A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments

Long, Saiqin; Long, Weifan; Li, Zhetao; Li, Kenli; Xia, Yuanqing

doi:10.1109/tpds.2020.3041029

Cited by 49 publications

(20 citation statements)

References 32 publications

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“…QoS describes the discrepancy between users' expectations (how to server SR) and users' perceptions (how to perform service). e user's quality of service (η sq i (x, T)) is evaluated with e η tc i � e ((S ex − S ac )/S ex ) is a fundamental expression to assess the price of service (PoS) with equation (9). Here, S ex and S ac refer to expected cost and actual cost, respectively:…”

Section: User Service Satisfactionmentioning

confidence: 99%

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DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

Mekala

Patan

Islam

et al. 2021

Security and Communication Networks

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The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approaches consider task deadline violation rate rather than performance cost and server size ratio during profit estimation, which impacts CSP revenue and causes high service cost. To address this issue, we develop two algorithms for profit maximization and adequate service reliability. First, a belief propagation-influenced cost-aware asset scheduling approach is derived based on the data analytic weight measurement (DAWM) model for effective performance and server size optimization. Second, the multiobjective heuristic user service demand (MHUSD) approach is formulated based on the CPS profit estimation model and the user service demand (USD) model with dynamic acyclic graph (DAG) phenomena for adequate service reliability. The DAWM model classifies prominent servers to preserve the server resource usage and cost during an effective resource slicing process by considering each machine execution factor (remaining energy, energy and service cost, workload execution rate, service deadline violation rate, cloud server configuration (CSC), service requirement rate, and service level agreement violation (SLAV) penalty rate). The MHUSD algorithm measures the user demand service rate and cost based on the USD and CSP profit estimation models by considering service demand weight, tenant cost, and energy cost. The simulation results show that the proposed system has accomplished the average revenue gain of 35%, cost of 51%, and profit of 39% than the state-of-the-art approaches.

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Section: User Service Satisfactionmentioning

confidence: 99%

“…us, the DAG theory's importance tremendously changed over the past decade since it influences the service execution time and resource usage. erefore, this issue is formulated as NPhard [9], and many heuristic approaches resolved the same issue through resource usage consolidation [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

Mekala

Patan

Islam

et al. 2021

Security and Communication Networks

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“…However, confronting illegal online access and malicious tampering, the log system lacks in log validation and user consensus. As a result, data privacy and integrity have been facing a tremendous threat [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…Further, for the issue that signers can threaten the privacy of log information, we proposed a novel lattice-based blind signature scheme enhanced the security level to complete the signature operation in this system, which blindness protects the privacy of log information, and one-more unforgeability keeps the validity of the blind signature. (3) We analyze the security in theory and implement a complete security proof, which reduces the difficulty of malicious attackers to forge signatures to the SIS problem. Moreover, we evaluate the comprehensive performance and prove that our scheme has a smaller signature length compared with similar schemes.…”

Section: Introductionmentioning

confidence: 99%

A Novel Post-Quantum Blind Signature for Log System in Blockchain

Xu¹,

Cao²,

Xu³

et al. 2022

Computer Systems Science and Engineering

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“…A considerable number of individuals and organizations may be tempted to store their files on the third cloud server, reducing local data storage for convenience. Unfortunately, the cloud storage server is semihonest because it is possible to be curious about the user's stored data in real-world applications [4], and data security concerns have become serious barriers to prevent the widespread usage of cloud storage for IoT. In order to mitigate the concern, the simple and efficient solution is to encrypt the storage of data to prevent information from being exposed to server, but one limitation is that the encryption mechanism inevitably brings about inflexibilities of data accessing when used to some extent, such as querying keywords on encrypted datasets.…”

Section: Introductionmentioning

confidence: 99%

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Zhou

Nan

Wang

2021

Security and Communication Networks

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At present, with the popularity of Internet of things (IoT), a huge number of datasets generated by IoT devices are being uploaded to the cloud storage in remote data management service, but a series of security and privacy defects also arises, where one of the best ways for preventing data disclosure is encryption. Among them, searchable encryption (SE) is considered to be a very attractive cryptographic technology, since it allows users to search records in an encrypted form and to protect user’s data on an untrusted server. For the sake of enhancing search permission, attribute-based keyword search (ABKS) is an efficient method to provide secure search queries and fine-grained access authentications over ciphertexts. However, most existing ABKS schemes concentrate on single keyword search, which usually returns redundant and irrelevant results, so it would cost some unnecessary computation and communication resources. Furthermore, existing work in the literature mostly only supports unshared multiowner where a specific data owner owns each file, which is not able to satisfy more desired expressive search. In this work, we propose a novel attribute-based multikeyword search for shared multiowner (ABMKS-SM) primitive in IoT to achieve enhanced access control for users; meanwhile, it can support multikeyword search over ciphertexts and give a formal security analysis in the adaptive against chosen keyword attack (IND-CKA) model. Finally, we have also implemented this prototype to show efficiency when compared with some previous schemes.

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A Game-Based Approach for Cost-Aware Task Assignment With QoS Constraint in Collaborative Edge and Cloud Environments

Cited by 49 publications

References 32 publications

DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre

A Novel Post-Quantum Blind Signature for Log System in Blockchain

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

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