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Benefit Of Using Power-Aware Provisioning In Real-Time Cloud Services

Benefit of using Power-Aware Provisioning in Real-Time Cloud Services

There’s a growing trend of abbreviating anything you put on the Cloud as (Anything) as a Service or XaaS paradigm and with the increasing deployment of the Cloud based platform in the practical domains, the issues of power consumption and dynamic power allocation have begun to surface. Power aware provisioning of virtual machines for real-time services is the need of the hour and there are many schemes under active R&D with the intention to minimize the power consumption within the Cloud based environments. Power smart Clouds are not only cost effective but they also are of great utility for the enterprise level Cloud migrations where serviceability and power management is dedicated issue to address.  Cloud based Dynamic Voltage Frequency Scaling (DVFS) schemes are in practice for the smart power aware Clouds. These schemes do not only make the Cloud performance optimized in the real time environments, it also makes it much easier to handle the power complexities of the Cloud.

Cluster based request handling on the Cloud heterogeneous clusters is also a smart strategy to establish power aware environments across the Cloud platforms. Whenever there is a request to a heuristic system or Cloud node for resource, multidimensional bin packing is used to find a server to allocate the request. If the slot is available then the resource allocation takes place, otherwise a new machine is switched on along with from scratch for allocation of new resources. SLA based Cloud computing paradigms are also useful in introducing the new higher resource utilization and decreased power consumption trends in the Cloud computing. The peculiar progression in the real time Cloud based updation systems is the real task ahead. There are complex algorithms which are responsible for on the go installation and deployment of the machine resources. Whenever there is a request from the end user, the penalty function works at the back end to calculate the diminishing value of the power required to run the machine level interfaces.

In the real time power saving algorithms, the hypervisor and VM gives a broker through which the requestor of the service always interacts with Cloud. If the machine is available, the resources are located for the time which is always less than the penalty time. If the allocated timeslot is increased, the penalty time limit starts with a controlled resource allocation process in which power saving modes is switched on.  The real time resource provisioning always helps the Dynamic Power Management Techniques (DPM) to come into action and deplete the power resources allocated to the zombie devices which are not in use. The real time Cloud based power smart algorithms are being developed for increased performance and minimized latency to boost up the Cloud computing capabilities in enterprise domains.

By Salman UI Haq

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