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Graph mining is widely used in fields like social network analysis. The synchronous vertex-centric frameworks strike better balance between the performance and ease-of-use, so they are widely used in realistic. However, traditional architectures of this type, like the vertex-based push architecture and GAS, are encumbered by high communication costs. In this paper we proposed a new replica-based push...
Memory deduplication improves memory density by merging identical memory pages in multi-tenanted cloud. However, memory deduplication is vulnerable to memory disclosure attacks and covert channel attacks. The covert channel bases on the difference in write access time on deduplicated memory pages that are re-created by Copy-on-Write technique. Prior works have shown that malicious attackers can make...
Reversible data hiding in encrypted images has attracted considerable attention from the communities of privacy security and protection. The success of the previous methods in this area has shown that a superior performance can be achieved by exploiting the redundancy within the image. Specifically, because the pixels in the local structures (like patches or regions) have a strong similarity, they...
Cloud computing drives the design and development of diverse programming models for massive data processing. the transformer programming framework aims to facilitate the building of diverse data-parallel programming models. transformer has two layers: a common runtime system and a model-specific system. using transformer, the authors show how to implement three programming models: dryad-like data...
With virtual machine technology, distributed services deployed in multiple cooperative virtual machines, such as multi-tier Web services, may reside on one physical machine. This situation requires an efficient inter-domain communication channel, and meanwhile transparency and security should be guaranteed, for diverse existing distributed applications are serving on plenty of machines. In this paper,...
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