models

Nobile, Bello

Paperback

General Computers

ISBN13: 9798230471707
Publisher: Independent Publisher
Published: Feb 5 2025
Pages: 252
Weight: 1.30
Height: 0.53 Width: 8.50 Depth: 11.00
Language: English

Cloud computing is a novel concept in distributed computing. Cloud computing has emerged into various phenomena, including edge computing, and fog computing is continuously evolving. Cloud computing is continuously transforming. Factors like artificial intelligence, Blockchain technology, IoT, etc. have helped to change the face of cloud computing, and at the same time, they have introduced various challenges and problems that need urgent redress [1]. With the emergence of cloud computing, a window of opportunity has opened that allows anyone to access super powered computing, with minimal effort and cost. Resource allocation or scheduling problems are not limited to cloud computing but have limitless applications. To facilitate this, there must be a setup of computing resources and a system or mechanism to control, manage, and distribute them to subscribers in a homogeneous manner. It introduces a problem called resource allocation or resource management. Resource allocation is the most basic and most important problem in cloud computing paradigm. It is often referred as the fundamental problem of cloud computing [2]. We have used various tools and techniques including design patterns, game theory, the Stackelberg game, the demand-supply principle, and technical analysis, etc. to solve the resource allocation problem. This chapter introduces the above tools, techniques, and concepts and relates them to their usefulness and applicability to this problem.

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