CN103731372A - Resource supply method for service supplier under hybrid cloud environment - Google Patents
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- CN103731372A CN103731372A CN201310722625.4A CN201310722625A CN103731372A CN 103731372 A CN103731372 A CN 103731372A CN 201310722625 A CN201310722625 A CN 201310722625A CN 103731372 A CN103731372 A CN 103731372A
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Abstract
The invention discloses a resource supply method for a service supplier under the hybrid cloud environment. From the point of the cloud service supplier and by the utilization of a hybrid cloud model, the invention provides a real-time dynamic and efficient virtual resource scheduling and supplying method so as to meet the demand of every user; the demands of the users are abstracted to be independent tasks, if no proper resource is distributed for the current task, the task not performed is dynamically adjusted in a minimum mode, the cost is adjusted to be minimum while the current task can meet the deadline; if even the maximization adjustment can not make the current task meet the deadline, renting of similar service in the public cloud is considered, energy consumption and earnings for accepting the task are weighed, the least amount of service is rented to achieve the revenue maximization, the time of completion and the utilization rate of the resources are optimized, and the service quality of the users is ensured effectively.
Description
Technical field
The present invention relates to the resource provisioning method of ISP under a kind of mixed cloud environment, belong to cloud computing resources dispatching technique field
Background technology
Based on the particularly development of grid computing of Distributed Calculation, produced a kind of new services computation model: cloud computing (Cloud Computing).Cloud computing is a kind ofly can in mode easily, as required, access by network the pattern in a configurable computing resource sharing pond, this resource-sharing pond can be with minimum administration overhead and minimum and supplier mutual, configure rapidly, provide or releasing resource.Cloud computing comprises three kinds of service modes: software serve (Software as a Service, SaaS), platform serves (Platform as a Service, PaaS) and infrastructure serve (Infrastructure as a Service, IaaS); The main deployment way of cloud computing has privately owned cloud (Private Clouds), publicly-owned cloud (Public Clouds) and mixed cloud (Hybrid Clouds).Mixed cloud is the mixing coupling of inner base facility (privately owned cloud) and external public service (publicly-owned cloud).
The main advantage of cloud computing is: can promptly reduce hardware cost and promote computing capability and memory capacity etc.; User can drop into and obtain high calculating quality with extremely low cost, and need not reinvest, buys expensive hardware device, maintains frequently and upgrades.Due to above-mentioned advantage, the scale of cloud computing can be very large; Be different from the formula of the monopolizing resource allocation mode of grid, the resource in cloud environment will be shared by all users simultaneously, can move well guaranteeing to the operation of delay-sensitive at Yun Shangye.So the key problem of cloud computing is resource management, it has the requirement of strict harshness to the allocation algorithm of computational resource.
IaaS is the basis of higher level service (as PaaS, SaaS), and it allows cloud service provider, in the mode of virtual machine (Virtual Machines, VMs), resource is leased to cloud user.Cloud user selects VM example according to demand, but the arrival of cloud user request is random, type and the quantity of simultaneously required VM example resource are unknown, therefore may there is the situation that numerous requests arrive simultaneously, IaaS provider can not guarantee to meet all users' requirement simultaneously and guarantee user's service quality (Quality of Service, QoS) with limited resource.
At present, there are two kinds of main solutions.The one, resource distribution takes first to serve first (First Come First Service, FCFS) method, if IaaS cloud can meet the user's request of first arrival with regard to the user that meets of maximal condition, and makes other user's requests be placed in wait state; If IaaS cloud can not meet user's demand, just make its wait or abandoned.But this method lacks on the whole to the control of resource and distribution, can cause a lot of unnecessary expenses and the waste of resource.Another kind of solution is intuitively to purchase a large amount of equipment in advance, and this has cost-benefit pattern for some large-scale cloud service providers very much, but is not a feasible strategy for middle-size and small-size cloud service provider; While is due to fixing resource and need a large amount of funds, causes large, medium and small cloud service to provide commercial city to lack flexibility.
Summary of the invention
Goal of the invention: for problems of the prior art and deficiency, the invention provides the resource provisioning method of ISP under a kind of mixed cloud environment, utilize mixed cloud model from IaaS service provider's angular distribution resource, to effectively dispatch the limited resource of IaaS cloud and minimize its cost and assurance user's QoS.
Technical scheme: a kind of ISP's resource provisioning method under mixed cloud environment, comprises the following steps: first judge that whether the Service Source under privately owned cloud environment is sufficient, if sufficient, adopt services selection strategy that task is distributed in applicable service; If inadequate, adopt adjustment of yield strategy, the task in current task and to-be-processed task list is re-started to distribution, the target of adjustment is the punishment minimum of always exceeding the time limit; If maximum adjustment can not make the income of current task be greater than, always the exceed the time limit total revenue of punishment and current all waiting tasks is greater than and leases cost, adopt publicly-owned cloud to lease strategy, from publicly-owned cloud, lease suitable service, set up mixed cloud scheduling model, consider to lease cost, adjust the multiple targets such as the rear publicly-owned cloud resource transmission of privately owned cloud cost, energy consumption, design high efficiency smart method, draws optimal scheduling scheme.
Beneficial effect: compared with prior art, the present invention, by realizing online dynamic assignment appropriate resources, has optimized completion date and resource utilization.
In addition, the present invention is by continuous inspection and optimization to privately owned cloud service node, judge whether it can meet the requirement of scheduling of resource, if can not, lease similar service in publicly-owned cloud, the income that balance energy consumption and task complete, rents minimum service and makes maximum revenue, has increased flexibility and resource utilization.
Accompanying drawing explanation
Fig. 1 is the structure chart that the embodiment of the present invention realizes the resource provisioning method of ISP under mixed cloud environment;
Fig. 2 is the flow chart of services selection when service is sufficient in the embodiment of the present invention;
Fig. 3 is the flow chart that when service is not enough in the embodiment of the present invention, adjustment of yield and publicly-owned cloud are leased.
Embodiment
Below in conjunction with specific embodiment, further illustrate the present invention, should understand these embodiment is only not used in and limits the scope of the invention for the present invention is described, after having read the present invention, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present invention.
The embodiment of the present invention realize ISP under mixed cloud environment resource provisioning method structure chart as shown in Figure 1, comprise privately owned cloud 11, publicly-owned cloud 12 and waiting task buffer queue 13.In the present embodiment, suppose service node S={S
1, S
2..., S
mbeing one, to comprise m function identical, the privately owned cloud service node that working ability is different.A large amount of separate tasks are constantly called S service, leave them in buffer queue WL={t according to the strategy of first serving first
k+1..., t
n-1, t
nin.For each sub-services s
j, establish t
j,ifor s
jcurrent processing of task (with time started and deadline), distributes to s
jstill unenforced task list WS
jl={t
j, 1, t
j, 2..., t
j,irepresent each Service Source s
jthere is list between available area (Service Source can Processing tasks be exactly list between the available area of Service Source in certain time period).
As shown in Figure 2, when Service Source is sufficient, the concrete steps of Service Source selection strategy are as follows:
Step s201, judges in privately owned cloud 11 whether have task in Service Source and to-be-processed task list, if there is no task, method finishes; If there is task, go to step s202.
Step s202, according to each Service Source s
jin the task t of processing
j,iwith its wait task list WS
jeach task status in L, upgrades each Service Source s
javailable interval table.
Step s203, receives task call, and newly arriving of task is added in buffer queue WL, takes the strategy of first serving first, considers first task t in queue
k+1, according to t
k+1task amount constraint in service-level agreement (Service Level Agreement), calculates t
k+1at each Service Source s
jon processing time time
j.
Step s204, according to each Service Source s
javailable interval table and current task t
k+1at each Service Source s
jon processing time time
j, calculate t
k+1the ftime of completion date the earliest and the Service Source S of its distribution
a.
Step s205, judgement current task t
k+1the ftime of completion date the earliest and the relation of SLA approximately intrafascicular task off period ltime, if ftime≤ltime goes to step s205; Otherwise go to step s301.
Step s206, receives this task, is added corresponding with service resource s
await task list WS
ain L, upgrade Service Source s
aavailable area between list, go to step s201.
Fig. 3 is the embodiment of the present invention a kind of flow chart that adjustment of yield and publicly-owned cloud are leased while serving deficiency.As shown in the figure, when Service Source is not enough, it is as follows that adjustment of yield strategy and publicly-owned cloud 12 are leased tactful concrete steps:
Step s301, for m Service Source, extracts their wait task queue WS
jtask in L, upgrades list between each Service Source available area.
Step s302, considers all unenforced m task (each Service Source s
jwait task list WS
jfirst task in L, if any) and all unenforced 2m task (each Service Source s
jwait task list WS
jfirst and second in L task, if any) and 2m+1 task forming of current task tk+1, is re-assigned to 2m+1 task on m server, and the target of adjustment is to minimize adjustment, makes all tasks all meet deadline separately.
Step s303, if 2m+1 task readjusting on m Service Source makes all tasks can both meet the off period separately, goes to step s304; Otherwise go to step s305.
Step s304, receives this task, is added corresponding with service resource s
await task list WS
ain L, upgrade Service Source s
aavailable area between list, go to step s201.
Step s305, if maximum (two-layer) dynamically adjustment can not make all tasks meet the off period, change target function, consider the punishment of exceeding the time limit in 2m+1 task SLA, dynamically adjust the distribution of 2m+1 task in m resource, make always to exceed the time limit to punish that fout is minimum.
Step s306, the more minimum income fin that exceeds the time limit to punish fout and receive this task acquisition, if fin >=fout goes to step s304; Otherwise go to step s307.
Step s307, the expense cost rentprice that obtains the income allfin of all tasks of exceeding the time limit on m Service Source and lease publicly-owned cloud 12.
Step s308, if allfin >=rentprice goes to step s304, otherwise goes to step s309.
Step s309, obtains the number of tasks in waiting task buffer queue WL, is designated as num.If num >=1, goes to step s310, otherwise goes to step s311.
Step s310, by current task t
k+1rejoin in waiting task buffer queue WL, go to step s201.
Step s311, by current task t
k+1rejoin in waiting task buffer queue WL, wait on m Service Source and have tasks carrying complete, upgrade each Service Source s
javailable interval table, go to step s201.
By said process, the present invention realizes the distribution function of Service Source under mixed cloud environment, and the utilance that makes Service Source is in high state and effectively guaranteed the service quality of task.
Claims (5)
1. ISP's a resource provisioning method under mixed cloud environment, is characterized in that, the method comprises the following steps:
A. judge in privately owned cloud whether have task in Service Source and to-be-processed task list, if there is no task, method finishes; If there is task, the state of processing according to Service Source in privately owned cloud and each task status in to-be-processed task list, upgrade Service Source and can use interval table;
B. receive task call, judge that whether Service Source is sufficient; If Service Source is sufficient, adopt services selection strategy that task is distributed in the service satisfying condition, make all tasks all can meet deadline; If Service Source is inadequate, go to step C;
C. the minimum that judges all tasks always exceeds the time limit to punish the income that whether is less than or equal to all tasks; If be less than or equal to, task is adjusted, maximize task income and minimize the punishment of always exceeding the time limit; If be greater than, go to step D;
Whether the income that D. judges all tasks of exceeding the time limit is more than or equal to publicly-owned cloud is leased cost; If be more than or equal to, leased publicly-owned cloud and carry out task processing; If be less than, go to step E;
E. judge whether the task number in to-be-processed task list is more than or equal to 1; If be more than or equal to, this task is rejoined to to-be-processed task list, go to step A; If be less than, go to step F;
F. waiting in Service Source has tasks carrying complete; Go to step A.
2. ISP's resource provisioning method under mixed cloud environment as claimed in claim 1, is characterized in that, in steps A, in described privately owned cloud, between Service Source, to-be-processed task list, task status and Service Source available area, list represents, is specially:
Service Source S={S
1, S
2..., S
mbeing one, to comprise m function identical, the privately owned cloud service node that working ability is different;
To-be-processed task list buffer queue WL={t
k+1..., t
n-1, t
nexpression, wherein t
irepresent pending task, WL represents the set of all waiting tasks;
Task status comprises the time started of task and the deadline of task;
Service Source can represent that Service Source can Processing tasks in certain time period with interval table.
3. ISP's resource provisioning method under mixed cloud environment as claimed in claim 1, is characterized in that, step B specifically comprises:
B1. newly arriving of task is added in buffer queue, take the strategy of first serving first, consider first task t in queue
k+1, calculate its processing time on each Service Source;
B2. according to the available interval table of each Service Source and current task t
k+1processing time on each Service Source, calculation task t
k+1ftime and the Service Source of its distribution on earliest finish time;
B3. judge task that ftime and service-level agreement are approximately intrafascicular deadline ltime relation, if ftime≤ltime receives current task t
k+1, go to step A.
