Student presentations

David Adams –

  1. Cost effectiveness and performance of cloud computing, specifically EC2 versus other mediums for scientific applications and possibly general application. This would probably compare EC2 to such things as desktop/distributed grids, supercomputers, traditional dedicated servers, private clouds and anything with overlapping utility in the area of scientific computation and commercial application. I would be interested in doing cost comparisons as well as performance metrics if that information is available.
  1. Databases for transaction-oriented systems

RaghuAvula -

  1. CCOA - Cloud Computing Open Architecture
  • The Power of Service Oriented Architecture
  • Case Studies on Infrastructure and Business Cloud
  • Potential Value Added services of the proposed CCOA
  1. Community Cloud Computing.

Cloud Computing (C3) offers an alternative architecture,created by combing the Cloud with paradigms from Grid Computing, principles from Digital Ecosystems, and sustainability from Green Computing, while remaining true to the original vision of the Internet. It is more technically challenging than Cloud Computing, having to deal with distributed computing issues, including heterogeneous nodes, varying quality of service, and additional security constraints. However, these are not insurmountable challenges, and with the need to retain control over our digital lives and the potential environmental consequences, it is a challenge we must pursue.

SurbhiBhardwaj –

1.Security issues on the cloud:

  1. Controlling Data in the Cloud:Outsourcing Computation without Outsourcing Control by Richard Chow, Philippe Golle

chow.pdf?ip=132.170.217.12&acc=ACTIVE%20SERVICE&CFID=155561401&CFTOKEN=16399589&__acm__=1347409745_c2ef36bddb73a3526d24ac5bb5575157

  1. Cloud Security with Virtualized Defense and Reputation-based Trust Management by Kai Hwang, SameerKulkarni, YueHu

2.Storage area networks and SANTK by S. Bo Strand

Brendan Lynch –

  1. Virtualization
  2. Locks

Abdullah Mahmud –

  1. Scheduling algorithms for computing clouds
  2. Optimal resource allocation and task scheduling optimization challenges in cloud

Martin Kyle -

  1. M. Smit, M. Shtern, B. Simmons, and M. Litoiu, “Partitioning Applications for Hybrid and Federated Clouds,” in /CASCON ’12: Proceedings of the 2012 conference of the Center for Advanced Studies on collaborative research/, 2012, p. To Appear.
  2. S. Pearson and A. Benameur, “Privacy, Security and Trust Issues Arising from Cloud Computing,” in /2010 IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom)/, 2010, pp. 693 –702.

Bart Miller –

RamyaPradhan –

  1. H C. Lim, S. Babu, J. S. Chase, S. S. Parekh. “Automated control in cloud comput-
    ing: challenges and opportunities.” Proc. First Workshop on Automated Control for
    Datacenters and Clouds,, ACM Press, pp. 13–18, 2009.
  1. M. Wang, N. Kandasamy, A. Guez, and M. Kam. “Adaptive performance control
    of computing systems via distributed cooperative control: application to power man-
    agement in computer clusters.” Proc. 3rd Intl. Conf. on Autonomic Computing, pp.
    165–174, 2006.

James Schneider –

  1. Scale Free Networks
  2. Submodularity

GurkanSolmaz –

  1. Presentation of Paxos algorithm in detail
  2. Applications of Paxos algorithm

William Strickland –

  1. AWC – August 2012
  2. Intercloud topology and security (Intercloud Security Considerations, Bernstein & Vij)

GaneshSundaresan -

1. The Eucalyptus Open-Source Cloud-Computing System
2. Parallel Computing with MATLAB on Amazon EC2