DocumentCode
2911509
Title
Redefining tactical operations for MER using cloud computing
Author
Joswig, Joseph C. ; Shams, Khawaja S.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear
2011
fDate
5-12 March 2011
Firstpage
1
Lastpage
7
Abstract
The Mars Exploration Rover Mission (MER) includes the twin rovers, Spirit and Opportunity, which have been performing geological research and surface exploration since early 2004. The rovers´ durability well beyond their original prime mission (90 sols or Martian days) has allowed them to be a valuable platform for scientific research for well over 2000 sols, but as a by-product it has produced new challenges in providing efficient and cost-effective tactical operational planning. An early stage process adaptation was the move to distributed operations as mission scientists returned to their places of work in the summer of 2004, but they would still came together via teleconference and connected software to plan rover activities a few times a week. This distributed model has worked well since, but it requires the purchase, operation, and maintenance of a dedicated infrastructure at the Jet Propulsion Laboratory. This server infrastructure is costly to operate and the periodic nature of its usage (typically heavy usage for 8 hours every 2 days) has made moving to a cloud based tactical infrastructure an extremely tempting proposition. In this paper we will review both past and current implementations of the tactical planning application focusing on remote plan saving and discuss the unique challenges present with long-latency, distributed operations. We then detail the motivations behind our move to cloud based computing services and as well as our system design and implementation. We will discuss security and reliability concerns and how they were addressed.
Keywords
astronomy computing; cloud computing; planetary rovers; reliability; security of data; Jet Propulsion Laboratory; Mars exploration rover mission; cloud computing; cloud computing service; distributed model; geological research; remote plan saving; surface exploration; tactical operational planning; Databases; Downlink; Instruments; Mars; Planning; Servers; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2011 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
978-1-4244-7350-2
Type
conf
DOI
10.1109/AERO.2011.5747555
Filename
5747555
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