4. ISP's resource provisioning method under mixed cloud environment as claimed in claim 1, is characterized in that, in step C, described in the exceed the time limit income of punishment and task be specially:
Exceed the time limit to punish and refer to that the deadline of task is greater than the deadline of task, the extra charge of bringing;
The income of task refers to that task is after completing, the benefit of bringing.
5. ISP's resource provisioning method under mixed cloud environment as claimed in claim 1, is characterized in that, step C specifically comprises:
C1. consider all unenforced m tasks and current task t
k+1m+1 the task forming, is re-assigned to m+1 task on m server, and the target of adjustment is to minimize adjustment, makes all tasks all can meet deadline separately;
If C2. m+1 task readjusting on m Service Source, makes all tasks all can meet deadline separately, go to step A; Otherwise go to step C3;
C3. consider all unenforced 2m tasks and current task t
k+12m+1 the task forming, is re-assigned to 2m+1 task on m server, and the target of adjustment is to minimize adjustment, makes all tasks all can meet deadline separately;
If C4. 2m+1 task readjusting on m Service Source, makes all tasks all can meet deadline separately, go to step A; Otherwise go to step C5;
If C5. maximum dynamic adjustment can not make all tasks meet deadline separately, change target function, consider the punishment of exceeding the time limit in 2m+1 task SLA, dynamically adjust the distribution of 2m+1 task in m resource, make always to exceed the time limit to punish that fout is minimum;
C6. judgement is minimum always exceeds the time limit to punish fout and receives the income fin that this task obtains, if fin >=fout receives this task, goes to step A.
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| CN106462471A (en) * | 2014-06-30 | 2017-02-22 | 微软技术许可有限责任公司 | Opportunistically connecting private computational resources to external services |
| CN104104545A (en) * | 2014-07-22 | 2014-10-15 | 浪潮(北京)电子信息产业有限公司 | Method, device and system for evaluating service quality of CSPs |
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| CN104536806A (en) * | 2014-12-26 | 2015-04-22 | 东南大学 | Workflow application flexible resource supplying method in cloud environment |
| CN104536806B (en) * | 2014-12-26 | 2017-11-03 | 东南大学 | A kind of workflow application flexible resource Supply Method under cloud environment |
| CN106973030A (en) * | 2016-01-14 | 2017-07-21 | 北京仿真中心 | A kind of cloud artificial resource dispatching method based on SLA |
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| CN108234617A (en) * | 2017-12-26 | 2018-06-29 | 国家电网公司 | A kind of resource dynamic dispatching method under the mixing cloud mode towards electric system |
| CN108234617B (en) * | 2017-12-26 | 2021-01-15 | 国家电网公司 | Dynamic resource scheduling method in hybrid cloud mode for power system |
| CN108259584A (en) * | 2017-12-30 | 2018-07-06 | 广东技术师范学院 | A kind of task strategy control method of cloud storage service side |
| CN108154317A (en) * | 2018-01-25 | 2018-06-12 | 福建师范大学 | The workflow group scheduling method that Case-based Reasoning self-adjusted block is integrated under cloudy environment |
| CN108154317B (en) * | 2018-01-25 | 2021-09-21 | 福建师范大学 | Workflow group scheduling method based on example self-adaptive distribution integration in multi-cloud environment |
| CN109618239A (en) * | 2018-11-20 | 2019-04-12 | 苏州城铺网网络科技有限公司 | A kind of resource transmission method based on internet interactive application |
| CN109710392A (en) * | 2018-12-21 | 2019-05-03 | 万达信息股份有限公司 | A kind of heterogeneous resource dispatching method based on mixed cloud |
| CN110308967A (en) * | 2019-06-06 | 2019-10-08 | 东南大学 | A kind of workflow cost based on mixed cloud-delay optimization method for allocating tasks |
| CN110308967B (en) * | 2019-06-06 | 2023-05-30 | 东南大学 | Workflow cost-delay optimization task allocation method based on hybrid cloud |
| CN115237592A (en) * | 2022-07-12 | 2022-10-25 | 苏州大学 | Mixed cloud service flow scheduling method based on privacy perception |
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| CN117033693B (en) * | 2023-10-08 | 2024-03-08 | 联通沃音乐文化有限公司 | Method and system for cloud processing in mixed mode |
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