The basic idea is to let each caching node be only responsible for refreshing a specific set of caching nodes, so as to maintain cache freshness in a distributed and hierarchical manner.
Abstract:
Opportunistic mobile networks consist of personal mobile devices which are intermittently connected with each other. Data access can be provided to these devices via cooperative caching without support from the cellular network infrastructure, but only limited research has been done on maintaining the freshness of cached data which may be refreshed periodically and is subject to expiration. In this paper, we propose a scheme to efficiently maintain cache freshness. Our basic idea is to let each caching node be only responsible for refreshing a specific set of caching nodes, so as to maintain cache freshness in a distributed and hierarchical manner. Probabilistic replication methods are also proposed to analytically ensure that the freshness requirements of cached data are satisfied. Extensive trace driven simulations show that our scheme significantly improves cache freshness, and hence ensures the validity of data access provided to mobile users.
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Q1. What are the contributions mentioned in the paper "Distributed maintenance of cache freshness in opportunistic mobile networks" ?
In this paper, the authors propose a scheme to efficiently maintain cache freshness. Extensive tracedriven simulations show that their scheme significantly improves cache freshness, and hence ensures the validity of data access provided to mobile users.
Q2. Why is data forwarded in a “carry-and-forward” manner?
Due to the intermittent network connectivity in opportunistic mobile networks, data is forwarded in a “carry-and-forward” manner.
Q3. What is the effect of intentional refreshing on the cache freshness of data?
Due to possible version inconsistency among different data copies cached in the DAT, opportunistic refreshing may have some side-effects on cache freshness.
Q4. How many times did the decay of the CCDF of the inter-refreshing time?
Their results show that up to a boundary on the order of several minutes, the decay of the CCDF is well approximated as exponential.
Q5. What is the effect of changing the value of p on the refreshing overhead?
since different values of 𝑝 do not affect the calculation of utilities of data updates, such increase of refreshing overhead is relatively smaller than that of decreasing Δ.Section IV-C shows that the refreshing patterns of web RSS data is temporally skewed, such that the majority of data updates are generated during specific time periods of a day.
Q6. How is the performance of the proposed scheme evaluated?
The performance of their proposed scheme on maintaining cache freshness is evaluated by extensive tracedriven simulations on realistic mobile traces.
Q7. What is the effect of reducing the refreshing delay?
From Figure 12 the authors observe that, when the value of Δ is small, the cache freshness is mainly constrained by the network contact capability, and the actual refreshing delay is much higher than the required Δ. Such inability to satisfy the cache freshness requirements leads to more replications of data updates as described in Section V-B, and makes caching nodes more prone to perform opportunistic refreshing.