Memory Utilization Techniques for Cloud Resource Management in Cloud Computing Environment: A Survey

2018 ◽  
Author(s):  
Prashant Lakkadwala ◽  
Priyesh Kanungo
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Resource Management ◽  
Cloud Resource ◽  
Memory Utilization

Research on Novel Effective Resource Management in Cloud Computing

2013 ◽  
Vol 278-280 ◽  
pp. 2077-2080
Author(s):  
Fu Fang Li ◽  
Dong Qing Xie ◽  
De Yu Qi ◽  
Ling Xi Peng ◽  
Guo Wen Xie
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Scheduling Algorithm ◽  
Hash Table ◽  
Effective Theory ◽  
Distributed Hash Table ◽  
Cloud Computing Environment ◽  
Cloud Resource Management ◽  
Cloud Resource ◽  
Better Than

Cloud computing has been extensively focused by both industry and academia. Resource management and scheduling is a basic and important problem in cloud computing environment. This paper proposes a new and effective cloud resource management model and scheduling algorithm based on fuzzy clustering and Distributed hash Table. By introducing effective theory and technology, the proposed approach can: (1) subtly assign the appropriate resources to the requestors that exactly satisfy its’ needs of resources, while effectively avoid unreasonable scheduling of resources; (2) rapidly and effectively locate the resources that literally satisfy the needs of the resource requestor. Simulation experiments show that the proposed approach works better than similar algorithms.

Mobile Cloud Resource Management

2016 ◽  
pp. 1747-1773
Author(s):  
Konstantinos Katzis
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Mobile Cloud Computing ◽  
Finite Energy ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Seamless Integration ◽  
Cloud Resource Management ◽  
Cloud Resource ◽  
Management Techniques

Providing mobile cloud services requires seamless integration between various platforms to offer mobile users optimum performance. To achieve this, many fundamental problems such as bandwidth availability and reliability, resource scarceness, and finite energy must be addressed before rolling out such services. This chapter aims to explore technological challenges for mobile cloud computing in the area of resource management focusing on both parts of the infrastructure: mobile devices and cloud networks. Starting with introducing mobile cloud computing, it then stresses the importance of resource management in the operation of mobile cloud services presenting various types of resources available for cloud computing. Furthermore, it examines the various types of resource management techniques available for mobile clouds. Finally, future directions in the field of resource management for mobile cloud computing environment are presented.

scholarly journals A Hybrid Technique for Server Consolidation in Cloud Computing Environment

2020 ◽  
Vol 20 (1) ◽  
pp. 36-52
Author(s):  
C. Vijaya ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Virtual Machine Placement ◽  
Hybrid Technique ◽  
Computing Environment ◽  
Placement Problem ◽  
Cloud Computing Environment ◽  
Server Consolidation ◽  
Memory Utilization

AbstractThe goal of data centers in the cloud computing environment is to provision the workloads and the computing resources as demanded by the users without the intervention of the providers. To achieve this, virtualization based server consolidation acts as a vital part in virtual machine placement process. Consolidating the Virtual Machines (VMs) on the Physical Machines (PMs) cuts down the unused physical servers, decreasing the energy consumption, while keeping the constraints for CPU and memory utilization. This technique also reduces the resource wastage and optimizes the available resources efficiently. Ant Colony Optimization (ACO) that is a well-known multi objective heuristic algorithm and Grey Wolf Algorithm (GWO) has been used to consolidate the servers used in the virtual machine placement problem. The proposed Fuzzy HAGA algorithm outperforms the other algorithms MMAS, ACS, FFD and Fuzzy ACS compared against it as the number of processors and memory utilization are lesser than these algorithms.

scholarly journals A Survey on Resource Management Techniques in Cloud Computing

2021 ◽  
Vol 9 (12) ◽  
pp. 857-861
Author(s):  
Kapil Tarey
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Software Systems ◽  
Management Technique ◽  
Computing Systems ◽  
Cloud Resource Management ◽  
Cloud Resource ◽  
Computer Environment ◽  
Paper Survey ◽  
Cloud Infrastructures

Abstract: Cloud computing refers to a computer environment in which traditional software systems, installations, and licensing concerns are replaced with comprehensive on demand," pay as you need" internet based services. In this scenario, many cloud customers can request multiple cloud resources at the same time. As a result, there should be a plan in place to ensure that resources must be prepared for the needy customer in proficient way in order complete their needs. In cloud computing systems, resource management is a critical and difficult issue. It must meet numerous service quality requirements and, as a result, reduce SLA violations. This paper survey different resource management technique for cloud infrastructures. Keywords: Cloud, Resource management and techniques

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