Hidenori Nakazato

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In this paper we present a new token based protocol for group mutual exclusion in distributed systems. The protocol uses one single token to allow multiple processes to enter the critical section for a common session. One of the significant characteristics of the protocol is - concurrency, throughput and waiting time can be regulated adjusting the time(More)
Divisible Load Theory (DLT) is an established mathematical framework to study Divisible Load Scheduling (DLS). However, traditional DLT does not address the scheduling of results back to source (i.e., result collection), nor does it comprehensively deal with system heterogeneity. In this paper, the dlsrchets (DLS with Result Collection on HETerogeneous(More)
Content Centric Networking (CCN), which is regarded as an innovational architecture of future network, is increasingly gaining attention in recent years. Based on the observation of current Internet usage, CCN presents a content-centric model which focuses on data distribution and retrieval. To enhance the efficiency of content distribution, In-network(More)
Divisible load theory (DLT) is an established mathematical framework to study divisible load scheduling (DLS). However, traditional DLT does not comprehensively deal with the scheduling of results back to source (i.e., result collection) on heterogeneous systems. In this paper, the DLSRCHETS (DLS with result collection on hetero- geneous systems) problem is(More)
Video traffic shares a large portion of the current Internet bandwidth. One of the objectives of designing Named Data Networking (NDN) is to reduce the burden of the large content delivery. Since mobile devices are the prime means of content access for many users, NDN is also required to support mobility. In this paper, we propose an architecture and(More)
MapReduce framework allows users to quickly develop big-data applications and process big-data effectively. However, unexpected malfunction may be found in cloud environment because a distributed system consists of several hardware, and this malfunction often causes delay of overall processing. MapReduce framework provides Speculative Execution (SE). SE(More)