TY - GEN
T1 - SCIMITAR
T2 - 2013 IEEE Military Communications Conference, MILCOM 2013
AU - Rohloff, Kurt
AU - Cleveland, Jeffrey
AU - Loyall, Joseph
AU - Blocher, Timothy
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Current sensor collection capabilities produce an incredible amount of data that needs to be processed, analyzed, and distributed in a timely and efficient manner. Information Management (IM) services supporting a publish-subscribe and query paradigm can be a powerful general purpose approach to enabling this information exchange between decoupled and dynamic information producers and consumers. These IM services will only be of value, however, if they can support operations in a manner that is responsive to the sheer quantity and frequency of data produced by surveillance platforms. Cloud computing is the technology of choice for providing the resources and services needed to enable and mange large-scale distributed computation. To date, there has been little work to develop highly scalable, dynamic IM processing and dissemination services in a cloud computing environment. In this paper we discuss our design, implementation and evaluation of a prototype cloud-based information broker which is a critical component of a highly scalable, distributed IM System. The brokering prototype is designed using a distributed stream processing framework and is shown to scale nearly linearly with the number of computing nodes as information load and subscription quantity increases.
AB - Current sensor collection capabilities produce an incredible amount of data that needs to be processed, analyzed, and distributed in a timely and efficient manner. Information Management (IM) services supporting a publish-subscribe and query paradigm can be a powerful general purpose approach to enabling this information exchange between decoupled and dynamic information producers and consumers. These IM services will only be of value, however, if they can support operations in a manner that is responsive to the sheer quantity and frequency of data produced by surveillance platforms. Cloud computing is the technology of choice for providing the resources and services needed to enable and mange large-scale distributed computation. To date, there has been little work to develop highly scalable, dynamic IM processing and dissemination services in a cloud computing environment. In this paper we discuss our design, implementation and evaluation of a prototype cloud-based information broker which is a critical component of a highly scalable, distributed IM System. The brokering prototype is designed using a distributed stream processing framework and is shown to scale nearly linearly with the number of computing nodes as information load and subscription quantity increases.
KW - Cloud computing
KW - Information brokering
KW - Publish-subscribe
KW - Sensor
KW - Stream computing
UR - http://www.scopus.com/inward/record.url?scp=84897713276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897713276&partnerID=8YFLogxK
U2 - 10.1109/MILCOM.2013.313
DO - 10.1109/MILCOM.2013.313
M3 - Conference contribution
AN - SCOPUS:84897713276
SN - 9780769551241
T3 - Proceedings - IEEE Military Communications Conference MILCOM
SP - 1856
EP - 1861
BT - Proceedings - 2013 IEEE Military Communications Conference, MILCOM 2013
Y2 - 18 November 2013 through 20 November 2013
ER -