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Elastic Cloud Caches for Accelerating Service-Oriented Computations
 

Summary: Elastic Cloud Caches for Accelerating
Service-Oriented Computations
David Chiu Apeksha Shetty Gagan Agrawal
Department of Computer Science & Engineering
Ohio State University, Columbus, OH, 43210
Abstract--Computing as a utility, that is, on-demand access to
computing and storage infrastructure, has emerged in the form of
the Cloud. In this model of computing, elastic resource allocation,
i.e., the ability to scale resource allocation for specific applications,
should be optimized to manage cost versus performance. Meanwhile,
the wake of the information sharing/mining age is invoking a
pervasive sharing of Web services and data sets in the Cloud, and at
the same time, many data-intensive scientific applications are being
expressed as these services. In this paper, we explore an approach to
accelerate service processing in a Cloud setting. We have developed a
cooperative scheme for caching data output from services for reuse.
We propose algorithms for scaling our cache system up during peak
querying times, and back down to save costs. Using the Amazon
EC2 public Cloud, a detailed evaluation of our system has been
performed, considering speed up and elastic scalability in terms

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences