Byzantine Fault Tolerant Event Stream Processing for Autonomic Computing

Chai, Hua; Zhao, Wenbing

doi:10.1109/dasc.2014.28

Cited by 15 publications

(10 citation statements)

References 13 publications

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“…Rather, our objective is to develop efficient BFT solutions for collaborative editing systems by using a combination of lightweight mechanisms and by employing traditional BFT algorithms only when they are needed. This is inline with our previous research on other types of systems [7,20,24,25,30].…”

Section: Related Worksupporting

confidence: 76%

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Towards Trustworthy Collaborative Editing

Babi¹,

Zhao²

2017

Computers

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Real-time collaborative editing applications are drastically different from typical client-server applications in that every participant has a copy of the shared document. In this type of environment, each participant acts as both a client and a server replica. In this article, we elaborate on how to adapt Byzantine fault tolerance (BFT) mechanisms to enhance the trustworthiness of such applications. It is apparent that traditional BFT algorithms cannot be used directly because it would dictate that all updates submitted by participants be applied sequentially, which would defeat the purpose of collaborative editing. The goal of this study is to design and implement an efficient BFT solution by exploiting the application semantics and by doing a threat analysis of these types of applications. Our solution can be considered as a form of optimistic BFT in that local states maintained by each participant may diverge temporarily. The states of the participants are made consistent with each other by a periodic synchronization mechanism.

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Section: Related Worksupporting

confidence: 76%

“…For Byzantine agreement, we employ the PBFT algorithm [4]. In previous works [20,24,30,36], we have implemented the PBFT algorithms in Java for multiple systems. The implementation was adapted for the ACE editor.…”

Section: Resultsmentioning

confidence: 99%

Towards Trustworthy Collaborative Editing

Babi¹,

Zhao²

2017

Computers

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“…Byzantine fault tolerance has been intensely studied since Castro and Liskov revitalized this research field [4,25]. The strategy employed in this research is along the line of application-aware Byzantine fault tolerance [5–7,23,24,28–30]. The essence of this strategy is to minimize of use of traditional Byzantine agreement algorithms, which typically incurs high runtime overhead (in terms both latency and throughput), by exploiting application semantics [27].…”

Section: Related Workmentioning

confidence: 99%

Dependability enhancing mechanisms for integrated clinical environments

Zhao

Yang

2017

J Supercomput

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In this article, we present a set of lightweight mechanisms to enhance the dependability of a safety-critical real-time distributed system referred to as an integrated clinical environment (ICE). In an ICE, medical devices are interconnected and work together with the help of a supervisory computer system to enhance patient safety during clinical operations. Inevitably, there are strong dependability requirements on the ICE. We introduce a set of mechanisms that essentially make the supervisor component a trusted computing base, which can withstand common hardware failures and malicious attacks. The mechanisms rely on the replication of the supervisor component and employ only one input-exchange phase into the critical path of the operation of the ICE. Our analysis shows that the runtime latency overhead is much lower than that of traditional approaches.

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“…Furthermore, to enable publish-subscribe, a centralized server would be required. To avoid making this centralized serve a single-point of failure, redundant servers would be needed, which would require sophisticated fault tolerance mechanisms [33][34][35][36][37][38]. Such an approach would significantly increase the cost and complexity of the system, which is neither needed nor desirable.…”

Section: Multi-room Support Designmentioning

confidence: 99%

Design, Implementation, and Field Testing of a Privacy-Aware Compliance Tracking System for Bedside Care in Nursing Homes

Zhao

Reinthal

et al. 2017

ASI

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Lower back musculoskeletal disorders are pervasive in workplaces. In the United States alone, the total cost of such injuries exceed $100 billion a year. The lower-back injury rate in the healthcare sector is one of the highest among all industry sectors. A main risk factor for lower-back injuries is the use of improper body mechanics when doing lifting and pulling activities. In healthcare venues, nursing homes in particular, nursing assistants are on the front line to take care of patients. Even in places where ceiling-mounted lifting equipment is installed, they are still required to handle the patient for bedside care, such as sliding the sling underneath the patient, scooping up the patient, putting on compression socks, etc. To help nursing assistants get into the habit of using proper body mechanics, we designed and implemented a privacy-aware compliance tracking system (PACTS). PACTS can track a nursing assistant for possible violation of proper body mechanics while doing bedside care and provide realtime feedback via a smart wearable device such as a smart watch worn by the nursing assistant. The system was deployed in a local nursing home for an 80-day field study in six rooms with seven participating nursing assistants. The test exposed several issues with the original design of the system. The primary issue is how to balance the privacy requirement and the usability of the system. Overemphasizing the former would negatively impact the latter. This issue is partially resolved with a leasing mechanism where the system would automatically register a nursing assistant within the lease period once she or he has manually registered with the system.

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Byzantine Fault Tolerant Event Stream Processing for Autonomic Computing

Cited by 15 publications

References 13 publications

Towards Trustworthy Collaborative Editing

Towards Trustworthy Collaborative Editing

Dependability enhancing mechanisms for integrated clinical environments

Design, Implementation, and Field Testing of a Privacy-Aware Compliance Tracking System for Bedside Care in Nursing Homes

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