TY - JOUR
T1 - Resource Management in Clouds
T2 - Survey and Research Challenges
AU - Jennings, Brendan
AU - Stadler, Rolf
N1 - Funding Information:
We are grateful to colleagues who provided helpful comments and suggestions regarding this work, specifically: David Breitgand (IBM Research), Shane Dempsey (Arc Mediation), Lei Shi (WIT) and Fetahi Wuhib (Ericsson Research). This work was partially funded by Science Foundation Ireland via Grants 08/SRC/I1403 and 08/SRC/I1403-STTF11 and by the European Commission via FP7 Grant No. 612480.
Publisher Copyright:
© 2014, Springer Science+Business Media New York.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - Resource management in a cloud environment is a hard problem, due to: the scale of modern data centers; the heterogeneity of resource types and their interdependencies; the variability and unpredictability of the load; as well as the range of objectives of the different actors in a cloud ecosystem. Consequently, both academia and industry began significant research efforts in this area. In this paper, we survey the recent literature, covering 250+ publications, and highlighting key results. We outline a conceptual framework for cloud resource management and use it to structure the state-of-the-art review. Based on our analysis, we identify five challenges for future investigation. These relate to: providing predictable performance for cloud-hosted applications; achieving global manageability for cloud systems; engineering scalable resource management systems; understanding economic behavior and cloud pricing; and developing solutions for the mobile cloud paradigm.
AB - Resource management in a cloud environment is a hard problem, due to: the scale of modern data centers; the heterogeneity of resource types and their interdependencies; the variability and unpredictability of the load; as well as the range of objectives of the different actors in a cloud ecosystem. Consequently, both academia and industry began significant research efforts in this area. In this paper, we survey the recent literature, covering 250+ publications, and highlighting key results. We outline a conceptual framework for cloud resource management and use it to structure the state-of-the-art review. Based on our analysis, we identify five challenges for future investigation. These relate to: providing predictable performance for cloud-hosted applications; achieving global manageability for cloud systems; engineering scalable resource management systems; understanding economic behavior and cloud pricing; and developing solutions for the mobile cloud paradigm.
KW - Cloud computing
KW - Resource allocation
KW - Resource management
KW - Survey
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=84931011055&partnerID=8YFLogxK
U2 - 10.1007/s10922-014-9307-7
DO - 10.1007/s10922-014-9307-7
M3 - Article
AN - SCOPUS:84931011055
VL - 23
SP - 567
EP - 619
JO - Journal of Network and Systems Management
JF - Journal of Network and Systems Management
SN - 1064-7570
IS - 3
ER -