LIME: a middleware for physical and logical mobility

By Amy Lynn Murphy, Gian Pietro Picco, Gruia-Catalin Roman. Proceedings 21st International Conference on Distributed Computing Systems, 2001

510 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mobile ad hoc networking: imperatives and challenges (2003, background): “Their emphasis is on supporting transient data sharing [195] between nodes in communication range, data replication for disconnected operations [183], or both [116].”
Environments for Multiagent Systems State-of-the-Art and Research Challenges (2004, methodology): “Throughout the years variants for distributed computing appeared, such as MARS [15], Sun’s JavaSpaces [77] and LIME [57].”
Middleware for Internet of Things: A Survey (2016, unknown): “Probabilistic resource (e.g., service) registries and discovery [45], [97], [180] can be scalable, though may not work well in applications (e.g., mission critical applications) that need guaranteed discovery of resources with high accuracy.”
Middleware to support sensor network applications (2004, background): “Therefore, DSWare can transparently manage sensor failures as long as enough sensors remain in an area to provide a valid measurement.”
Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications (2005, unknown): “L IME [22] was the ﬁrst successful attempt at using mobile agents and tuple spaces in wireless ad hoc networks.”
Environment as a first class abstraction in multiagent systems (2007, methodology): “Throughout the years, variants for distributed computing appeared, such as Sun’s JavaSpaces [28], TuCSoN [55], MARS [12], and LIME [ 46 ].”