Abstract
Providing and managing e-health data from heterogeneous and ubiquitous e-health service providers in a content distribution network (CDN) for providing e-health services is a challenging task. A content distribution network is normally utilized to cache e-health media contents such as real-time medical images and videos. Efficient management, storage, and caching of distributed e-health data in a CDN or in a cloud computing environment of mobile patients facilitate that doctors, health care professionals, and other e-health service providers have immediate access to e-health information for efficient decision making as well as better treatment. Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. Many caching approaches are proposed, but the SACCS—Scalable Asynchronous Cache Consistency Scheme—has proved to be more scalable than the others. In this work, we propose a new cache replacement algorithm—Profit SACCS—that is based on the rule-based least profit value. It replaces the least recently used strategy that SACCS uses. A comparison with different cache replacement strategies is also presented.
Highlights
Mobile cloud computing, which combines mobile computing and cloud computing, has gained momentum since 2009
We implemented the Profit Scalable Asynchronous Cache Consistency Scheme (SACCS) algorithm and created a simulation environment written in the C++ programming language
As for the query delay criteria, it is set at zero when a queried data entry is found in mobile unit cache; if the requested data object needs to be fetched from the mobile support station the query delay is set to be the time span between query response and query initiation
Summary
Mobile cloud computing, which combines mobile computing and cloud computing, has gained momentum since 2009. Caching frequently accessed data items is a very important and promising technique in mobile computing. Two approaches were proposed for maintaining cache consistency between users and servers: the stateful approach and the stateless approach Combining both approaches, the Scalable Asynchronous Cache Consistency Scheme was proposed with the least recently used (LRU) replacement algorithm [2]. We implement the rule-based least profit value (R-LPV) with SACCS, which we call Profit SACCS, and compare it with other strategies of cache replacement. Mobile Information Systems (ii) We proposed a rule-based least profit value as a replacement strategy for cache in a mobile e-healthcare system. (iii) We present our enhanced SACCS algorithm that considers the data item caching parameters and the relationship of this item with the other items in the cache.
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