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Greener Method for Sensitive Data Allocation Across Storage Cloud

IP.com Disclosure Number: IPCOM000210319D
Publication Date: 2011-Aug-30
Document File: 5 page(s) / 90K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method to reduce the carbon footprint as well as the operational costs of cloud computing, especially in cases where increased levels of processing due to secure delete functions are likely to consume more power. The invention leverages the geographically distributed datacenters in the cloud to intelligently determine in which datacenter the data should be placed in order to more efficiently utilize available resources and reduce costs.

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Greener Method for Sensitive Data Allocation Across Storage Cloud

Cloud computing is a computing paradigm in which tasks are assigned to a combination of connections, software, and services accessed over a network. This network of servers and connections is collectively known as 'the cloud'. Storage cloud providers usually have various datacenters located all over the world to support clients from different parts of the world while reducing the network delay in the service.

With cloud computing, when the client data physically resides with the cloud provider, there is a greater need to exercise secure delete in order to ensure that the data cannot be recovered by the provider or its other clients. Secure purging of data at file level to meet secure delete requirements is the most common approach. Some of the delete operations over a filesystem can be extended to support different specifications of data remanence to implement secure delete. Since data remanence involves multiple levels of writing with different formats (depending upon the specification being implemented), it proves to be costly for system performance as it is performing multiple input/output (I/O) operations. With increased processing, more power is consumed, and more heat is dissipated. Mechanisms to cool storage arrays or storage clouds directly impact electric power consumption and subsequently on the cost and carbon footprints associated with it. The proposed solution helps towards an economic cloud enablement.

Due to secure delete, there is a continuous and extensive data write over a particular disk (or array of disks in a clustered environment running over a storage cloud). Such accesses results in increased heat dissipation from the disks, thus asking for increased cooling effect and increased energy consumption as well as more cost. None of the existing art over data placement make intelligent use of the geographically spread cloud environment where the physical datacenters are located at different locations having different climates, cost for cooling needs, cost of Carbon credits, cost of power, cost for floor space, etc., to reduce the cost.

Unlike the traditional or current system, the proposed method makes optimum use of the distributed datacenters in a cloud disk for data placement operation ruled by the above mentioned factors.

Figure 1: Holistic view of the disclosed system

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The core idea is to leverage the geographically distributed datacenters in the cloud to intelligently determine the datacenter where the data should be placed so that the least amount of carbon footprints would be used in order to reduce the total cost. The system takes into consideration various factors like different climates, cost for cooling needs, cost of Carbon credits, cost of Power, cost for floor space, etc., to determine the datacenter with the least expenses to store the data to be securely delet...