Smart Metering the Clouds

Abstract

As cloud computing becomes increasingly pervasive, the data center energy consumption attributable to cloud computing is climbing, despite the clarion call of action to reduce consumption and reverse environmental effects. At the same time, the rising cost of energy -due to regulatory measures enforcing a "true cost" of energy coupled with finite natural resources rapidly diminishing, resulting in scarcityis refocusing IT leaders on efficiency and total cost of ownership (TCO), particularly in the context of the world-wide financial crisis. We propose a "smart metering" approach that encompasses all the stakeholders in the cloud computing ecosystem to achieve these twin goals of "energy conservation" and "demand response". As such, this paper introduces our initial thoughts on "smart metering" and various implications and implementation ideas related to it.

A survey on techniques for improving the energy efficiency of large-scale distributed systems

“…Cloud providers such as Salesforce.com, who offer to host entire websites of private companies [Hamm 2009], do not want to lose entire websites due to power outages or network access failures. Hence, outages and blackouts should be anticipated and taken into account in resource management policies [Singh and Vara 2009].…”

Sensors Enabled Patient Monitoring System Using Cloud Computing Concepts

“…If there is a query requested from a service/application; the query/response manager fetches data from the local database and sends it to the requester. Data is transmitted to the cloud so that the activity recognition engine in the cloud [12] can infer user activities. Ontology engine is used to make decision to respond to different Situations.…”

An economic model for green cloud

“…It is even more challenging to interpret the effects that changes in a service configuration would have on the power distributions across one or more VMs that a service is typically running in. Singh and Vara [14] introduces the notion of temporal pricing schemes which are based on the time/day/season etc of energy usage and assigning a corresponding price. However, any practical pricing scheme should not only take into considering temporal factors, but also the energy rating (green point) of the service configuration itself to make the marketplace truly sustainable, e.g.…”

“…Generally, prior pricing mechanisms take two approaches: (i) determining resource price based on current demand of the resource (without considering the uncertainty in change of demand based on user's likelihood of actually renting the resources) [14]; and (ii) determining resource price based on expected demand (using prior distribution without considering the current demand) [13]. The principal novelty of our approach is to determine price based on posterior distribution on demand after observing the customers' current demand and the prior distribution.…”