Architectural support for mobile objects in large scale distributed systems

Proceedings of International Workshop on Object Orientation in Operating Systems ◽

10.1109/iwoos.1995.470581 ◽

2002 ◽

Cited By ~ 2

Author(s):

S.J. Caughey ◽

S.K. Shrivastava

Keyword(s):

Distributed Systems ◽

Large Scale ◽

Architectural Support ◽

Mobile Objects

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An Integrated Specification and Verification Environment for Component-Based Architectures of Large-Scale Distributed Systems

10.21236/ada501823 ◽

2009 ◽

Cited By ~ 1

Author(s):

John Hatcliff ◽

Torben Amtoft ◽

Anindya Banerjee

Keyword(s):

Distributed Systems ◽

Large Scale ◽

Specification And Verification

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Workshop on large-scale distributed systems for information retrieval

ACM SIGIR Forum ◽

10.1145/1328964.1328979 ◽

2007 ◽

Vol 41 (2) ◽

pp. 83-88

Author(s):

Flavio P. Junqueira ◽

Vassilis Plachouras ◽

Fabrizio Silvestri ◽

Ivana Podnar

Keyword(s):

Information Retrieval ◽

Distributed Systems ◽

Large Scale

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Large-Scale Object Monitoring in Internet-of-Things: Energy-Efficient Perspectives

Electronics ◽

10.3390/electronics10040461 ◽

2021 ◽

Vol 10 (4) ◽

pp. 461

Author(s):

Yongbin Yim ◽

Euisin Lee ◽

Seungmin Oh

Keyword(s):

Energy Efficient ◽

Large Scale ◽

Future Research ◽

Technological Evolution ◽

Node Density ◽

Mobile Objects ◽

Research Challenges ◽

Energy Efficient Communication ◽

Efficient Communication ◽

Architectural Principles

Recently, the demand for monitoring a certain object covering large and dynamic scopes such as wildfires, glaciers, and radioactive contaminations, called large-scale fluid objects (LFOs), is coming to the fore due to disasters and catastrophes that lately happened. This article provides an analytic comparison of such LFOs and typical individual mobile objects (IMOs), namely animals, humans, vehicles, etc., to figure out inherent characteristics of LFOs. Since energy-efficient monitoring of IMOs has been intensively researched so far, but such inherent properties of LFOs hinder the direct adaptation of legacy technologies for IMOs, this article surveys technological evolution and advances of LFOs along with ones of IMOs. Based on the communication cost perspective correlated to energy efficiency, three technological phases, namely concentration, integration, and abbreviation, are defined in this article. By reviewing various methods and strategies employed by existing works with the three phases, this article concludes that LFO monitoring should achieve not only decoupling from node density and network structure but also trading off quantitative reduction against qualitative loss as architectural principles of energy-efficient communication to break through inherent properties of LFOs. Future research challenges related to this topic are also discussed.

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