MidCloud: an agent‐based middleware for effective utilization of replicated Cloud services

Mohamed, Nader; Al-Jaroodi, Jameela

doi:10.1002/spe.2235

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…How to utilize these new emerging non-volatile memories to optimize the storage performance and the energy consumption would be one future direction. Cloud computing has become a hot topic to be studied [68][69][70][71][72][73][74][75]. How to employ the classified application behaviors to optimize the cloud storage performance with this hot area would be an interesting topic to explore.…”

Section: Discussionmentioning

confidence: 99%

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

Chen

Shen

et al. 2015

Softw. Pract. Exper.

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SUMMARYNAND flash memory has become the major storage media in mobile devices, such as smartphones. However, the random write operations of NAND flash memory heavily affect the I/O performance, thus seriously degrading the application performance in mobile devices. The main reason for slow random write operations is the out-of-place update feature of NAND flash memory. Newly emerged non-volatile memory, such as phase-change memory, spin transfer torque, supports in-place updates and presents much better I/O performance than that of flash memory. All these good features make non-volatile memory (NVM) as a promising solution to improve the random write performance for NAND flash memory. In this paper, we propose a non-volatile memory for random access (NVMRA) scheme to utilize NVM to improve the I/O performance in mobile devices. NVMRA exploits the I/O behaviors of applications to improve the random write performance for each application. Based on different I/O behaviors, such as random write-dominant I/O behavior, NVMRA adopts different storing decisions. The scheme is evaluated on a real Android 4.2 platform. The experimental results show that the proposed scheme can effectively improve the I/O performance and reduce the I/O energy consumption for mobile devices.

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Section: Discussionmentioning

confidence: 99%

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

Chen

Shen

et al. 2015

Softw. Pract. Exper.

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“…The broker layer consists of a Dynamic Resource Pool Manager that takes user specification as input, provisions the resources according to the specification, and monitors the resources after provisioning. Mohamed and Jaroodi [PS127] provide a middleware (MidCloud) for effective utilization of replicated cloud services and resources to reduce negative impact of dynamic service response delays. The layers consists of service registry that registers services on cloud, monitoring agents that monitor client applications and servers, and service adapters that adapt and deploy the services to minimize the delays.…”

Section: Solutionsmentioning

confidence: 99%

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

2016

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SUMMARYThe literature on the challenges of and potential solutions to architecting cloud-based systems is rapidly growing but is scattered. It is important to systematically analyze and synthesize the existing research on architecting cloud-based software systems in order to build a cohesive body of knowledge of the reported challenges and solutions. We have systematically identified and reviewed 133 papers that report architecture-related challenges and solutions for cloud-based software systems. This paper reports the methodological details, findings, and implications of a systematic review that has enabled us to identify 44 unique categories of challenges and associated solutions for architecting cloud-based software systems. We assert that the identified challenges and solutions classified into the categories form a body of knowledge that can be leveraged for designing or evaluating software architectures for cloud-based systems. Our key conclusions are that a large number of primary studies focus on middleware services aimed at achieving scalability, performance, response time, and efficient resource optimization. Architecting cloud-based systems presents unique challenges as the systems to be designed range from pervasive embedded systems and enterprise applications to smart devices with Internet of Things. We also conclude that there is a huge potential of research on architecting cloud-based systems in areas related to green computing, energy efficient systems, mobile cloud computing, and Internet of Things.

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“…In a similar way, the connections between agents and web services are very tight and have been studied for more than 15 years . Related proposals can be found in the recent autonomic and service‐oriented computing literature , where the system elements are named components rather than agents but exhibit basically the same features and raise the same challenges as agents, and in the cloud computing . Interestingly, a vast amount of literature addresses the relationships among all the three: agents, web services, and their semantics given by means of an ontology .…”

Section: Related Workmentioning

confidence: 99%

Agent‐oriented and ontology‐driven digital libraries: the IndianaMAS experience

et al. 2017

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This paper describes IndianaMAS, a multiagent system able to automatically classify and manage images, sketches, and multilingual documents in a cultural heritage domain. The latter has been formalized by means of an ontology, which enables the semantic integration of heterogeneous data from different sources, drives the agent communication with the internal and external environment, and provides an abstract and human- readable interface between the system and the user. IndianaMAS is able to expose to the world the classified data via a digital library. Modularity and reusability are the key engineering principles followed in the system design and implementation. We present the details of the IndianaMAS system and discuss how its archi- tecture can be generalized to create – with the minimal effort – systems addressing similar classification, storage, and management problems, but operating in different domains and driven by different ontologies. The concrete problems we faced and their solutions are described to share our lesson learned and, at the same time, to show the applicability and reusability of our modular approach based on ontologies, agents, and digital libraries

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MidCloud: an agent‐based middleware for effective utilization of replicated Cloud services

Cited by 11 publications

References 27 publications

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

Architecting cloud‐enabled systems: a systematic survey of challenges and solutions

Agent‐oriented and ontology‐driven digital libraries: the IndianaMAS experience

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