Checkpointing

List of Articles Checkpointing

Open Access Article
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1 - A New Method for Transformation Techniques in Secure Information Systems
Hojatallah Hamidi
10.7508/jist.2016.01.003

20.1001.1.23221437.2016.4.13.1.1

The transformation technique relies on the comparison of parity values computed in two ways. The fault detection structures are developed and they not only detected subsystem faults but also corrected faults introduced in the data processing system. Concurrent parity va More

The transformation technique relies on the comparison of parity values computed in two ways. The fault detection structures are developed and they not only detected subsystem faults but also corrected faults introduced in the data processing system. Concurrent parity values techniques are very useful in detecting numerical error in the data processing operations, where a single fault can propagate to many output faults. Parity values are the most effective tools used to detect faults occurring in the code stream. In this paper, we present a methodology for redundant systems that allows to detect faults. Checkpointing is the typical technique to tolerate such faults. This paper presents a checkpointing approach to operate on encoded data. The advantage of this method is that it is able to achieve very low overhead according to the specific characteristic of an application. The numerical results of the multiple checkpointing technique confirm that the technique is more efficient and reliable by not only distributing the process of checkpointing over groups of processors. This technique has been shown to improve both the reliability of the computation and the performance of the checkpointing. Manuscript profile
Open Access Article
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2 - Reliable resource allocation and fault tolerance in mobile cloud computing
Zahra Najafabadi Samani Mohammad Reza Khayyam Bashi
10.7508/jist.2019.02.002

By switching the computational load from mobile devices to the cloud, Mobile Cloud Computing (MCC) allows mobile devices to offer a wider range of functionalities. There are several issues in using mobile devices as resource providers, including unstable wireless connec More

By switching the computational load from mobile devices to the cloud, Mobile Cloud Computing (MCC) allows mobile devices to offer a wider range of functionalities. There are several issues in using mobile devices as resource providers, including unstable wireless connections, limited energy capacity, and frequent location changes. Fault tolerance and reliable resource allocation are among the challenges encountered by mobile service providers in MCC. In this paper, a new reliable resource allocation and fault tolerance mechanism is proposed in order to apply a fully distributed resource allocation algorithm without exploiting any central component. The objective is to improve the reliability of mobile resources. The proposed approach involves two steps: (1) Predicting device status by gathering contextual information and applying TOPSIS to prevent faults caused by volatility of mobile devices, and (2) Adapting replication and checkpointing methods to fault tolerance. A context-aware reliable offloading middleware is developed to collect contextual information and manage the offloading process. To evaluate the proposed method, several experiments are run in a real environment. The results indicate improvements in success rates, completion time, and energy consumption for tasks with high computational load Manuscript profile

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