Abstract
In the recent years, the demand for data processing has been on the rise prompting researchers to investigate new ways of managing data. Our research delves into the emerging trends of data management methods, one of which is the agent based techniques and the active disk technology and also the use of Map-reduce functions in unstructured data management. Motivated by this new trend, our architecture employs mobile agents technology to develop an open source framework called SPADE to implement a simulation platform called SABSA. The architecture in this research compares the performance of four network storage architectures: Store and forward processes(SAF), Object Storage Devices(OSD), Mobile agent with a Domain Controller (DMC) enhanced with map-reduce function and Mobile agent with a Domain Controller and child DMC enhanced with Map-reduce (ABMR): both handling sorted and unsorted metadata. In order to accurately establish the performance improvements in the new hybrid agent based models and map-reduce functions, an analytic simulation model on which experiments based on the identified storage architectures were performed was developed and then analytical data and graphs were generated. The results indicated that all the agents based storage architectures minimize latencies by up to 45 % and reduce access time by up to 21% compared to SAF and OSD.
Highlights
Virtualization is a critical determinant which defines the path distributed storage array systems should follow in order to succeed
The unsorted metadata remains as case ii above. iv) Mobile agent based Domain Controller with child DMC controllers enhanced with Map-reduce- Case 2 above can further be decentralized to create more child processes distributed and controlled by a centralized agent controller still referred to as the domain controller
As observed from the previous analysis, all cases indicate that sorting of metadata and caching it will make this system faster than their counter-parts with centralized metadata
Summary
Virtualization is a critical determinant which defines the path distributed storage array systems should follow in order to succeed. [54] further compared SAD and NASD and demonstrated that by keeping a copy of the disk there was a penalty on performance and scalability he further demonstrated an improved security mechanisms using tokenization on these platforms. He concluded that such systems can be improved by use of Object storage management schemes and he proposed further work on mobile agent and mobile code migration on a distributed network
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