A Cloud Computing Survey: Developments and Future Trends in Infrastructure as a Service Computing

Cloud computing is a recent paradigm based around the notion of delivery of resources via a service model over the Internet. Despite being a new paradigm of computation, cloud computing owes its origins to a number of previous paradigms. The term cloud computing is well defined and no longer merits rigorous taxonomies to furnish a definition. Instead this survey paper considers the past, present and future of cloud computing. As an evolution of previous paradigms, we consider the predecessors to cloud computing and what significance they still hold to cloud services. Additionally we examine the technologies which comprise cloud computing and how the challenges and future developments of these technologies will influence the field. Finally we examine the challenges that limit the growth, application and development of cloud computing and suggest directions required to overcome these challenges in order to further the success of cloud computing.

[1]  Eric A. Brewer,et al.  Towards robust distributed systems (abstract) , 2000, PODC '00.

[2]  Ju Wang,et al.  Windows Azure Storage: a highly available cloud storage service with strong consistency , 2011, SOSP.

[3]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[4]  Jaroslav Pokorny.  NoSQL databases: a step to database scalability in web environment , 2011, iiWAS '11.

[5]  Matei Ripeanu,et al.  Amazon S3 for science grids: a viable solution? , 2008, DADC '08.

[6]  Willy Zwaenepoel,et al.  Diagnosing performance overheads in the xen virtual machine environment , 2005, VEE '05.

[7]  V. Kavitha,et al.  A survey on security issues in service delivery models of cloud computing , 2011, J. Netw. Comput. Appl..

[8]  Tim Mather,et al.  Cloud Security and Privacy - An Enterprise Perspective on Risks and Compliance , 2009, Theory in practice.

[9]  Richard Wolski,et al.  The Eucalyptus Open-Source Cloud-Computing System , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.

[10]  J. Chris Anderson,et al.  CouchDB: The Definitive Guide , 2010 .

[11]  Dana Petcu,et al.  Towards a Cross Platform Cloud API - Components for Cloud Federation , 2011, CLOSER.

[12]  Kristina Chodorow,et al.  MongoDB: The Definitive Guide , 2010 .

[13]  Nancy A. Lynch,et al.  Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services , 2002, SIGA.

[14]  Thomas Erl,et al.  Service-Oriented Architecture: Concepts, Technology, and Design , 2005 .

[15]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[16]  Werner Vogels,et al.  Building reliable distributed systems at a worldwide scale demands trade-offs between consistency and availability. , 2022 .

[17]  Andrew Edmonds,et al.  Open cloud computing interface , 2011 .

[18]  Neal Leavitt,et al.  Will NoSQL Databases Live Up to Their Promise? , 2010, Computer.

[19]  Wilson C. Hsieh,et al.  Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.

[20]  Kevin Lee,et al.  Data Consistency Properties and the Trade-offs in Commercial Cloud Storage: the Consumers' Perspective , 2011, CIDR.

[21]  K. Popovic,et al.  Cloud computing security issues and challenges , 2010, The 33rd International Convention MIPRO.

[22]  Dan Pritchett,et al.  BASE: An Acid Alternative , 2008, ACM Queue.

[23]  Lei Gao,et al.  Serving large-scale batch computed data with project Voldemort , 2012, FAST.

[24]  Prashant Malik,et al.  Cassandra: a decentralized structured storage system , 2010, OPSR.

[25]  Calton Pu,et al.  Empirical analysis of database server scalability using an N-tier benchmark with read-intensive workload , 2010, SAC '10.

[26]  Beng Chin Ooi,et al.  The Claremont report on database research , 2008, SGMD.