http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Lambadaris, Ioannis (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Optimal Server Assignment in Multi-Server Queueing Systems with Random Connectivities
Hassan Halabian,Ioannis Lambadaris,Yannis Viniotis 한국통신학회 2019 Journal of communications and networks Vol.21 No.4
In this paper, we provide complementary resultson delay-optimal server allocation in multi-queue multi-server(MQMS) systems with random connectivities. More specifically,we consider an MQMS system where each queue is limited to getservice by at most one server during each time slot. It is known thatmaximum weighted matching (MWM) is a throughput-optimalserver assignment policy for such a system. In this paper, usingdynamic coupling argument we prove that for a system withi.i.d. Bernoulli arrivals and connectivities, MWM minimizes, instochastic ordering sense, a range of cost functions of the queuelengths such as total queue occupancy (which implies minimizationof average queueing delay). Finally, we propose a low complexityheuristic server assignment policy for MQMS systems namely leastconnected server first/longest connected queue (LCSF/LCQ) andthrough simulations we show that it performs very closely comparedwith the optimal policy in terms of average queueing delay.
-
Cloud Customer's Historical Record Based Resource Pricing
Aazam, Mohammad,Eui-Nam Huh,St-Hilaire, Marc,Chung-Horng Lung,Lambadaris, Ioannis IEEE 2016 IEEE transactions on parallel and distributed syst Vol.27 No.7
<P>Media content in its digital form has been rapidly scaling up, resulting in popularity gain of cloud computing. Cloud computing makes it easy to manage the vastly increasing digital content. Moreover, additional features like, omnipresent access, further service creation, discovery of services, and resource management also play an important role in this regard. The forthcoming era is interoperability of multiple clouds, known as cloud federation or inter-cloud computing. With cloud federation, services would be provided through two or more clouds. Once matured and standardized, inter-cloud computing is supposed to provide services which would be more scalable, better managed, and efficient. Such tasks are provided through a middleware entity called cloud broker. A broker is responsible for reserving resources, managing them, discovering services according to customer's demands, Service Level Agreement (SLA) negotiation, and match-making between the involved service provider and the customer. So far existing studies discuss brokerage in a narrow focused way. In the research outcome presented in this paper, we provide a holistic brokerage model to manage on-demand and advance service reservation, pricing, and reimbursement. A unique feature of this study is that we have considered dynamic management of customer's characteristics and historical record in evaluating the economics related factors. Additionally, a mechanism of incentive and penalties is provided, which helps in trust build-up for the customers and service providers, prevention of resource underutilization, and profit gain for the involved entities. For practical implications, the framework is modeled on Amazon Elastic Compute Cloud (EC2) On-Demand and Reserved Instances service pricing. For certain features required in the model, data was gathered from Google Cluster trace.</P>
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
