[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Sagar et al., 2022 - Google Patents

A survey of energy-aware server consolidation in cloud computing

Sagar et al., 2022

View PDF
Document ID
13952930734131126058
Author
Sagar S
Choudhary A
Ansari M
Govil M
Publication year
Publication venue
International Conference on Frontiers of Intelligent Computing: Theory and Applications

External Links

Snippet

Abstract In Cloud Data Centers (CDC), dynamic consolidation of Virtual Machines (VMs) is an efficient technique to increase resource usage and energy efficiency. Energy efficiency has become a new frontier in the virtualized cloud computing paradigm. Data centers must …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/44—Arrangements for executing specific programmes
    • G06F9/455—Emulation; Software simulation, i.e. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533—Hypervisors; Virtual machine monitors
    • G06F9/45558—Hypervisor-specific management and integration aspects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
    • G06F9/4856—Task life-cycle, e.g. stopping, restarting, resuming execution resumption being on a different machine, e.g. task migration, virtual machine migration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5083—Techniques for rebalancing the load in a distributed system
    • G06F9/5088—Techniques for rebalancing the load in a distributed system involving task migration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power Management, i.e. event-based initiation of power-saving mode
    • G06F1/3234—Action, measure or step performed to reduce power consumption
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring

Similar Documents

Publication Publication Date Title
Katal et al. Energy efficiency in cloud computing data centers: a survey on software technologies
Masdari et al. Efficient VM migrations using forecasting techniques in cloud computing: a comprehensive review
Zakarya Energy, performance and cost efficient datacenters: A survey
Hirofuchi et al. Reactive consolidation of virtual machines enabled by postcopy live migration
Tarafdar et al. Energy and quality of service-aware virtual machine consolidation in a cloud data center
Li et al. An optimization of virtual machine selection and placement by using memory content similarity for server consolidation in cloud
Bermejo et al. Virtualization and consolidation: a systematic review of the past 10 years of research on energy and performance
Uddin et al. Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: A review
Al-Dulaimy et al. Type-aware virtual machine management for energy efficient cloud data centers
Zakarya et al. An energy aware cost recovery approach for virtual machine migration
Patel et al. Energy-aware prediction-based load balancing approach with VM migration for the cloud environment
Wang et al. Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform
Ferdaus et al. Energy-aware virtual machine consolidation in IaaS cloud computing
Surendran et al. How to improve the resource utilization in cloud data center?
Aldossary A Review of Dynamic Resource Management in Cloud Computing Environments.
Singh et al. A study on energy consumption of dvfs and simple vm consolidation policies in cloud computing data centers using cloudsim toolkit
Tuli et al. Efficient virtual machine migration algorithms for data centers in cloud computing
Sharma et al. A review on secure and energy efficient approaches for green computing
Bhardwaj et al. Improving the performance of pre-copy virtual machine migration technique
Sagar et al. A survey of energy-aware server consolidation in cloud computing
Dhule et al. POF-SVLM: pareto optimized framework for seamless VM live migration
Thiam et al. Energy efficient cloud data center using dynamic virtual machine consolidation algorithm
Annadanam et al. Intermediate node selection for Scatter-Gather VM migration in cloud data center
Anu et al. IALM: Interference aware live migration strategy for virtual machines in cloud data centres
Priyanka et al. The challenges in virtual machine live migration and resource management