Abstract
The cloud data center consumes massively more and more energy which is considered inacceptable. Therefore further efforts are needed to improve the energy efficiency of such data centers by using Server Consolidation to minimize the number of Active Physical Machines (APMs) in a data center setting. Strategies for positioning and transformation of VM maintain their usefulness as a roadmap to maximum consolidation. The latest techniques do complex restructuring, thus optimizing VM's positioning. The paper provides a detailed state-of - the-art strategies for VM positioning and consolidation that help improve energy efficiency in cloud data centers. A comparison is provided here between the strategies that revealed the worthiness, limitations and suggestions of strengthening other methods along the way.
Highlights
Cloud data centers result in high energy consumption and a significant amount of carbon footprints are generated which can be described as the 21st century's biggest challenge
In [24], the author suggested that a constructive way of consolidating would be primarily to explain the virtual machine (VM) placement algorithms and procedures used to find an optimal solution to the VM placement issue
There are a number of virtual machine techniques for energy efficiency which have centered in a cloud environment on the subject of energy efficient and resource management
Summary
Cloud data centers result in high energy consumption and a significant amount of carbon footprints are generated which can be described as the 21st century's biggest challenge. Several prominent cloud providers, including Google, Amazon, Microsoft and IBM, are positive about achieving zero carbon footprint growth and are looking for new ways to render environmentally friendly CDCs and cloud-based services [16, 17] Such extraordinary energy consumption will lead to excessive carbon dioxide (CO2) emissions which contribute to global warming. Most of the current energy-aware resource management techniques and policies focus primarily only on energy-reduction VM server placement, without considering other resources such as networks, storage, memory, and cooling system which consumes huge amounts of energy This problem can be solved if the energy consumption and SLAs are handled at the same time. Researchers are currently doing their best on the issue at hand, more is needed to ensure that the Energyefficient and Service Level Agreement (SLA) is reached at the same time to reduce operating costs and meet the needs of consumers
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