A Cost-oriented oriented Tool to Support Server Consolidation

Transcription

1 A Cost-oriented oriented Tool to Support Server Consolidation Danilo Ardagna Politecnico di Milano Italy

2 Summary Research objectives and Motivation Server Consolidation design phases and variables Empirical verifications Conclusions and Future Work D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

3 Research objectives and Motivation Joint project between IBM and Politecnico di Milano Infrastructure System Integrated Design Environment (ISIDE) validation Sever Consolidation Reduce the TCO (investment and management costs) Research Objectives: Support Server Consolidation Process Identify the IT architecture of minimum cost Performance Scalability Dependability D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

4 Server Consolidation Design Phases Select the consolidation technique Select the server models Size the systems Assign each application to a server Identify the optimal location of servers (if appropriate) D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

5 Enterprise Information System Model LAN LAN Thin client Fat client/ HFC Internet Thin/HFC Server LAN LAN Application Server Backbone Link Node D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

6 Availability Model 1-to-1 clusters Asymmetric mode (Active-Passive): server applications run on two servers but only one machine delivers service to users the second one is in standby Symmetric mode (Active-Active): server applications are installed on the two machines but only one instance of a server application is executed on the cluster Load sharing HA clusters Two or more nodes deliver the same service D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

7 Design Variables Organization sites S i : sets of organizational resources connected by a LAN User classes C i : groups of users with a common application profile Applications A i : sets of functionalities that can be accessed by activating a single computing process Databases D i : separate sets of data that can be independently stored, accessed and managed D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

8 Design Constraints Client Typology: each user class can be associated to a client typology Consolidation Islands Γ k : Sets of server applications A i (thin/hfc servers) that can be possibly allocated to the same cluster Localization constraints Technology constraints: The family of servers that will be adopted for the server consolidation The virtualization of the servers in the consolidation island by means of a Virtual Machine Monitor (VMM) The value of availability AV required for the hardware platform The fault tolerant schema implemented in the consolidated system D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

9 Consolidation Island D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

10 Cost minimization algorithm The cost-minimization problem in NP-hard. To reduce complexity we have applied a problem decomposition technique Server Optimization Set-partitioning Design variables and constraints Server Localization Overall Reoptimization Final Solution Min k-cut (extended) Tabu-search Client Optimization Set-partitioning &Tabu-search D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

11 Empirical verifications Analyses focus on four case studies, which have substantially different requirements The solutions provided by the software tool have been compared with those of the IBM project team The solution provided by the software tool considers two different scenarios: peak CPU utilization load 100% CPU utilization D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

12 Case Studies Project A: 20 servers: 8 servers, 8 file servers and 4 print servers Peak utilization varies between 5% and 77% Two different alternatives: File and print servers are consolidated on separate machines File and print servers are consolidated on the same set of machines Server families xseries 345 and xseries 360. No availability constraints The software tool solution is cheaper in the peak utilization scenario of about 30%, while in the 100% scenario is more expensive than the IBM solution of about 5% Project B: 27 servers located in three remote sites Peak utilization varies between 30% and 90% Server families xseries 360 and xseries 440. No availability constraints The software tool solution is cheaper than the IBM solution of about 59% in the peak utilization scenario and about 35% in the 100% scenario D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

13 Case Studies Project C: 56 servers located in two remote sites Peak utilization varies between 1% and 89% Server families xseries 445 and BladeCenter. No availability constraints The software tool solution is cheaper than the IBM solution of about 35% in the peak utilization scenario. Vice versa the 100% scenario it is more expensive by 14% but the system is over-sized Project D: 32 servers located in two remote sites Peak utilization varies between 2% and 90% Consolidation islands: Γ 1 includes 8 DBMS servers, the target system is xseries 440; Γ 2 includes 2 servers, the target system is xseries 440; Γ 3 includes heterogeneous servers (mainly web and application servers), the target system is BladeCenter; Γ 4 includes heterogeneous servers (network and file servers), the target system is BladeCenter with a Virtual Machine Monitor (VMware ESX Server) Five nine availability for Γ 1 and Γ 2 load sharing The 100% utilization scenario is very expensive since the system is oversized, the cost difference between the peak utilization scenario and the solution identified by the project team is about 22% D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS

14 Conclusions and Future Work We have developed a software tool which supports server consolidation projects and identifies the IT infrastructure of possible minimum cost The tool has been tested by considering four real projects implemented by IBM system designers Results show that our minimum cost solution is realistic and the cost reduction with respect to an expert ranges in 20-30% of the TCO The minimum cost solution can support technology experts on further analysis and allows to reduce the time, costs and efforts required in server consolidation projects Future work will consider scalability issues in the server consolidation projects D. Ardagna, C. Francalanci, G. Bazzigaluppi,, M. Gatti,, F. Silveri,, M. Trubian - ICEIS