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“LOAD BALANCING TECHNIQUES
KEY CHALLENGES IN CLOUD COMPUTING- A LOGICAL REVIEW”
Ashwin V. Didolkar#1
#1. Department of Computer Science & Engineering, Wainganga College of Engineering & Management, Rashtrasant Tukdoji Maharaj Nagpur University, Maharashtra, India. a1v22d4@gmail.com
Abstract: - Cloud Computing has now become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modelling tools as a service, social network as a service), and business cloud (e.g., business process as a service). Thus it supplies high performance computing facilities which allow shared computation and storage over variable distances. To properly manage the resources of the service provider it is necessary to balance the load of the jobs that are submitted to the service provider. Thus, to ensure that no single node is overloaded the Load balancing techniques help in optimal utilization of resources and hence in enhancing the performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. This determines the need of new metrics, energy consumption and carbon emission for energy-efficient load balancing in cloud computing. This paper mainly focuses on the concept of load balancing technique in cloud computing, the
KEY CHALLENGES IN CLOUD COMPUTING- A LOGICAL REVIEW”
Ashwin V. Didolkar#1
#1. Department of Computer Science & Engineering, Wainganga College of Engineering & Management, Rashtrasant Tukdoji Maharaj Nagpur University, Maharashtra, India. a1v22d4@gmail.com
Abstract: - Cloud Computing has now become a scalable services consumption and delivery platform in the field of Services Computing. The technical foundations of Cloud Computing include Service-Oriented Architecture (SOA) and Virtualizations of hardware and software. The goal of Cloud Computing is to share resources among the cloud service consumers, cloud partners, and cloud vendors in the cloud value chain. The resource sharing at various levels results in various cloud offerings such as infrastructure cloud (e.g., hardware, IT infrastructure management), software cloud (e.g. SaaS focusing on middleware as a service, or traditional CRM as a service), application cloud (e.g., Application as a Service, UML modelling tools as a service, social network as a service), and business cloud (e.g., business process as a service). Thus it supplies high performance computing facilities which allow shared computation and storage over variable distances. To properly manage the resources of the service provider it is necessary to balance the load of the jobs that are submitted to the service provider. Thus, to ensure that no single node is overloaded the Load balancing techniques help in optimal utilization of resources and hence in enhancing the performance of the system. The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. This determines the need of new metrics, energy consumption and carbon emission for energy-efficient load balancing in cloud computing. This paper mainly focuses on the concept of load balancing technique in cloud computing, the
References: [19] H. Liu, S. Liu, X. Meng, C. Yang, and Y. Zhang, “LBVS: A Load Balancing Strategy for Virtual Storage”, International Conference on Service Sciences (ICSS), IEEE, 2010, pages 257-262. [20] Y [21] YashpalsinhJadeja, KiritModi, 2012 "Cloud Computing- Concepts, Architecture and Challenges"International Conference on Computing, Electronics and Electrical Technologies, IEEE, pp: 4/12. [22] M